Amos Korman

2.8k citations
100 papers · 2k · h-index 25

Impact in

Papers in

Amos Korman

97 papers receiving 2k citations

Peers

Amos Korman
Comparison fields: 5 of 67
  • Computational Theory and Mathematics 1.1k
  • Computer Networks and Communications 858
  • Statistical and Nonlinear Physics 90
  • Artificial Intelligence 210
  • Genetics 82
Replace Yukio‐Pegio Gunji with:
Yukio‐Pegio Gunji Japan
Erik Rauch United States
Chris Tofts United Kingdom
Jens Ziegler Germany
Merav Parter Israel
Iztok Lebar Bajec Slovenia
N. R. Franks United Kingdom
Jerzy W. Jaromczyk United States
Luca Scardovi Canada
Yukio-Pegio Gunji Japan
Amos Korman relative to Yukio‐Pegio Gunji Japan Yukio‐Pegio Gunji's profile →
Citations per field
00.5×2×4×6×8.3×
Yukio‐Pegio Gunji · 1×
Citations per year

Countries citing papers authored by Amos Korman

Since Specialization
Citations

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

Fields of papers citing papers by Amos Korman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amos Korman, 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 Amos Korman Line = papers co-authored together Amos Korman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012162
2 2010128
3 2010114
4 201189
5 200484
6 200874
7 201772
8 201370
9 201265
10 200759
11 202044
12 201143
13 201037
14 200335
15 201135
16 201635
17 200532
18 201230
19 200729
20 201227

About Amos Korman

Amos Korman is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence and Genetics, having authored 100 papers that have together received 2k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (51 papers), Optimization and Search Problems (20 papers), Distributed systems and fault tolerance (19 papers), Algorithms and Data Compression (10 papers), Distributed Control Multi-Agent Systems (9 papers), Insect and Arachnid Ecology and Behavior (5 papers), Graph Labeling and Dimension Problems (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Computer Networks and Communications (858 citations), Statistical and Nonlinear Physics (90 citations), Artificial Intelligence (210 citations) and Genetics (82 citations). Amos Korman has collaborated with scholars based in Israel, France and United States. Frequent co-authors include David Peleg, Pierre Fraigniaud, Shay Kutten, Ofer Feinerman, Yuval Emek, Yoav Rodeh, Adi Rosén, Jean‐Sébastien Sereni, Gopal Pandurangan and Stephan Holzer. Their work appears in journals such as Distributed Computing, ACM Transactions on Algorithms, Journal of the ACM, Theoretical Computer Science and Theory of Computing Systems.

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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