Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
- Journal
- Adaptive Agents and Multi-Agents Systems
In The Last Decade
doi.org/w9486658 →Countries where authors are citing Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
This map shows the geographic impact of Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. 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 Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems more than expected).
Fields of papers citing Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
This network shows the impact of Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems.
About Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems
This paper, published in 2019, received 274 indexed citations . Written by Jen Jen Chung, Damjan Miklić, Lorenzo Sabattini, Kagan Tumer and Roland Siegwart. It is primarily cited by scholars working on Artificial Intelligence (149 citations), Management Science and Operations Research (43 citations) and Computer Vision and Pattern Recognition (31 citations). Published in Adaptive Agents and Multi-Agents 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.
This paper is also available at doi.org/w9486658.