Frank Wood

54 papers and 1.1k indexed citations i.

About

Frank Wood is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Frank Wood has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Frank Wood’s work include Bayesian Methods and Mixture Models (13 papers), Gaussian Processes and Bayesian Inference (12 papers) and Bayesian Modeling and Causal Inference (11 papers). Frank Wood is often cited by papers focused on Bayesian Methods and Mixture Models (13 papers), Gaussian Processes and Bayesian Inference (12 papers) and Bayesian Modeling and Causal Inference (11 papers). Frank Wood collaborates with scholars based in United Kingdom, United States and Canada. Frank Wood's co-authors include Michael J. Black, Jan-Willem van de Meent, Noémie Elhadad, Rimma Perotte, Yee Whye Teh, Vikash K. Mansinghka, John P. Donoghue, Matthew Fellows, Leonid Sigal and Raghav Goyal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Frank Wood i

Fields of papers citing papers by Frank Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frank Wood

Since Specialization
Citations

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