Kagan Tumer
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Machine Learning and Data Classification
- Data Stream Mining Techniques
- Metaheuristic Optimization Algorithms Research
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- Auction Theory and Applications
Papers in
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- Reinforcement Learning in Robotics 51
- Data Stream Mining Techniques 15
- Evolutionary Algorithms and Applications 14
- Neural Networks and Applications 13
- Multi-Agent Systems and Negotiation 11
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- Auction Theory and Applications 16
- Game Theory and Applications 11
- Co-authors
- Joydeep Ghosh (12 shared papers)Adrian Agogino (37 shared papers)David H. Wolpert (14 shared papers)Nikunj C. Oza (4 shared papers)Jen Jen Chung (9 shared papers)Damjan Miklić (3 shared papers)Roland Siegwart (3 shared papers)Lorenzo Sabattini (3 shared papers)
- Journals
- Autonomous Agents and Multi-Agent Systems (5 papers)Advances in Complex Systems (3 papers)Information Fusion (2 papers)Pattern Analysis and Applications (2 papers)Connection Science (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kagan Tumer
113 papers receiving 2.4k citations
Kagan Tumer's Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 1.4k
- Management Science and Operations Research 379
- Computer Vision and Pattern Recognition 365
- Computer Networks and Communications 376
- Control and Systems Engineering 285
Countries citing papers authored by Kagan Tumer
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
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 25 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.
All Works
Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 371 | |
| 2 | Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems Hit paper breakdown → | 2019 | 274 |
| 3 | 2007 | 216 | |
| 4 | 2007 | 127 | |
| 5 | 2001 | 121 | |
| 6 | 1998 | 74 | |
| 7 | 2010 | 66 | |
| 8 | 2000 | 61 | |
| 9 | Collective Intelligence and Braess' Paradox | 2000 | 58 |
| 10 | The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 | 2011 | 50 |
| 11 | 1999 | 50 | |
| 12 | 2003 | 48 | |
| 13 | 2008 | 48 | |
| 14 | 1999 | 47 | |
| 15 | 2017 | 46 | |
| 16 | 2004 | 44 | |
| 17 | 2008 | 40 | |
| 18 | 1996 | 39 | |
| 19 | 2018 | 39 | |
| 20 | 1995 | 34 |
About Kagan Tumer
Kagan Tumer is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 126 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (51 papers), Auction Theory and Applications (16 papers), Data Stream Mining Techniques (15 papers), Evolutionary Algorithms and Applications (14 papers), Neural Networks and Applications (13 papers), Air Traffic Management and Optimization (12 papers), Game Theory and Applications (11 papers) and Multi-Agent Systems and Negotiation (11 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Management Science and Operations Research (379 citations), Computer Vision and Pattern Recognition (365 citations), Computer Networks and Communications (376 citations) and Control and Systems Engineering (285 citations). Kagan Tumer has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Joydeep Ghosh, Adrian Agogino, David H. Wolpert, Nikunj C. Oza, Jen Jen Chung, Damjan Miklić, Roland Siegwart, Lorenzo Sabattini, Kevin Wheeler and Rebecca Richards‐Kortum. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Advances in Complex Systems, Information Fusion, Pattern Analysis and Applications and Connection 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.