The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
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doi.org/w4025945 →Countries where authors are citing The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
This map shows the geographic impact of The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor 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 The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems more than expected).
Fields of papers citing The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
This network shows the impact of The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems.
About The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
This paper, published in 2003, received 980 indexed citations . Written by Brian Gerkey, Richard Vaughan and Andrew Howard covering the research area of Mechanical Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (411 citations), Mechanical Engineering (300 citations), Computer Networks and Communications (298 citations), Control and Systems Engineering (290 citations) and Artificial Intelligence (255 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.
This paper is also available at doi.org/w4025945.