Jae C. Oh

419 citations
71 papers · 303 · h-index 9

Impact in

Papers in

Jae C. Oh

67 papers receiving 291 citations

Peers

Jae C. Oh
Comparison fields: 5 of 57
  • Statistical and Nonlinear Physics 64
  • Hardware and Architecture 36
  • Computer Networks and Communications 117
  • Management Science and Operations Research 53
  • Artificial Intelligence 94
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Citations per field
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Citations per year

Countries citing papers authored by Jae C. Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jae C. Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae C. Oh. 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 Jae C. Oh. The network helps show where Jae C. Oh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200730
2 201225
3 201317
4 199414
5 200413
6 201512
7 201710
8 20099
9
Promoting Cooperation using "Kin" Biased Conditional Strategy in the Iterated Prisoner's Dilemma Game
20008
10 20118
11 20147
12 20017
13
GameMosix: Game-Theoretic Middleware for CPU Sharing in Untrusted P2P Environment.
20046
14 20156
15 20146
16 20026
17 20056
18
Effects of physical body on biased opponent selection in the Iterated Prisoner's Dilemma game
19995
19 20055
20 20165

About Jae C. Oh

Jae C. Oh is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics and Information Systems, having authored 71 papers that have together received 303 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (12 papers), Game Theory and Applications (9 papers), Evolutionary Algorithms and Applications (9 papers), Distributed and Parallel Computing Systems (9 papers), Optimization and Search Problems (8 papers), Peer-to-Peer Network Technologies (8 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (64 citations), Hardware and Architecture (36 citations), Computer Networks and Communications (117 citations), Management Science and Operations Research (53 citations) and Artificial Intelligence (94 citations). Jae C. Oh has collaborated with scholars based in United States, Russia and South Korea. Frequent co-authors include Daniel Mossé, Alexandre Ferreira, Alastair D. McAulay, K. Mehrotra, Kishan G. Mehrotra, Jooyoung Lee, Jooyoung Lee, M. Haney, Shwetha K. Shetty and Wenliang Du. Their work appears in journals such as Lecture notes in computer science, Artificial Intelligence Review, Knowledge and Information Systems, Experimental & Molecular Medicine and Information Sciences.

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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