Geoffrey J. Gordon

About

Geoffrey J. Gordon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Geoffrey J. Gordon has authored 96 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 20 papers in Management Science and Operations Research and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Geoffrey J. Gordon’s work include Bayesian Modeling and Causal Inference (16 papers), Reinforcement Learning in Robotics (15 papers) and Machine Learning and Algorithms (14 papers). Geoffrey J. Gordon is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Reinforcement Learning in Robotics (15 papers) and Machine Learning and Algorithms (14 papers). Geoffrey J. Gordon collaborates with scholars based in United States, United Kingdom and Portugal. Geoffrey J. Gordon's co-authors include Ajit Singh, Sebastian Thrun, Maxim Likhachev, Byron Boots, Sajid M. Siddiqi, Han Zhao, Christopher R. Collins, David Yaron, Nicholas Roy and H. Brendan McMahan and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Psychosomatic Medicine.

In The Last Decade

Co-authorship network of co-authors of Geoffrey J. Gordon i

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Fields of papers citing papers by Geoffrey J. Gordon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey J. Gordon. 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 Geoffrey J. Gordon. The network helps show where Geoffrey J. Gordon may publish in the future.

Countries citing papers authored by Geoffrey J. Gordon

Since Specialization

Citations

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