Kevin P. Murphy

16.8k total citations · 3 hit papers
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), Bayesian Methods and Mixture Models (7 papers) and Machine Learning and Algorithms (7 papers). Kevin P. Murphy is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Bayesian Methods and Mixture Models (7 papers) and Machine Learning and Algorithms (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, David H. Mathews, Mirela Andronescu 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

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning a probabilistic perspective

2012 5.9k citations Kevin P. Murphy profile →
Dynamic bayesian networks: representation, inference and learning

2002 1.7k citations Kevin P. Murphy et al. profile →
Loopy Belief Propagation for Approximate Inference: An Empirical Study

2013 456 citations Kevin P. Murphy, Yair Weiss et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kevin P. Murphy Canada	25	3.9k	1.6k	1.0k	982	963	38	10.1k
Neil D. Lawrence United Kingdom	49	3.8k 1.0×	1.8k 1.1×	1.2k 1.2×	663 0.7×	1.2k 1.3×	172	8.4k
Ben Calderhead United Kingdom	12	5.2k 1.3×	3.0k 1.8×	1.1k 1.0×	573 0.6×	598 0.6×	23	12.5k
Thomas Bäck Netherlands	39	6.4k 1.7×	811 0.5×	743 0.7×	395 0.4×	1.1k 1.2×	315	12.3k
James Bergstra Canada	18	4.2k 1.1×	2.1k 1.3×	518 0.5×	902 0.9×	544 0.6×	25	10.1k
José A. Lozano Spain	45	4.4k 1.1×	1.0k 0.6×	1.1k 1.0×	786 0.8×	730 0.8×	292	10.4k
Meelis Kull Estonia	12	5.6k 1.5×	4.7k 2.9×	1.4k 1.4×	749 0.8×	616 0.6×	28	14.6k
Onur Teymur United Kingdom	3	4.7k 1.2×	2.9k 1.8×	875 0.8×	555 0.6×	526 0.5×	7	11.3k
Stuart Geman United States	27	5.9k 1.5×	5.6k 3.5×	813 0.8×	932 0.9×	584 0.6×	56	17.7k
David H. Wolpert United States	31	10.0k 2.6×	1.9k 1.2×	1.2k 1.1×	827 0.8×	1.4k 1.4×	148	18.5k
Tin Kam Ho United States	23	4.6k 1.2×	2.4k 1.5×	899 0.9×	1.0k 1.1×	457 0.5×	78	11.2k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Yiding, Shixiang Gu, Kevin P. Murphy, & Chelsea Finn. (2019). Language as an Abstraction for Hierarchical Deep Reinforcement Learning. Neural Information Processing Systems. 32. 9414–9426. 8 indexed citations

Murphy, Kevin P., Yair Weiss, & Michael I. Jordan. (2013). Loopy Belief Propagation for Approximate Inference: An Empirical Study. arXiv (Cornell University). 467–475. 456 indexed citations breakdown →

Murphy, Kevin P. & Yair Weiss. (2013). The Factored Frontier Algorithm for Approximate Inference in DBNs. arXiv (Cornell University). 378–385. 26 indexed citations

Mohamed, Shakir, et al.. (2012). Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression. Neural Information Processing Systems. 25. 3140–3148. 13 indexed citations

Khan, Mohammad Emtiyaz, Shakir Mohamed, Benjamin M. Marlin, & Kevin P. Murphy. (2012). A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. International Conference on Artificial Intelligence and Statistics. 610–618. 20 indexed citations

Marlin, Benjamin M., Mohammad Emtiyaz Khan, & Kevin P. Murphy. (2011). Piecewise bounds for estimating bernoulli-logistic latent Gaussian models. International Conference on Machine Learning. 633–640. 15 indexed citations

Schmidt, Mark & Kevin P. Murphy. (2010). Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials. International Conference on Artificial Intelligence and Statistics. 709–716. 32 indexed citations

Khan, Mohammad Emtiyaz, Guillaume Bouchard, Kevin P. Murphy, & Benjamin M. Marlin. (2010). Variational bounds for mixed-data factor analysis. Neural Information Processing Systems. 23. 1108–1116. 33 indexed citations

Goya, Rodrigo, Mark Sun, Ryan D. Morin, et al.. (2010). SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. Bioinformatics. 26(6). 730–736. 145 indexed citations

10.

Schmidt, Mark, E. van den Berg, Michael P. Friedlander, & Kevin P. Murphy. (2009). Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. International Conference on Artificial Intelligence and Statistics. 456–463. 147 indexed citations

11.

Moghaddam, Baback, et al.. (2009). Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models. Neural Information Processing Systems. 22. 1285–1293. 12 indexed citations

12.

Marlin, Benjamin M. & Kevin P. Murphy. (2009). Sparse Gaussian graphical models with unknown block structure. 705–712. 34 indexed citations

13.

Duvenaud, David, Daniel Eaton, Kevin P. Murphy, & Mark Schmidt. (2008). Causal learning without DAGs. Neural Information Processing Systems. 177–190. 4 indexed citations

14.

Eaton, Daniel & Kevin P. Murphy. (2007). Exact Bayesian structure learning from uncertain interventions. International Conference on Artificial Intelligence and Statistics. 107–114. 65 indexed citations

15.

Shah, Sohrab P., Wan L. Lam, Raymond T. Ng, & Kevin P. Murphy. (2007). Modeling recurrent DNA copy number alterations in array CGH data. Bioinformatics. 23(13). i450–i458. 46 indexed citations

16.

Parker, Matthew H., et al.. (2004). Purification and characterization of a recombinant version of human α-fetoprotein expressed in the milk of transgenic goats. Protein Expression and Purification. 38(2). 177–183. 41 indexed citations

17.

Murphy, Kevin P. & Mark A. Paskin. (2001). Linear-time inference in Hierarchical HMMs. Neural Information Processing Systems. 14. 833–840. 112 indexed citations

18.

Arsdell, Scott W. Van, et al.. (2000). Xplore ^® mRNA Assays for the Quantification of IL-1β and TNF-α mRNA in Lipopolysaccharide-Induced Mouse Macrophages. BioTechniques. 28(6). 1220–1225. 3 indexed citations

19.

Murphy, Kevin P.. (1999). Bayesian Map Learning in Dynamic Environments. Neural Information Processing Systems. 12. 1015–1021. 332 indexed citations

20.

Murphy, Kevin P.. (1998). Inference and Learning in Hybrid Bayesian Networks. UC Berkeley. 42 indexed citations

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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