Amos Korman

2.7k citations
84 papers · 1.5k · h-index 21

Impact in

Papers in

Amos Korman

82 papers receiving 1.5k citations

Peers

Amos Korman
Comparison fields: 5 of 84
  • Computational Theory and Mathematics 891
  • Computer Networks and Communications 1.0k
  • Artificial Intelligence 377
  • Management Science and Operations Research 94
  • Ecology, Evolution, Behavior and Systematics 120
Replace Yuval Emek with:
Yuval Emek Israel
David Fernández‐Baca United States
Adrian Kosowski Poland
Christophe Paul France
Christian Komusiewicz Germany
Peter Markstein United States
Mitsuhiko Toda Japan
Marco Tomassini Switzerland
Steven Myers United States
Bruce J. MacLennan United States
Amos Korman relative to Yuval Emek Israel Yuval Emek's profile →
Citations per field
00.5×3.5×
Yuval Emek · 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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012124
2 2010101
3 2010100
4 201174
5 201771
6 200468
7 200863
8 201361
9 200746
10 202040
11 201633
12 200331
13 200529
14 201129
15 201028
16 201227
17 200927
18 201224
19 201021
20 200220

About Amos Korman

Amos Korman is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research and Molecular Biology, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (37 papers), Optimization and Search Problems (30 papers), Advanced Graph Theory Research (24 papers), Distributed systems and fault tolerance (20 papers), Cryptography and Data Security (9 papers), Auction Theory and Applications (7 papers), Algorithms and Data Compression (6 papers) and Interconnection Networks and Systems (6 papers). The work is most often cited by research in Computational Theory and Mathematics (891 citations), Computer Networks and Communications (1.0k citations), Artificial Intelligence (377 citations), Management Science and Operations Research (94 citations) and Ecology, Evolution, Behavior and Systematics (120 citations). Amos Korman has collaborated with scholars based in Israel, France and United States. Frequent co-authors include David Peleg, Shay Kutten, Ofer Feinerman, Pierre Fraigniaud, Pierre Fraigniaud, Yuval Emek, Adi Rosén, Yoav Rodeh, Atish Das Sarma and Gopal Pandurangan. Their work appears in journals such as Distributed Computing, ACM Transactions on Algorithms, Journal of the ACM, Theory of Computing Systems and Lecture notes in computer science.

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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