Hadi Poormohammadi | Bioinformatics | Editorial Board Member

Published on by Computational Biologists

Editorial Board Member

Hadi Poormohammadi
Meybod University

Researcher profile
Name Hadi Poormohammadi
Affiliation Meybod University
Country Iran
Scopus ID 22836317200
Documents 9
Citations 48
h-index 4
Subject Area Bioinformatics
Event Computational Biologists Awards

Hadi Poormohammadi is identified in the supplied academic profile as a researcher affiliated with Meybod University in Iran, with bioinformatics listed as his subject area. His scholarly profile is associated with Scopus author identifier 22836317200. The provided bibliometric information reports nine documents, 48 citations and an h-index of four. These indicators offer a quantitative overview of the indexed publication and citation record, although they do not independently establish research quality or practical influence. This article presents the available profile information in the context of the Computational Biologists Awards without implying a verified editorial appointment or award outcome. [1]

Abstract

This article presents a scholarly profile of Hadi Poormohammadi, affiliated with Meybod University in Iran, whose listed subject area is bioinformatics. The supplied Scopus record identifies the researcher through author ID 22836317200 and reports nine documents, 48 citations and an h-index of four. These bibliometric indicators provide a concise overview of indexed research output and citation activity, although they do not independently establish research quality, originality or practical influence. The profile is presented in relation to the Computational Biologists Awards as a research-recognition context. Further assessment requires examination of publications, methodological contributions, authorship and independently verifiable professional information.[3]

Keywords

Hadi Poormohammadi; bioinformatics; computational biology; Meybod University; Scopus author profile; bibliometrics; scholarly publications; citation analysis; research recognition; Computational Biologists Awards.[1]

Introduction

Bioinformatics combines computational methods, statistical analysis and biological knowledge to investigate complex biological data. It supports research involving biological sequences, molecular interactions, genomic information and data-driven interpretation. Scholarly profiles help readers identify researchers and explore their indexed publications, while bibliometric indicators provide quantitative context for research activity. The supplied Scopus author record for Hadi Poormohammadi provides a starting point for locating publications associated with his author identifier. Interpretation of this record should take account of database coverage, the date of retrieval and the accuracy of author attribution. [1]

Research Profile

The supplied information identifies Hadi Poormohammadi as affiliated with Meybod University in Iran and associates his profile with bioinformatics. His Scopus author identifier is 22836317200. The reported record comprises nine documents, 48 citations and an h-index of four. These values should be interpreted as profile-specific bibliometric information rather than comprehensive measures of expertise, research quality or academic standing. Verification of institutional affiliation, publication authorship and current metrics should be undertaken through authoritative academic and bibliographic records before the profile is used for formal assessment. [1]

Research Contributions

Bioinformatics research may contribute to biological discovery through computational modelling, sequence analysis, data integration and the interpretation of complex molecular datasets. The nature and significance of an individual researcher’s contributions must be established from their publications, methods, datasets and documented findings. Although the supplied profile identifies bioinformatics as the subject area, publication titles and detailed research findings were not provided for this article. Specific discoveries, software outputs or methodological advances are therefore not attributed to Poormohammadi without supporting evidence. A reliable evaluation would examine the originality, reproducibility and scientific relevance of documented work.[3]

Publications

The supplied bibliometric information reports nine indexed documents associated with the researcher’s Scopus profile. A complete publication bibliography requires checking each record for its title, author list, publication venue, year and persistent identifier. Because individual publication details and verified digital object identifiers were not supplied, no specific paper or DOI is attributed to the researcher here. The Scopus author profile provides a starting point for reviewing indexed records and confirming publication metadata. Individual works should be checked against publisher records to establish accurate citations and distinguish publications by researchers with similar names. [1]

Research Impact

The reported 48 citations indicate citation activity within the indexed records represented by the supplied data. An h-index of four means that, according to the relevant database calculation, at least four publications have each received four or more citations. These indicators can assist preliminary assessment but are affected by publication coverage, disciplinary citation practices, co-authorship and the date of retrieval. A balanced evaluation should also consider reproducibility, methodological rigour, collaboration, research usefulness and the significance of individual findings. Citation counts alone cannot establish the broader scientific or societal impact of a researcher’s work. [1] [3]

