Brian Ichter

21 papers and 714 indexed citations i.

About

Brian Ichter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Brian Ichter has authored 21 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Brian Ichter’s work include Robotic Path Planning Algorithms (10 papers), Robot Manipulation and Learning (9 papers) and Multimodal Machine Learning Applications (5 papers). Brian Ichter is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Robot Manipulation and Learning (9 papers) and Multimodal Machine Learning Applications (5 papers). Brian Ichter collaborates with scholars based in United States, United Kingdom and China. Brian Ichter's co-authors include Marco Pavone, J. Michael Harrison, Fei Xia, Adam Steele, Patrick Moriarty, Eric Loth, Lucas Janson, Michael S. Selig, Karol Hausman and Edward Schmerling and has published in prestigious journals such as The International Journal of Robotics Research, Wind Energy and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Brian Ichter i

Fields of papers citing papers by Brian Ichter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Ichter. 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 Brian Ichter. The network helps show where Brian Ichter may publish in the future.

Countries citing papers authored by Brian Ichter

Since Specialization
Citations

This map shows the geographic impact of Brian Ichter'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 Brian Ichter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Ichter 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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2025