Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
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).
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-authorship network of co-authors of Kagan Tumer
This figure shows the co-authorship network connecting the top 25 collaborators of Kagan Tumer.
A scholar is included among the top collaborators of Kagan Tumer based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Kagan Tumer. Kagan Tumer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tumer, Kagan, et al.. (2014). Announced strategy types in multiagent RL for conflict-avoidance in the national airspace. NASA STI Repository (National Aeronautics and Space Administration).
11.
Tumer, Kagan, et al.. (2014). Multiagent Flight Control in Dynamic Environments with Cooperative Coevolutionary Algorithms. NASA STI Repository (National Aeronautics and Space Administration).3 indexed citations
Tumer, Kagan & Adrian Agogino. (2008). Adaptive management of air traffic flow: a multiagent coordination approach. National Conference on Artificial Intelligence. 1581–1584.5 indexed citations
16.
Agogino, Adrian & Kagan Tumer. (2006). QUICR-learning for multi-agent coordination. National Conference on Artificial Intelligence. 1438–1443.11 indexed citations
Tumer, Kagan & Peter Stone. (2002). Collaborative learning agents : papers from the 2002 AAAI Symposium, March 25-27, Stanford, California.1 indexed citations
19.
Wolpert, David H., Kevin Wheeler, & Kagan Tumer. (1998). Distributed Control with Collective Intelligence. Neural Information Processing Systems.2 indexed citations
20.
Tumer, Kagan, Nirmala Ramanujam, Rebecca Richards‐Kortum, & Joydeep Ghosh. (1996). Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. Neural Information Processing Systems. 981–987.5 indexed citations
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.