Journal of Field Robotics

1.3k papers and 34.8k indexed citations
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About

The 1.3k papers published in Journal of Field Robotics in the last decades have received a total of 34.8k indexed citations. Papers published in Journal of Field Robotics usually cover Aerospace Engineering (633 papers), Computer Vision and Pattern Recognition (544 papers) and Mechanical Engineering (244 papers) specifically the topics of Robotics and Sensor-Based Localization (521 papers), Robotic Path Planning Algorithms (382 papers) and Underwater Vehicles and Communication Systems (210 papers). The most active scholars publishing in Journal of Field Robotics are Farid Kendoul, James Underwood, Larry Matthies, Roland Siegwart, Sorin Grigorescu, Bogdan Trăsnea, Tiberiu Cocias, Gigel Măceșanu, Dave Ferguson and Mathieu Labbé.

In The Last Decade

Journal of Field Robotics

1.1k papers receiving 32.8k citations

Fields of papers published in Journal of Field Robotics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Field Robotics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Field Robotics.

Countries where authors publish in Journal of Field Robotics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Field Robotics. 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 papers published in Journal of Field Robotics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Field Robotics more than expected).

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.

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