Kagan Tumer

1.6k citations
45 papers · 877 · h-index 17

Impact in

Papers in

Kagan Tumer

41 papers receiving 832 citations

Peers

Kagan Tumer
Comparison fields: 5 of 90
  • Artificial Intelligence 473
  • Management Science and Operations Research 135
  • Computer Networks and Communications 183
  • Computer Vision and Pattern Recognition 140
  • Control and Systems Engineering 123
Replace Alberto Bugarín with:
Alberto Bugarín Spain
Frans A. Oliehoek Netherlands
Nantas Nardelli United Kingdom
Gregory Farquhar United Kingdom
Yves Demazeau France
Alan N. Steinberg United States
Eric T. Matson United States
Marie-Pierre Gleizes France
Martín Molina Spain
Werner Van Leekwijck Belgium
Kagan Tumer relative to Alberto Bugarín Spain Alberto Bugarín's profile →
Citations per field
00.5×1.7×
Alberto Bugarín · 1×
Citations per year

Countries citing papers authored by Kagan Tumer

Since Specialization
Citations

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

Fields of papers citing papers by Kagan Tumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Kagan Tumer, 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 Kagan Tumer Line = papers co-authored together Kagan Tumer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996210
2 200879
3 200254
4 200246
5 201443
6 200934
7 201134
8 201232
9 201030
10 200530
11 201229
12 201728
13 200825
14 201821
15 201021
16 201619
17 201216
18 201116
19 201511
20 200611

About Kagan Tumer

Kagan Tumer is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Control and Systems Engineering and Mechanical Engineering, having authored 45 papers that have together received 877 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (17 papers), Distributed Control Multi-Agent Systems (7 papers), Modular Robots and Swarm Intelligence (6 papers), Data Stream Mining Techniques (6 papers), Multi-Agent Systems and Negotiation (6 papers), Evolutionary Game Theory and Cooperation (5 papers), Optimization and Search Problems (4 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Artificial Intelligence (473 citations), Management Science and Operations Research (135 citations), Computer Networks and Communications (183 citations), Computer Vision and Pattern Recognition (140 citations) and Control and Systems Engineering (123 citations). Kagan Tumer has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Adrian Agogino, Joydeep Ghosh, David H. Wolpert, Bechir Hamdaoui, Irem Y. Tumer, Sam Devlin, Christopher Hoyle, Daniel Kudenko⋆, Jen Jen Chung and Gaurav Dixit. Their work appears in journals such as Advances in Complex Systems, Autonomous Agents and Multi-Agent Systems, Robotics and Autonomous Systems, IEEE Transactions on Mobile Computing and International Journal of General 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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