Innovative Research Award
Essam Houssein
Minia University
Essam Houssein is a researcher affiliated with Minia University in Egypt. His research profile is presented in the context of computational neuroscience, a field that applies computational methods and mathematical models to investigate neural systems and brain function. The Innovative Research Award recognizes research contributions that demonstrate originality, methodological development, and potential scientific value. This article summarizes the supplied researcher information, outlines the relevance of computational approaches to neuroscience, and describes the scholarly considerations associated with research recognition through the Computational Biologists Awards. Bibliometric figures should be checked against current source records.[1]
Abstract
This article presents the research profile of Essam Houssein, affiliated with Minia University, Egypt, and identifies computational neuroscience as the subject area associated with this recognition profile. The supplied Scopus metrics list 324 documents, 18,566 citations, and an h-index of 70. These indicators offer quantitative perspectives on publication activity and scholarly attention, although they do not independently establish research quality or originality. The Innovative Research Award provides a framework for recognizing contributions to scientific progress. Assessment of research innovation should consider methodological rigor, reproducibility, originality, practical relevance, and the significance of individual contributions within the broader research community..[3]
Keywords
Essam Houssein; Innovative Research Award; Computational Neuroscience; Minia University; Egypt; scientific innovation; bibliometrics; computational modeling; neural systems; research impact; scholarly communication; Computational Biologists Awards.[1]
Introduction
Computational neuroscience combines neuroscience with mathematical analysis, statistics, computer science, and computational modeling to investigate how nervous systems process information. Its methods can help researchers formulate hypotheses, analyze complex observations, and study mechanisms that are difficult to examine through experimental approaches alone. Computational research increasingly supports interdisciplinary collaboration across biological and quantitative sciences. Recognition in this area should reflect documented contributions, sound methodology, and scientific relevance. The supplied profile of Essam Houssein provides bibliometric context for an academic recognition article, while the researcher’s publications and source records remain the appropriate basis for evaluating specific scientific achievements.[1]
Research Profile
The information supplied for this profile identifies Essam Houssein with Minia University in Egypt and provides a Scopus Author ID of 43361385400. The associated bibliometric figures are 324 documents, 18,566 citations, and an h-index of 70. These numbers are reported as supplied and may change as indexing databases are updated. Institutional affiliation, author identity, publication attribution, and research subject classification should be confirmed against the corresponding authoritative records before this article is used for formal evaluation or institutional publication.[1]
Research Contributions
Research contributions in computational neuroscience may include the development of mathematical models, computational algorithms, statistical techniques, neural data-analysis pipelines, and reproducible methods for interpreting biological signals. Their scientific value depends on the clarity of the research question, the suitability of the methods, validation against appropriate evidence, and the extent to which results advance understanding. The supplied information does not identify individual publications or specific methods attributable to Essam Houssein. Accordingly, particular discoveries or technical innovations should not be assigned to the researcher without verification from relevant publications and institutional or bibliographic records.[2]
Publications
The supplied Scopus profile reports 324 documents associated with the researcher. A publication-level review is necessary to establish the titles, publication venues, authorship roles, research topics, and dates represented by this record. Publication counts can provide an overview of scholarly output, but they do not distinguish between article types, research significance, or individual contributions to collaborative work. A verified publication list should be retrieved from the author’s bibliographic profile and cross-checked against publisher records. No individual paper titles or DOI identifiers are asserted here because a verified publication list was not included in the supplied data. [1]
Research Impact
The supplied citation total of 18,566 and h-index of 70 describe aspects of the research profile’s indexed citation record. The h-index combines publication productivity with citation frequency by counting a set of papers that have each received at least the corresponding number of citations. Such indicators are influenced by disciplinary practices, publication age, collaboration patterns, database coverage, and citation behavior. They are best interpreted alongside qualitative assessment of originality, methodological reliability, research transparency, and contribution to scientific knowledge rather than used as standalone measures of research excellence.[3]
Award Suitability
The Innovative Research Award is intended, in this article’s recognition context, to highlight scientific work demonstrating originality, rigor, and potential value to a research field. The supplied publication and citation metrics offer quantitative background for reviewing Essam Houssein’s academic profile, but award suitability should be determined through evidence-based evaluation of actual research outputs. Relevant considerations include methodological innovation, documented research contributions, publication quality, and potential influence on future studies. The event’s formal eligibility requirements and judging criteria should be consulted before presenting this profile as confirmation of an award decision.[1]
Conclusion
The supplied profile identifies Essam Houssein as a researcher affiliated with Minia University in Egypt and reports a Scopus record of 324 documents, 18,566 citations, and an h-index of 70. Computational neuroscience offers an interdisciplinary setting in which computational methods contribute to the investigation of neural systems and biological information processing. These bibliometric indicators provide context rather than a complete assessment of scientific achievement. A robust academic recognition profile should combine verified researcher identity, publication-level evidence, documented contributions, and transparent evaluation criteria. Current source records should be consulted before the information is used in formal award materials..[3]
External Links
References
- Elsevier. (n.d.). Scopus author details: Essam Houssein, Author ID 43361385400. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=43361385400
- Journal article. (2025). Integrated deep learning-based IRACE and convolutional neural networks for chest X-ray image classification.
https://doi.org/10.1016/j.knosys.2025.114293
- Journal article. (2025). Computer-aided diagnosis system for predicting liver cancer disease using modified Genghis Khan Shark Optimizer algorithm.
https://doi.org/10.1016/j.eswa.2025.128017
- Computational Biologists Awards. (2026. ) Computational Biologists Awards.
https://computationalbiologists.com/
- ORCID. (n.d.). Essam Houssein: ORCID researcher identifier.
https://orcid.org/0000-0002-8127-7233