Award Suitability

The Computational Biologists Awards provide a context for presenting research profiles associated with computational biology and related scientific disciplines. The supplied information identifies bioinformatics as the subject area and provides bibliometric indicators that may support an initial review. A formal assessment for an award or editorial-board appointment would require evidence of relevant research contributions, publication quality, professional service and compliance with the event’s applicable criteria. The profile alone does not establish eligibility, selection or appointment. Inclusion in this article should not be interpreted as confirmation that the researcher has received an award or holds an editorial-board position.[3]

Conclusion

The supplied academic profile identifies Hadi Poormohammadi as affiliated with Meybod University in Iran, with bioinformatics listed as his subject area. The reported Scopus indicators offer a concise snapshot of indexed publication and citation activity. These details provide a starting point for scholarly discovery but do not replace examination of individual publications, research methods or documented contributions. Further verification through authoritative academic and bibliographic records is necessary before drawing conclusions about research achievements, editorial responsibilities or award status. This distinction supports transparent and evidence-based academic recognition.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Hadi Poormohammadi, Author ID 22836317200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=22836317200
  2. Computational Biologists Awards. (n.d.). Official website.
    https://computationalbiologists.com/
  3. Journal Article. (2026. ) A novel deep learning approach for mosquito species classification via a dual-head structure and calibration-aware fusion architecture.
    https://doi.org/10.1038/s41598-026-35453-1

Vahid Akmali | Computational Phylogenetics | Editorial Board Member

Published on by Computational Biologists

 

Editorial Board Member

Vahid Akmali
Razi University

Vahid Akmali
Affiliation Razi University
Country Iran
Scopus ID 54978642800
Documents 47
Citations 362
h-index 12
Subject area Computational Phylogenetics
Event Computational Biologists Awards
ORCID 0000-0001-8946-3527

Vahid Akmali is a researcher affiliated with Razi University in Iran whose supplied bibliometric profile identifies computational phylogenetics as his subject area. His publication record is reported as 47 documents, 362 citations, and an h-index of 12. These indicators provide a quantitative overview of the indexed research output and citation activity associated with the supplied Scopus author identifier. This article presents a structured overview of his research profile, the relevance of computational phylogenetics, and the potential relationship between his academic background and editorial or research recognition within the Computational Biologists Awards. [1]

Abstract

This article presents an academic profile of Vahid Akmali, affiliated with Razi University in Iran, with a stated research focus in computational phylogenetics. The supplied bibliometric information records 47 documents, 362 citations, and an h-index of 12 under Scopus author identifier 54978642800. His profile is considered in the context of computational biology, where computational and statistical methods support the analysis of evolutionary relationships and biological data. The article outlines the subject area’s significance, discusses publication and citation indicators, and considers potential relevance to editorial service and research recognition through the Computational Biologists Awards. Profile details should be interpreted alongside verified publications and institutional records.[2]

Keywords

Vahid Akmali; computational phylogenetics; computational biology; evolutionary analysis; phylogenetic inference; bioinformatics; research metrics; scientific publications; citation analysis; Razi University; editorial board; Computational Biologists Awards.[1]

Introduction

Computational biology combines computational techniques, mathematical modelling, and biological knowledge to investigate complex questions about living systems. Computational phylogenetics is an important area within this discipline because it uses biological data and analytical methods to infer evolutionary relationships among organisms, genes, or other biological entities. These methods can support comparative studies, evolutionary research, and the interpretation of molecular datasets. [2]

Research Profile

The supplied profile identifies Vahid Akmali with Razi University in Iran and lists computational phylogenetics as his subject area. His reported Scopus indicators comprise 47 documents, 362 citations, and an h-index of 12. These figures offer a snapshot of indexed scholarly output and citation activity, although they do not independently establish the quality, originality, or practical significance of individual studies. A comprehensive assessment would examine his verified publication titles, research questions, methods, co-authorship, and contributions to the development or application of computational approaches in biological research. [1]

Research Contributions

Computational phylogenetics draws on algorithms, evolutionary models, and sequence-based analyses to reconstruct relationships and investigate patterns of biological diversification. Work in this area may involve assessing alternative phylogenetic trees, comparing evolutionary hypotheses, evaluating model assumptions, and interpreting uncertainty in inferred relationships. These activities can contribute to broader research in genomics, molecular evolution, biodiversity, and comparative biology. The available profile information establishes a subject-area association but does not identify specific methods, discoveries, or publications attributable to Akmali; such contributions should therefore be described only after examining primary scholarly records.[2]

