Max Chickering
Impact in
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- Topic Modeling
- Advanced Graph Neural Networks
- Machine Learning and Data Classification
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- Advanced Bandit Algorithms Research
- Data Quality and Management
Papers in
-
- Bayesian Modeling and Causal Inference 7
- AI-based Problem Solving and Planning 2
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- Optimization and Search Problems 3
- Peer-to-Peer Network Technologies 2
- Co-authors
- Christopher Meek (2 shared papers)Joseph Y. Halpern (2 shared papers)David Heckerman (3 shared papers)Dan Geiger (1 shared paper)Steven M. Drucker (1 shared paper)Jina Suh (1 shared paper)Saleema Amershi (1 shared paper)Patrice Simard (1 shared paper)
- Journals
- Machine Learning (1 paper)Electronic Notes in Discrete Mathematics (1 paper)Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (1 paper)Knowledge Discovery and Data Mining (1 paper)Uncertainty in Artificial Intelligence (2 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Max Chickering
19 papers receiving 1.8k citations
Max Chickering's Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 1.2k
- Management Science and Operations Research 335
- Information Systems 490
- Signal Processing 174
- Computer Vision and Pattern Recognition 257
Countries citing papers authored by Max Chickering
This map shows the geographic impact of Max Chickering'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 Max Chickering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Chickering more than expected).
Fields of papers citing papers by Max Chickering
This network shows the impact of papers produced by Max Chickering. 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 Max Chickering. The network helps show where Max Chickering may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Chickering, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the 20th conference on Uncertainty in artificial intelligence Hit paper breakdown → | 2004 | 1262 |
| 2 | 2015 | 183 | |
| 3 | Learning Bayesian Networks: Search Methods and Experimental Results | 1995 | 156 |
| 4 | Learning Bayesian Networks is NP-Complete | 1996 | 77 |
| 5 | The WinMine Toolkit | 2002 | 71 |
| 6 | 2008 | 32 | |
| 7 | Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization | 2000 | 24 |
| 8 | 2010 | 20 | |
| 9 | 2001 | 15 | |
| 10 | Stochastic and Contingent Payment Auctions | 2005 | 14 |
| 11 | 2009 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2010 | 11 | |
| 14 | 2013 | 11 | |
| 15 | Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network | 1997 | 9 |
| 16 | Monotone DAG Faithfulness: A Bad Assumption | 2003 | 6 |
| 17 | Proceedings of the ACM SIGKDD Workshop on Human Computation | 2009 | 2 |
| 18 | Online Adaptation of Influence Diagrams | 2005 | 2 |
| 19 | Uncertainty in artificial intelligence : proceedings of the Twentieth Conference (2004) : July 7-11, 2004, Banff, Canada | 2004 | 1 |
| 20 | 2009 | 0 |
About Max Chickering
Max Chickering is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Information Systems and Computational Theory and Mathematics, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Optimization and Search Problems (3 papers), Auction Theory and Applications (3 papers), Data Visualization and Analytics (2 papers), Peer-to-Peer Network Technologies (2 papers), AI-based Problem Solving and Planning (2 papers), Recommender Systems and Techniques (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Management Science and Operations Research (335 citations), Information Systems (490 citations), Signal Processing (174 citations) and Computer Vision and Pattern Recognition (257 citations). Max Chickering has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Christopher Meek, Joseph Y. Halpern, David Heckerman, Dan Geiger, Steven M. Drucker, Jina Suh, Saleema Amershi, Patrice Simard, Bongshin Lee and Guy Shani. Their work appears in journals such as Machine Learning, Electronic Notes in Discrete Mathematics, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Knowledge Discovery and Data Mining and Uncertainty in Artificial Intelligence.
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.