Thomas S. Richardson

About

Thomas S. Richardson is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Thomas S. Richardson has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 34 papers in Statistics and Probability and 11 papers in Signal Processing. Recurrent topics in Thomas S. Richardson’s work include Bayesian Modeling and Causal Inference (34 papers), Advanced Causal Inference Techniques (25 papers) and Statistical Methods and Inference (24 papers). Thomas S. Richardson is often cited by papers focused on Bayesian Modeling and Causal Inference (34 papers), Advanced Causal Inference Techniques (25 papers) and Statistical Methods and Inference (24 papers). Thomas S. Richardson collaborates with scholars based in United States, United Kingdom and Canada. Thomas S. Richardson's co-authors include Peter Spirtes, Erica E. M. Moodie, Mathias Drton, Steffen L. Lauritzen, James M. Robins, Marloes H. Maathuis, David A. Stephens, Diego Colombo, Markus Kalisch and Christopher Meek and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Applied Physiology.

In The Last Decade

Co-authorship network of co-authors of Thomas S. Richardson i

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Fields of papers citing papers by Thomas S. Richardson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. Richardson. 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 Thomas S. Richardson. The network helps show where Thomas S. Richardson may publish in the future.

Countries citing papers authored by Thomas S. Richardson

Since Specialization

Citations

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