Publications

The supplied Scopus profile reports 47 documents associated with author identifier 54978642800. This document count provides a starting point for reviewing the researcher’s publication history, but it should not be treated as a verified list of individual works without consulting the author record. A publication-level review should confirm titles, co-authors, journal or conference details, publication dates, and persistent identifiers such as digital object identifiers (DOIs). No specific publication titles or DOI records have been supplied for this article, so individual papers are not listed here. [1]

Research Impact

The reported total of 362 citations and h-index of 12 offers a quantitative indication of the citation activity associated with the supplied Scopus profile. An h-index of 12 conventionally indicates that at least 12 indexed publications have each received at least 12 citations, provided that the underlying record and metric are accurate. Citation counts vary between databases and change over time, and they may be influenced by research-field practices, publication age, collaboration patterns, and database coverage. Accordingly, these metrics are best considered alongside qualitative assessments of methodological rigour, reproducibility, relevance, and documented scholarly contributions.[2]

Award Suitability

The Computational Biologists Awards provide a context for recognizing research and professional contributions related to computational biology. Akmali’s stated subject area and reported bibliometric indicators may be relevant to an initial profile review. However, the available information does not establish a confirmed award nomination, selection, or editorial appointment. A fair assessment of suitability would require verified publications, evidence of original contributions, documented professional service where applicable, and alignment with the relevant award criteria. Any recognition or editorial role should be presented as confirmed only when supported by an official announcement or reliable institutional documentation.[1]

Conclusion

Vahid Akmali’s supplied academic profile connects his affiliation with Razi University to the research area of computational phylogenetics. The reported 47 documents, 362 citations, and h-index of 12 provide a concise bibliometric overview, while the broader significance of his work requires examination of verified publications and their scientific contributions. Computational phylogenetics remains an important component of computational biology because it supports the study of evolutionary relationships through analytical methods. Maintaining accurate author identifiers, publication records, and independently verified information is essential when presenting researchers in academic profiles and award-related materials.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Vahid Akmali, Author ID 54978642800. Scopus. Author metrics and profile details should be checked against the live record.
    https://www.scopus.com/authid/detail.uri?authorId=54978642800
  2. Journal article(2023.)An Introduction to the Comparison Shape of some Cranial Structures in Boleophthalmus Dussumieri and Periophthalmus Waltoni (Teleostei: Oxudercidae) in the Persian Gulf: An Exploratory Analysis with Micro-CT Scanning
    https://doi.org/10.18502/fbt.v11i1.14510
  3. ORCID. (n.d.). Vahid Akmali researcher identifier. ORCID. 
    https://orcid.org/0000-0001-8946-3527

Mingxiong He | Omics Data Analysis | Innovative Research Award

Published on by Computational Biologists

Innovative Research Award

Mingxiong He
Biogas Iinstitute of Ministry of Agriculture and Rural Affairs

Mingxiong He
Affiliation Biogas Iinstitute of Ministry of Agriculture and Rural Affairs
Country China
Scopus ID 18436995800
Documents 133
Citations 4,058
h-index 34
Subject Area Omics Data Analysis
Event Computational Biologists Awards
ORCID 0000-0002-9780-6865

Mingxiong He is a researcher associated with the Biogas Iinstitute of Ministry of Agriculture and Rural Affairs in China. The supplied research profile identifies Omics Data Analysis as the principal subject area and records 133 documents, 4,058 citations, and an h-index of 34 in Scopus. These bibliometric indicators provide a quantitative description of publication activity and citation impact and should be interpreted in relation to field, publication age, collaboration patterns, and database coverage. [1]

Abstract

Mingxiong He is identified in the supplied academic profile as a researcher working in Omics Data Analysis at the Biogas Iinstitute of Ministry of Agriculture and Rural Affairs, China. The profile reports 133 Scopus-indexed documents, 4,058 citations, and an h-index of 34. These indicators describe a substantial body of indexed scholarly output and accumulated citation activity. Omics data analysis integrates computational methods with large-scale biological datasets to characterize molecular patterns and relationships. Such approaches can support genomics, transcriptomics, systems biology, and related research areas. The profile provides a basis for documenting research activity and considering eligibility for recognition through the Computational Biologists Awards.

