Max Chickering
Impact in
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Explainable Artificial Intelligence (XAI)
- Information Systems top 5%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
Papers in
-
- Bayesian Modeling and Causal Inference 7
- Algorithms and Data Compression 1
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- Auction Theory and Applications 3
- Co-authors
- David E. Heckerman (3 shared papers)Dan Geiger (1 shared paper)Saleema Amershi (1 shared paper)Jina Suh (1 shared paper)Steven M. Drucker (1 shared paper)Bongshin Lee (1 shared paper)Patrice Simard (1 shared paper)Guy Shani (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)ACM Conference on Recommender Systems (RecSys) (1 paper)CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Max Chickering
17 papers receiving 628 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 357
- Information Systems 103
- Computer Vision and Pattern Recognition 93
- Human-Computer Interaction 22
- Management Science and Operations Research 49
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 | 2015 | 203 | |
| 2 | Learning Bayesian Networks: Search Methods and Experimental Results | 1995 | 150 |
| 3 | Learning Bayesian Networks is NP-Complete | 1996 | 77 |
| 4 | The WinMine Toolkit | 2002 | 66 |
| 5 | 2008 | 32 | |
| 6 | Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization | 2000 | 26 |
| 7 | 2010 | 20 | |
| 8 | 2001 | 16 | |
| 9 | Stochastic and Contingent Payment Auctions | 2005 | 13 |
| 10 | 2009 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2013 | 11 | |
| 13 | Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network | 1997 | 10 |
| 14 | 2010 | 10 | |
| 15 | Monotone DAG Faithfulness: A Bad Assumption | 2003 | 7 |
| 16 | Online Adaptation of Influence Diagrams | 2005 | 2 |
| 17 | Uncertainty in artificial intelligence : proceedings of the Twentieth Conference (2004) : July 7-11, 2004, Banff, Canada | 2004 | 1 |
| 18 | 2009 | 0 |
About Max Chickering
Max Chickering is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 667 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Auction Theory and Applications (3 papers), Peer-to-Peer Network Technologies (2 papers), Data Mining Algorithms and Applications (1 paper), Graph Theory and Algorithms (1 paper), Complexity and Algorithms in Graphs (1 paper), Constraint Satisfaction and Optimization (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Artificial Intelligence (357 citations), Information Systems (103 citations), Computer Vision and Pattern Recognition (93 citations), Human-Computer Interaction (22 citations) and Management Science and Operations Research (49 citations). Max Chickering has collaborated with scholars based in United States and India. Frequent co-authors include David E. Heckerman, Dan Geiger, Saleema Amershi, Jina Suh, Steven M. Drucker, Bongshin Lee, Patrice Simard, Guy Shani, Christopher Meek and Denis Xavier Charles. 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, ACM Conference on Recommender Systems (RecSys) and CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA).
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.