Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

995 indexed citations

Abstract

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This paper, published in 2005, received 995 indexed citations. Written by Sebastian Thrun, Wolfram Burgard and Dieter Fox covering the research area of . It is primarily cited by scholars working on Aerospace Engineering (581 citations), Computer Vision and Pattern Recognition (455 citations) and Artificial Intelligence (276 citations). Published in The MIT Press eBooks.

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Countries where authors are citing Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

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Citations

This map shows the geographic impact of Probabilistic Robotics (Intelligent Robotics and Autonomous Agents). 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 Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) more than expected).

Fields of papers citing Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Probabilistic Robotics (Intelligent Robotics and Autonomous Agents). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Probabilistic Robotics (Intelligent Robotics and Autonomous Agents).

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/w6111587.

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