Kagan Tumer

95 papers and 1.8k indexed citations i.

Kagan Tumer has authored 95 papers that have received a total of 1.8k indexed citations. This includes 62 papers in Artificial Intelligence, 23 papers in Management Science and Operations Research and 13 papers in Computer Networks and Communications. The topics of these papers are Reinforcement Learning in Robotics (41 papers), Auction Theory and Applications (14 papers) and Adaptation to Concept Drift in Data Streams (13 papers). Kagan Tumer is often cited by papers focused on Reinforcement Learning in Robotics (41 papers), Auction Theory and Applications (14 papers) and Adaptation to Concept Drift in Data Streams (13 papers) and collaborates with scholars based in United States, Switzerland and United Kingdom. Kagan Tumer's co-authors include Adrian Agogino, David H. Wolpert, Joydeep Ghosh, Jen Jen Chung and Atıl Işçen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, EPL (Europhysics Letters) and Information Fusion