Brian Williams

131 papers and 2.4k indexed citations i.

About

Brian Williams is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Brian Williams has authored 131 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 29 papers in Computer Networks and Communications. Recurrent topics in Brian Williams’s work include AI-based Problem Solving and Planning (40 papers), Robotic Path Planning Algorithms (31 papers) and Distributed Constraint Optimization Problems and Algorithms (21 papers). Brian Williams is often cited by papers focused on AI-based Problem Solving and Planning (40 papers), Robotic Path Planning Algorithms (31 papers) and Distributed Constraint Optimization Problems and Algorithms (21 papers). Brian Williams collaborates with scholars based in United States, Brazil and United Kingdom. Brian Williams's co-authors include Lars Blackmore, Masahiro Ono, Christopher R. Plouffe, Michael Hofbaur, Xin Huang, Ashkan Jasour, Nicholas Roy, Cláudio Fabiano Motta Toledo, Hui Li and Márcio da Silva Arantes and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Soil Biology and Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Brian Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brian Williams

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025