J. Pearl
Impact in
- Signal Processing top 5%
- Digital Filter Design and Implementation
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
Papers in
-
- Machine Learning and Algorithms 4
- Bayesian Modeling and Causal Inference 4
- Topic Modeling 3
- Algorithms and Data Compression 3
-
- Matrix Theory and Algorithms 3
- Advanced Algebra and Logic 2
- Co-authors
- Manabu Kuroki (1 shared paper)Michael Ghil (1 shared paper)Philippe Naveau (1 shared paper)Alexis Hannart (1 shared paper)Harry Andrews (1 shared paper)William K. Pratt (1 shared paper)Dan Geiger (1 shared paper)Mark Hopkins (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (11 papers)Gastroenterology (1 paper)Quantum (1 paper)Journal of Artificial Intelligence Research (1 paper)Journal of Logic and Computation (1 paper)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
J. Pearl
26 papers receiving 579 citations
Peers
Comparison fields: 5 of 100
- Signal Processing 166
- Statistics and Probability 86
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 186
- Applied Mathematics 51
Countries citing papers authored by J. Pearl
This map shows the geographic impact of J. Pearl'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 J. Pearl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Pearl more than expected).
Fields of papers citing papers by J. Pearl
This network shows the impact of papers produced by J. Pearl. 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 J. Pearl. The network helps show where J. Pearl may publish in the future.
Co-authors
The 18 scholars most cited alongside J. Pearl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 118 | |
| 2 | 2014 | 93 | |
| 3 | 1976 | 78 | |
| 4 | 1973 | 69 | |
| 5 | 1972 | 37 | |
| 6 | Conditional independence and its representations | 1990 | 28 |
| 7 | 1990 | 28 | |
| 8 | 1971 | 22 | |
| 9 | Bayesian decision methods | 1990 | 21 |
| 10 | Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis | 1990 | 18 |
| 11 | 1996 | 17 | |
| 12 | 2007 | 16 | |
| 13 | 1975 | 14 | |
| 14 | 1971 | 13 | |
| 15 | 1975 | 9 | |
| 16 | 1976 | 9 | |
| 17 | 1975 | 8 | |
| 18 | 1973 | 5 | |
| 19 | 1979 | 5 | |
| 20 | 1976 | 4 |
About J. Pearl
J. Pearl is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 28 papers that have together received 628 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Bayesian Modeling and Causal Inference (4 papers), Digital Filter Design and Implementation (4 papers), Matrix Theory and Algorithms (3 papers), Mathematical Analysis and Transform Methods (3 papers), Topic Modeling (3 papers), Algorithms and Data Compression (3 papers) and Advanced Algebra and Logic (2 papers). The work is most often cited by research in Signal Processing (166 citations), Statistics and Probability (86 citations), Computer Vision and Pattern Recognition (149 citations), Artificial Intelligence (186 citations) and Applied Mathematics (51 citations). J. Pearl has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Manabu Kuroki, Michael Ghil, Philippe Naveau, Alexis Hannart, Harry Andrews, William K. Pratt, Dan Geiger, Mark Hopkins, Arthur L. Delcher and Adam J. Grove. Their work appears in journals such as IEEE Transactions on Information Theory, Gastroenterology, Quantum, Journal of Artificial Intelligence Research and Journal of Logic and Computation.
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.