Hezam Gawbah | Computer Science | Innovative Research Award

Innovative Research Award

Hezam Gawbah — Ibb University, Yemen

Hezam Gawbah
Affiliation Ibb University
Country Yemen
Scopus ID 58070568000
Documents 5
Citations 15
h-index 2
Subject Area Computer Science
Event International Research Excellence Awards – Book of Award
ORCID ID 0000-0002-5775-364X

Hezam Gawbah is a researcher affiliated with Ibb University in Yemen whose scholarly profile is associated with the field of Computer Science. Available bibliographic information records five documents, 15 citations, and an h-index of 2 in the supplied Scopus profile data. [1] The profile is additionally associated with an ORCID identifier, providing a persistent researcher identifier for distinguishing scholarly contributions. [2]

Abstract

This article presents an academic recognition profile for Hezam Gawbah, an Ibb University researcher working within Computer Science. The profile summarizes the supplied bibliometric indicators and researcher identifiers and considers the relevance of the Innovative Research Award within the context of scholarly research and technological development. Computer Science encompasses areas such as algorithms, software systems, artificial intelligence, data processing, computing architectures, and emerging digital technologies. Contemporary research in these areas increasingly combines computational methods with interdisciplinary applications and measurable scholarly outputs. [3]

Keywords

Computer Science, Research Innovation, Academic Research, Ibb University, Bibliometric Impact, Digital Technologies

Introduction

Computer Science is a rapidly developing academic discipline that provides theoretical foundations and practical techniques for computation, information processing, intelligent systems, and software development. Advances in machine learning and related computational methods have expanded the role of computer-based approaches across scientific and technological research. [3]

Research Profile

The supplied Scopus information identifies Hezam Gawbah under Scopus Author ID 58070568000, with five indexed documents, 15 citations, and an h-index of 2. These indicators should be interpreted as bibliometric measures rather than as comprehensive measures of research quality. Citation counts and h-index values can vary according to database coverage, publication age, disciplinary citation practices, and indexing differences. The profile also provides an ORCID identifier, 0000-0002-5775-364X, which can help connect scholarly outputs to a persistent researcher identity. [2]

Research Contributions

At a broader disciplinary level, innovative Computer Science research can contribute to improved computational methods, intelligent software, data-driven decision-making, automation, cybersecurity, and emerging digital infrastructures. Research in artificial intelligence, for example, has demonstrated how computational learning methods can address complex problems across multiple scientific domains. [3]

Publications

The supplied Scopus record reports five documents associated with the researcher profile. Because complete bibliographic details and individual DOI records were not provided, specific publication titles are not reproduced here. Readers seeking the current indexed publication record should consult the linked Scopus and Google Scholar profiles. [1]

Research Impact

The supplied bibliometric data records 15 citations and an h-index of 2. These figures indicate that the indexed publications have received measurable scholarly attention. Bibliometric indicators are most appropriately considered alongside publication quality, originality, methodological contribution, collaboration, practical relevance, and influence within the research community. [1]

Award Suitability

The Innovative Research Award recognizes research activity within the broader context of scholarly innovation. Based on the supplied information, Hezam Gawbah has an identifiable Computer Science research profile, five indexed documents, 15 citations, and an h-index of 2. These characteristics provide a bibliographic basis for presenting the researcher for academic recognition, while the ultimate assessment of award suitability should consider the originality, significance, rigor, and documented contribution of the underlying research. [1]

Conclusion

Hezam Gawbah’s academic recognition profile connects Ibb University in Yemen with the field of Computer Science and records five documents, 15 citations, and an h-index of 2 in the supplied Scopus information. The availability of ORCID and Google Scholar profiles provides additional mechanisms for identifying and reviewing scholarly activity. [2] [4]

References

  1. Elsevier. (2026). Scopus author details: Hezam Gawbah, Author ID 58070568000. Scopus.
    https://www.scopus.com/pages/authors/58070568000
  2. ORCID. (2026). ORCID record: Hezam Gawbah, ORCID iD 0000-0002-5775-364X.
    https://orcid.org/0000-0002-5775-364X
  3. Explainable deep learning for multi-country energy forecasting and sustainability analysis using climate and socio-economic indicators.
    https://doi.org/10.1038/s41598-026-62451-0
  4. Google Scholar. (2026). Google Scholar profile associated with the supplied researcher record.
    https://scholar.google.co.uk/citations?user=3q9J9gMAAAAJ&hl=en&oi=sra
  5. Book of Award. (2026). International Research Excellence Awards – Book of Award.
    https://bookofaward.com/

