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
Alexander Minkin | Computer Science | Innovative Research Award

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