Efim Kinber

951 citations
89 papers · 747 · h-index 16

Impact in

    • Computability, Logic, AI Algorithms
    • semigroups and automata theory
    • Machine Learning and Algorithms
    • Algorithms and Data Compression
    • Machine Learning and Data Classification
    • Domain Adaptation and Few-Shot Learning
    • Natural Language Processing Techniques

Papers in

Efim Kinber

80 papers receiving 713 citations

Peers

Efim Kinber
Comparison fields: 5 of 33
  • Computational Theory and Mathematics 623
  • Artificial Intelligence 709
  • Computer Networks and Communications 85
  • Software 8
  • Computer Science Applications 8
Replace Rolf Wiehagen with:
Rolf Wiehagen Germany
Michael Frazier United States
Juan Luis Esteban Spain
Kosaburo Hashiguchi Japan
Yuliya Lierler United States
Hans de Nivelle Germany
Agi Kurucz United Kingdom
Wilmer Ricciotti Italy
Michael Kharitonov United States
Daniel F. Carson United States
Efim Kinber relative to Rolf Wiehagen Germany Rolf Wiehagen's profile →
Citations per field
00.5×2×3×4×
Rolf Wiehagen · 1×
Citations per year

Countries citing papers authored by Efim Kinber

Since Specialization
Citations

This map shows the geographic impact of Efim Kinber'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 Efim Kinber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efim Kinber more than expected).

Fields of papers citing papers by Efim Kinber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Efim Kinber. 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 Efim Kinber. The network helps show where Efim Kinber may publish in the future.

Co-authors

The 24 scholars most cited alongside Efim Kinber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Efim Kinber Line = papers co-authored together Efim Kinber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198348
2 199544
3 199444
4 199441
5 199336
6 199533
7 199529
8 198223
9 198921
10 199718
11 198318
12 198518
13 198516
14 199116
15 200115
16 197715
17 201015
18 198814
19 199413
20 199512

About Efim Kinber

Efim Kinber is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Management Science and Operations Research, having authored 89 papers that have together received 747 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (75 papers), Computability, Logic, AI Algorithms (48 papers), Algorithms and Data Compression (44 papers), semigroups and automata theory (34 papers), Optimization and Search Problems (9 papers), Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Data Classification (4 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (623 citations), Artificial Intelligence (709 citations), Computer Networks and Communications (85 citations), Software (8 citations) and Computer Science Applications (8 citations). Efim Kinber has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Rūsiņš Freivalds, Rolf Wiehagen, Sanjay Jain, Carl H. Smith, Frank Stephan, Thomas Zeugmann, Martin Kummer, Kai Salomaa, Tao Jiang and Sheng Yü. Their work appears in journals such as Information and Computation, Theoretical Computer Science, Journal of Computer and System Sciences, Lecture notes in computer science and Journal of the ACM.

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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