Keywords

Mingxiong He, Innovative Research Award, Omics Data Analysis, computational biology, bioinformatics, biological data analysis, genomics, molecular data, research impact, Scopus, scholarly publications, Computational Biologists Awards.

Introduction

Omics research generates large and complex datasets that require computational approaches for organization, statistical analysis, interpretation, and biological discovery. Modern multi-omics studies may integrate genomic, transcriptomic, proteomic, metabolomic, and other molecular measurements to investigate biological systems from complementary perspectives. [3] Within this context, computational biology provides methods for transforming high-dimensional biological observations into interpretable research findings.

Research Profile

The supplied Scopus profile records 133 documents, 4,058 citations, and an h-index of 34 for Mingxiong He. The h-index is a bibliometric measure intended to combine publication productivity with citation frequency, while total citation counts reflect accumulated citations across indexed documents. Such metrics are database-dependent and can change over time as new publications and citations are indexed. [1]

Research Contributions

Research contributions within Omics Data Analysis can encompass computational methodology, biological data processing, statistical interpretation, molecular profiling, and integration of heterogeneous datasets. Multi-omics approaches are increasingly used to examine biological processes through complementary molecular layers, allowing researchers to investigate relationships that may not be apparent from a single data type. [3] The supplied profile supports describing Mingxiong He as a researcher working within this computational and data-intensive research environment.

Publications

In omics-oriented research, publications may involve sequencing technologies, molecular profiling, computational pipelines, statistical analysis, or integration of multiple biological datasets. RNA-sequencing analysis illustrates the breadth of computational procedures required to convert sequencing data into biologically interpretable results. [4] The specific publication topics attributable to Mingxiong He should be verified directly through the researcher’s indexed author record and associated publication records.

Research Impact

The supplied profile reports 4,058 citations and an h-index of 34. These measures indicate accumulated citation activity within the indexed research record, but bibliometric indicators should be interpreted alongside disciplinary norms, career duration, collaboration patterns, publication types, and database coverage. [1]

Award Suitability

The supplied profile identifies Mingxiong He as working in Omics Data Analysis and provides documented bibliometric indicators of 133 documents, 4,058 citations, and an h-index of 34. These details are relevant to an academic recognition profile associated with the Computational Biologists Awards, particularly where evaluation considers research activity, scholarly output, and documented research impact. [1]

Conclusion

Mingxiong He is presented in the supplied profile as a researcher associated with the Biogas Iinstitute of Ministry of Agriculture and Rural Affairs in China, with Omics Data Analysis identified as the subject area. The reported Scopus record contains 133 documents, 4,058 citations, and an h-index of 34. These indicators provide a quantitative overview of scholarly activity and citation accumulation. A fuller academic assessment would require review of individual publications, research methods, collaboration, datasets, and documented applications alongside the bibliometric record.

References

  1. Elsevier. (n.d.). Scopus author details: Mingxiong He, Author ID 18436995800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=18436995800
  2. ORCID. (n.d.). ORCID record: Mingxiong He, ORCID iD 0000-0002-9780-6865.
    https://orcid.org/0000-0002-9780-6865
  3. Journal article (2017. )  Acinetobacter larvae sp. nov., isolated from the larval gut of omphisa fuscidentalis.
    https://doi.org/10.1099/ijsem.0.001644
  4. Journal article (2017. ) Bio-ethanol production by Zymomonas mobilis using pretreated dairy manure as a carbon and nitrogen source.
    https://doi.org/10.1039/c6ra26288k
  5. Computational Biologists Awards. (2026. ) Computational Biologists Awards official website.
    https://computationalbiologists.com/

Sami Amir Ba-Ssalamah | Biological Image Analysis | Young Researcher Award

Published on by Computational Biologists

Young Researcher Award

Sami Amir Ba-Ssalamah
Affiliation Medical University of Vienna
Country Austria
Scopus ID 59174178800
Documents 6
Citations 36
h-index 6
Subject Area Biological Image Analysis
Event Computational Biologists Awards
ORCID 0009-0008-0168-2396

Sami Amir Ba-Ssalamah

Medical University of Vienna, Austria

Sami Amir Ba-Ssalamah is affiliated with the Medical University of Vienna, Austria, where his research activities contribute to the field of Biological Image Analysis. His scholarly work emphasizes computational approaches that support biomedical imaging, quantitative analysis, and data interpretation for biological investigations. Through peer-reviewed publications and measurable research impact, his academic profile reflects continuous engagement in interdisciplinary computational biology, making him a suitable candidate for recognition through the Young Researcher Award.[1]

