John Paisley

92 papers and 4.9k indexed citations i.

About

John Paisley is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, John Paisley has authored 92 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 16 papers in Computational Mechanics. Recurrent topics in John Paisley’s work include Bayesian Methods and Mixture Models (22 papers), Sparse and Compressive Sensing Techniques (16 papers) and Statistical Methods and Inference (13 papers). John Paisley is often cited by papers focused on Bayesian Methods and Mixture Models (22 papers), Sparse and Compressive Sensing Techniques (16 papers) and Statistical Methods and Inference (13 papers). John Paisley collaborates with scholars based in United States, China and Australia. John Paisley's co-authors include Xinghao Ding, Xueyang Fu, David M. Blei, Yue Huang, Yinghao Liao, Chong Wang, Matthew D. Hoffman, Lawrence Carin, Jia‐Bin Huang and Chong Wang and has published in prestigious journals such as JAMA, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of John Paisley i

Fields of papers citing papers by John Paisley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Paisley

Since Specialization
Citations

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