Kagan Tumer
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Data Stream Mining Techniques
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- Auction Theory and Applications
Papers in
-
- Reinforcement Learning in Robotics 56
- Evolutionary Algorithms and Applications 16
- Neural Networks and Applications 15
- Data Stream Mining Techniques 15
- Multi-Agent Systems and Negotiation 12
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- Auction Theory and Applications 18
- Game Theory and Applications 12
- Co-authors
- Joydeep Ghosh (12 shared papers)Adrian Agogino (40 shared papers)David H. Wolpert (15 shared papers)Nikunj C. Oza (6 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)Evolutionary Computation (2 papers)Connection Science (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Kagan Tumer
125 papers receiving 3.0k citations
Kagan Tumer's Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 1.9k
- Management Science and Operations Research 467
- Computer Vision and Pattern Recognition 505
- Computer Networks and Communications 455
- Control and Systems Engineering 362
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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 489 | |
| 2 | Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems Hit paper breakdown → | 2019 | 293 |
| 3 | 2007 | 249 | |
| 4 | 2001 | 150 | |
| 5 | 2007 | 146 | |
| 6 | 1998 | 82 | |
| 7 | Collective Intelligence and Braess' Paradox | 2000 | 80 |
| 8 | 2010 | 78 | |
| 9 | 2001 | 72 | |
| 10 | 2000 | 70 | |
| 11 | 2003 | 65 | |
| 12 | 1999 | 63 | |
| 13 | 1999 | 61 | |
| 14 | 2008 | 59 | |
| 15 | 2004 | 55 | |
| 16 | The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 | 2011 | 53 |
| 17 | 2017 | 49 | |
| 18 | 2004 | 47 | |
| 19 | 2008 | 45 | |
| 20 | 1996 | 44 |
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 Control and Systems Engineering, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (56 papers), Auction Theory and Applications (18 papers), Evolutionary Algorithms and Applications (16 papers), Neural Networks and Applications (15 papers), Data Stream Mining Techniques (15 papers), Game Theory and Applications (12 papers), Multi-Agent Systems and Negotiation (12 papers) and Air Traffic Management and Optimization (12 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Management Science and Operations Research (467 citations), Computer Vision and Pattern Recognition (505 citations), Computer Networks and Communications (455 citations) and Control and Systems Engineering (362 citations). Kagan Tumer has collaborated with scholars based in United States, Switzerland and United Kingdom. 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 Nirmala Ramanujam. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Advances in Complex Systems, Information Fusion, Evolutionary Computation 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.