Abstract

Sami Amir Ba-Ssalamah has established an emerging academic profile in Biological Image Analysis through research that combines computational methodologies with biomedical imaging applications. His publications demonstrate an interest in improving image interpretation, quantitative biological analysis, and data-driven decision making within interdisciplinary research environments. With documented scholarly output, citation performance, and active participation in scientific publishing, his work contributes to the advancement of computational biology and biomedical sciences. These achievements reflect consistent research development, collaborative engagement, and scientific potential that align with the objectives of recognizing promising early-career researchers through distinguished academic award programs.[1]

Keywords

Biological Image Analysis, Computational Biology, Biomedical Imaging, Image Processing, Quantitative Analysis, Medical Imaging, Scientific Computing, Research Analytics.

Introduction

Computational approaches have become increasingly important in biological research because they enable accurate interpretation of complex imaging datasets and facilitate reproducible scientific analysis. Researchers working in Biological Image Analysis contribute to improved diagnostic support, experimental validation, and quantitative assessment by integrating computational techniques with biological investigations. Sami Amir Ba-Ssalamah participates in this evolving research landscape through scholarly publications that reflect interdisciplinary collaboration and methodological development within biomedical sciences.[2]

Research Profile

The research profile of Sami Amir Ba-Ssalamah demonstrates sustained engagement with computational methods applied to biological and medical imaging. His publication record, supported by citation metrics indexed in Scopus, illustrates scholarly activity that contributes to understanding image-based biological information. Working within an internationally recognized academic institution further supports collaboration, scientific visibility, and participation in multidisciplinary biomedical research initiatives.[1]

Research Contributions

Research contributions associated with Sami Amir Ba-Ssalamah emphasize the application of computational techniques to biological image analysis, enabling improved visualization, quantitative measurement, and interpretation of biomedical information. His work supports scientific investigations that require accurate image processing and analytical workflows while encouraging interdisciplinary collaboration between computational scientists, clinicians, and biological researchers. These contributions strengthen evidence-based research and promote innovation in modern biomedical imaging.[3]

Publications

The available Scopus record indicates six indexed scholarly publications accompanied by thirty-six citations and an h-index of six. These publication metrics suggest consistent participation in peer-reviewed scientific communication while demonstrating that published research has received measurable academic recognition. Collectively, the publication portfolio represents meaningful contributions within Biological Image Analysis and related computational biomedical disciplines.[1]

Research Impact

The scholarly impact of Sami Amir Ba-Ssalamah is reflected through citation performance and continued visibility within indexed academic literature. Research addressing computational analysis of biological images supports reproducibility, improved interpretation of experimental observations, and technological advancement in biomedical sciences. Citation activity indicates that the published work contributes to ongoing scientific discussions and provides a foundation for future interdisciplinary investigations.[1]

Award Suitability

Considering his documented publication record, citation metrics, institutional affiliation, and research specialization, Sami Amir Ba-Ssalamah demonstrates characteristics commonly associated with emerging scientific excellence. His interdisciplinary research in Biological Image Analysis contributes to computational biology while supporting broader biomedical applications. These accomplishments indicate strong potential for continued scholarly development and align well with the objectives of the Computational Biologists Awards Young Researcher Award category.[2]

Conclusion

Sami Amir Ba-Ssalamah represents an emerging researcher whose work in Biological Image Analysis demonstrates scholarly productivity and measurable academic influence. His combination of computational expertise, interdisciplinary collaboration, and peer-reviewed research contributes to the advancement of biomedical science. The available academic indicators support recognition of his research achievements and reflect continued potential for meaningful contributions within computational biology and related scientific disciplines.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Sami Amir Ba-Ssalamah, Author ID 59174178800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59174178800
  2. ORCID. (n.d.). ORCID record of Sami Amir Ba-Ssalamah.
    https://orcid.org/0009-0008-0168-2396
  3. National Library of medicine. (2026.). Reply to Letter to the Editor: Correlation between MRI-derived and biopsy-confirmed liver iron concentration in patients with chronic liver disease.
    https://doi.org/10.1016/j.ejrad.2026.112775