Kevin P. Murphy
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Molecular Biology top 10%
- Signal Processing top 0.5%
- Control and Systems Engineering top 1%
- Co-authors
- Stuart RussellYair WeissMichael I. JordanHolger H. HoosMark SchmidtMark A. PaskinJames M. RehgAnne Condon
- Topics
- Bayesian Modeling and Causal Inference (16 papers)Bayesian Methods and Mixture Models (7 papers)Machine Learning and Algorithms (7 papers)
- Partner nations
- CanadaUnited StatesIreland
In The Last Decade
Kevin P. Murphy
38 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Artificial Intelligence 3.9k
- Computer Vision and Pattern Recognition 1.6k
- Molecular Biology 1.0k
- Signal Processing 982
- Control and Systems Engineering 963
Countries citing papers authored by Kevin P. Murphy
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Language as an Abstraction for Hierarchical Deep Reinforcement Learning | 8 |
| 2 | Loopy Belief Propagation for Approximate Inference: An Empirical Studybreakdown → | 456 |
| 3 | 26 | |
| 4 | A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models | 20 |
| 5 | Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression | 13 |
| 6 | Piecewise bounds for estimating bernoulli-logistic latent Gaussian models | 15 |
| 7 | Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials | 32 |
| 8 | Variational bounds for mixed-data factor analysis | 33 |
| 9 | 85 | |
| 10 | 145 | |
| 11 | Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm | 147 |
| 12 | Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models | 12 |
| 13 | 34 | |
| 14 | Causal learning without DAGs | 4 |
| 15 | Exact Bayesian structure learning from uncertain interventions | 65 |
| 16 | 46 | |
| 17 | 41 | |
| 18 | Linear-time inference in Hierarchical HMMs | 112 |
| 19 | Bayesian Map Learning in Dynamic Environments | 332 |
| 20 | Inference and Learning in Hybrid Bayesian Networks | 42 |
About Kevin P. Murphy
Kevin P. Murphy is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research, having authored 38 papers that have together received 10.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (16 papers), Bayesian Methods and Mixture Models (7 papers) and Machine Learning and Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (3.9k citations), Signal Processing (982 citations) and Computer Vision and Pattern Recognition (1.6k citations). Kevin P. Murphy has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Stuart Russell, Yair Weiss, Michael I. Jordan, Holger H. Hoos, Mark Schmidt, Mark A. Paskin, James M. Rehg, Anne Condon, David H. Mathews and Mirela Andronescu. Their work appears in journals such as Bioinformatics, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.
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.