Eugene Kagan
Impact in
-
- Optimization and Search Problems
- Distributed Control Multi-Agent Systems
Papers in
-
- Neural Networks and Applications 5
-
- Optimization and Search Problems 11
- Co-authors
- Irad Ben‐Gal (23 shared papers)Alexander Rybalov (12 shared papers)Ronald R. Yager (6 shared papers)Hava T. Siegelmann (2 shared papers)Alon Sela (1 shared paper)Eugene Khmelnitsky (2 shared papers)Ori Ossmy (1 shared paper)Parteek Kumar (2 shared papers)
- Journals
- ACM Transactions on Mathematical Software (2 papers)Robotics (2 papers)Knowledge-Based Systems (1 paper)Natural Computing (1 paper)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (1 paper)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Eugene Kagan
41 papers receiving 182 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 51
- General Decision Sciences 4
- Artificial Intelligence 69
- Computer Science Applications 9
- Management Science and Operations Research 20
Countries citing papers authored by Eugene Kagan
This map shows the geographic impact of Eugene Kagan'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 Eugene Kagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Kagan more than expected).
Fields of papers citing papers by Eugene Kagan
This network shows the impact of papers produced by Eugene Kagan. 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 Eugene Kagan. The network helps show where Eugene Kagan may publish in the future.
Co-authors
The 17 scholars most cited alongside Eugene Kagan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 21 | |
| 2 | 2013 | 12 | |
| 3 | 2010 | 11 | |
| 4 | 2013 | 10 | |
| 5 | 2019 | 10 | |
| 6 | 2006 | 8 | |
| 7 | 2012 | 7 | |
| 8 | 2010 | 7 | |
| 9 | Search and Foraging: Individual Motion and Swarm Dynamics | 2015 | 7 |
| 10 | 2020 | 6 | |
| 11 | Probabilistic Search for Tracking Targets: Theory and Modern Applications | 2013 | 6 |
| 12 | 2022 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2008 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Eugene Kagan
Eugene Kagan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 187 indexed citations. Recurring topics across this work include Optimization and Search Problems (11 papers), Advanced Algebra and Logic (5 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Neural Networks and Applications (5 papers), Robotic Path Planning Algorithms (4 papers), Opinion Dynamics and Social Influence (4 papers), Data Management and Algorithms (3 papers) and Diffusion and Search Dynamics (3 papers). The work is most often cited by research in Computer Networks and Communications (51 citations), General Decision Sciences (4 citations), Artificial Intelligence (69 citations), Computer Science Applications (9 citations) and Management Science and Operations Research (20 citations). Eugene Kagan has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Irad Ben‐Gal, Alexander Rybalov, Ronald R. Yager, Hava T. Siegelmann, Alon Sela, Eugene Khmelnitsky, Ori Ossmy, Parteek Kumar, Roy Mukamel and Silvi Frenkel‐Toledo. Their work appears in journals such as ACM Transactions on Mathematical Software, Robotics, Knowledge-Based Systems, Natural Computing and International Journal of Uncertainty Fuzziness and Knowledge-Based 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.