Teddy Seidenfeld

62 papers and 1.4k indexed citations i.

About

Teddy Seidenfeld is a scholar working on Artificial Intelligence, General Decision Sciences and Management Science and Operations Research. According to data from OpenAlex, Teddy Seidenfeld has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 19 papers in General Decision Sciences and 15 papers in Management Science and Operations Research. Recurrent topics in Teddy Seidenfeld’s work include Bayesian Modeling and Causal Inference (28 papers), Decision-Making and Behavioral Economics (19 papers) and Philosophy and History of Science (9 papers). Teddy Seidenfeld is often cited by papers focused on Bayesian Modeling and Causal Inference (28 papers), Decision-Making and Behavioral Economics (19 papers) and Philosophy and History of Science (9 papers). Teddy Seidenfeld collaborates with scholars based in United States, Brazil and China. Teddy Seidenfeld's co-authors include Mark J. Schervish, Joseph B. Kadane, Henry E. Kyburg, Larry Wasserman, Lawrence Sklar, Grover Maxwell, Timothy J. Herron, Larry Wasserman, Glen Meeden and Paolo Vicig and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Teddy Seidenfeld i

Fields of papers citing papers by Teddy Seidenfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teddy Seidenfeld. 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 Teddy Seidenfeld. The network helps show where Teddy Seidenfeld may publish in the future.

Countries citing papers authored by Teddy Seidenfeld

Since Specialization
Citations

This map shows the geographic impact of Teddy Seidenfeld'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 Teddy Seidenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teddy Seidenfeld 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