John Winn

35 papers and 14.4k indexed citations i.

About

John Winn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, John Winn has authored 35 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Genetics. Recurrent topics in John Winn’s work include Advanced Image and Video Retrieval Techniques (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). John Winn is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). John Winn collaborates with scholars based in United Kingdom, United States and Germany. John Winn's co-authors include Christopher K. I. Williams, Luc Van Gool, Andrew Zisserman, Mark Everingham, S. M. Ali Eslami, Chris Bishop, Oliver Stegle, Richard Durbin, Leopold Parts and Antonio Criminisi and has published in prestigious journals such as Bioinformatics, American Journal of Respiratory and Critical Care Medicine and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of John Winn

This figure shows the co-authorship network connecting the top 25 collaborators of John Winn. A scholar is included among the top collaborators of John Winn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Winn. John Winn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by John Winn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Winn

Since Specialization
Citations

This map shows the geographic impact of John Winn'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 John Winn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Winn 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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2026