Kevin P. Murphy

47 total papers · 16.8k total citations
38 papers, 10.1k citations indexed

About

Kevin P. Murphy is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Kevin P. Murphy has authored 38 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Statistics and Probability. Recurrent topics in Kevin P. Murphy's work include Bayesian Modeling and Causal Inference (16 papers), Gaussian Processes and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (7 papers). Kevin P. Murphy is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Gaussian Processes and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (7 papers). Kevin P. Murphy collaborates with scholars based in Canada, United States and Ireland. Kevin P. Murphy's co-authors include Stuart Russell, Yair Weiss, Michael I. Jordan, Holger H. Hoos, Mark Schmidt, Mark A. Paskin, James M. Rehg, Mirela Andronescu, David H. Mathews and Anne Condon and has published in prestigious journals such as Bioinformatics, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kevin P. Murphy

38 papers receiving 9.5k citations

Hit Papers

Machine learning a probab... 2002 2026 2010 2018 2012 2002 2013 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin P. Murphy 3.9k 1.6k 1.0k 980 961 38 10.1k
Ben Calderhead 5.1k 1.3× 2.9k 1.8× 1.1k 1.0× 566 0.6× 592 0.6× 23 12.3k
Christopher Bishop 5.9k 1.5× 3.5k 2.1× 976 0.9× 1.9k 2.0× 1.3k 1.3× 17 15.6k
Meelis Kull 5.6k 1.4× 4.7k 2.9× 1.4k 1.4× 745 0.8× 611 0.6× 28 14.5k
Emanuel Parzen 3.7k 1.0× 1.6k 1.0× 561 0.5× 1.3k 1.3× 1.7k 1.8× 114 15.8k
James Bergstra 4.2k 1.1× 2.1k 1.3× 516 0.5× 901 0.9× 540 0.6× 25 10.1k
Neil D. Lawrence 3.8k 1.0× 1.8k 1.1× 1.2k 1.2× 662 0.7× 1.2k 1.3× 170 8.4k
Stuart Geman 5.9k 1.5× 5.6k 3.5× 812 0.8× 934 1.0× 582 0.6× 56 17.6k
Tin Kam Ho 4.5k 1.2× 2.4k 1.5× 894 0.9× 1.0k 1.1× 457 0.5× 78 11.1k
A. P. Dempster 4.1k 1.1× 898 0.6× 481 0.5× 833 0.8× 685 0.7× 67 10.9k
Arthur E. Hoerl 2.6k 0.7× 1.2k 0.7× 1.2k 1.1× 456 0.5× 1.2k 1.2× 21 15.2k

Countries citing papers authored by Kevin P. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin P. Murphy. 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 Kevin P. Murphy. The network helps show where Kevin P. Murphy may publish in the future.

Co-authorship network of co-authors of Kevin P. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin P. Murphy. A scholar is included among the top collaborators of Kevin P. Murphy 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 Kevin P. Murphy. Kevin P. Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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