Alexander Minkin | Computer Science | Innovative Research Award

Innovative Research Award

Alexander Minkin — Keldysh Institute of Applied Mathematics
Alexander Minkin
Affiliation Keldysh Institute of Applied Mathematics
Country Russia
Scopus ID 55828950500
Documents 19
Citations 153
h-index 5
Subject Area Computer Science
Event International Research Excellence Awards – Book of Award
ORCID 0000-0001-8789-0779

Alexander Minkin is a researcher affiliated with the Keldysh Institute of Applied Mathematics in Russia whose scholarly record is associated with computer science and computational research. The profile supplied for this recognition article records 19 documents, 153 citations, and an h-index of 5 in Scopus. [1] Publicly available researcher information also identifies Alexander S. Minkin with the Keldysh Institute of Applied Mathematics and describes research interests including machine learning, computer vision, decision trees, and feature selection. [2]

Abstract

This article presents a scholarly recognition profile of Alexander Minkin, a researcher associated with the Keldysh Institute of Applied Mathematics, Russia. According to the supplied Scopus profile information, his indexed research record comprises 19 documents, 153 citations, and an h-index of 5. [1] Public researcher information places his work within computer science and identifies areas including machine learning, computer vision, decision trees, and feature selection. [2]

Keywords

Alexander Minkin, Computer Science, Machine Learning, Computer Vision, Feature Selection, Decision Trees, Computational Research, Applied Mathematics, Keldysh Institute of Applied Mathematics, Research Impact, Scopus, Scholarly Communication.

Introduction

Research in computer science increasingly depends on methods capable of extracting meaningful information from large, complex, and heterogeneous datasets. Machine learning, computer vision, feature-selection techniques, and decision-tree methodologies are among the approaches used to develop computational models and support systematic decision-making. [2]

Research Profile

Alexander Minkin’s research profile is positioned at the intersection of computer science and computational methodology. Available researcher information identifies expertise in machine learning, computer vision, decision trees, and feature selection. [2]

Research Contributions

The available information supports several broad areas in which Minkin’s research profile can be considered. First, his association with machine learning reflects engagement with computational methods for learning patterns from data. Second, his identified expertise in feature selection relates to the methodological problem of determining which variables provide useful information for computational models. [2]

Publications

The supplied Scopus record reports 19 indexed documents associated with the researcher and 153 citations, with an h-index of 5. [1] These bibliometric indicators provide a quantitative description of the indexed scholarly record but should be interpreted in the context of disciplinary norms, publication chronology, collaboration patterns, and database coverage. [2]

Research Impact

The reported citation count of 153 and h-index of 5 indicate that the research record has received measurable scholarly attention within the indexed literature. Citation indicators are useful for describing research visibility, although they do not independently measure the quality, originality, societal value, or practical usefulness of individual contributions.[1]

Award Suitability

Based on the supplied bibliometric information and publicly identifiable research areas, Alexander Minkin’s profile is relevant to an award category emphasizing innovative research in computer science. The combination of documented scholarly output, citation activity, and an identified research focus on machine learning, computer vision, decision trees, and feature selection provides a reasonable academic basis for consideration. [1] [2]

Conclusion

Alexander Minkin’s research profile reflects a sustained engagement with computer science and computational methodologies, particularly machine learning, computer vision, decision trees, and feature selection. Publicly available information connects him with the Keldysh Institute of Applied Mathematics and identifies methodological work concerning the importance of highly correlated features. [2]

References

  1. Elsevier. (2026). Scopus author details: Alexander Minkin, Author ID 55828950500. Scopus.
    https://www.scopus.com/pages/authors/55828950500
  2. OpenReview. (2026). Alexander S. Minkin — Researcher, NLBDIS, Keldysh Institute of Applied Mathematics. Research profile and publicly listed research information.
    https://openreview.net/profile?id=~Alexander_S._Minkin1
  3. Restriction of macroscopic structural superlubricity due to structure relaxation by the example of twisted graphene bilayer
    https://doi.org/10.1103/physrevmaterials.9.024002
  4. ORCID. (2026). Alexander Minkin — ORCID record 0000-0001-8789-0779.
    https://orcid.org/0000-0001-8789-0779