I. B. Gurevich

932 citations
82 papers · 588 indexed · h-index 14
Topics
Image Retrieval and Classification Techniques (17 papers)Cell Image Analysis Techniques (13 papers)Advanced Scientific Research Methods (12 papers)

In The Last Decade

I. B. Gurevich

73 papers receiving 570 citations

Peers

I. B. Gurevich
Comparison fields: 5 of 94
  • Molecular Biology 185
  • Computer Vision and Pattern Recognition 177
  • Immunology 87
  • Information Systems 74
  • Food Science 58
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David Steenhoff Belgium
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I. B. Gurevich relative to Zhenwei Shi China Zhenwei Shi's profile →
Citations per field
00.5×10.6×
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Citations per year

Countries citing papers authored by I. B. Gurevich

Since Specialization
Citations

This map shows the geographic impact of I. B. Gurevich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by I. B. Gurevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. B. Gurevich more than expected).

Fields of papers citing papers by I. B. Gurevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. B. Gurevich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by I. B. Gurevich. The network helps show where I. B. Gurevich may publish in the future.

Co-authorship network of co-authors of I. B. Gurevich

This figure shows the co-authorship network connecting the top 25 collaborators of I. B. Gurevich. A scholar is included among the top collaborators of I. B. Gurevich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with I. B. Gurevich. I. B. Gurevich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 3
7 15
8 55
9 3
10 22
11 8
12 18
13 55
14 6
15
An Image Algebra Accepting Image Models and Image Transforms.
5
16
SYSTEM FOR AUTOMATION OF SCIENTIFIC RESEARCH IN IMAGE ANALYSIS AND UNDERSTANDING: PART 1
1
17
ALGEBRAS OF IMAGES: RESEARCH AND APPLIED PROBLEMS
2
18
MATHEMATICAL MODELS RELATED TO AUTOMATION OF ENSURING SAFETY AT A SUBWAY PLATFORM
2
19
DESCRIPTIVE IMAGE ALGEBRAS: DETERMINATION OF THE BASE STRUCTURES
2
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BLACK SQUARE, VERSION 1.0: PROGRAM DEVELOPMENT SYSTEM FOR AUTOMATION OF SCIENTIFIC RESEARCH AND EDUCATION IN THE FIELD OF IMAGE PROCESSING, ANALYSIS, RECOGNITION, AND UNDERSTANDING
2

About I. B. Gurevich

I. B. Gurevich is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 82 papers that have together received 588 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (17 papers), Cell Image Analysis Techniques (13 papers) and Advanced Scientific Research Methods (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Biophysics (45 citations) and Media Technology (48 citations). I. B. Gurevich has collaborated with scholars based in Russia, United States and Belarus. Frequent co-authors include Brian J. Aneskievich, Carmen Zhang, Ovidio Salvetti, Yu. I. Zhuravlev, Nidhish Francis, Sara Colantonio, Makiko Ohshima, Deepika Rajesh, Swetha Rudraiah and Michael Goedken. Their work appears in journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Gene.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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