Max Chickering

4 papers and 960 indexed citations i.

About

Max Chickering is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Max Chickering has authored 4 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in Max Chickering’s work include Bayesian Modeling and Causal Inference (4 papers), AI-based Problem Solving and Planning (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Max Chickering is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), AI-based Problem Solving and Planning (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Max Chickering collaborates with scholars based in United States and United Kingdom. Max Chickering's co-authors include Joseph Y. Halpern, Christopher Meek, David Heckerman, Carl Kadie, C. E. Meek, Henry Kautz, Yongshao Ruan, Carla P. Gomes, Eric Horvitz and Bart Selman and has published in prestigious journals such as Machine Learning, Electronic Notes in Discrete Mathematics and Uncertainty in Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Max Chickering i

Fields of papers citing papers by Max Chickering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Max Chickering

Since Specialization
Citations

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).

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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2025