Erik B. Sudderth

61 papers and 1.9k indexed citations i.

About

Erik B. Sudderth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Erik B. Sudderth has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Erik B. Sudderth’s work include Bayesian Methods and Mixture Models (24 papers), Gaussian Processes and Bayesian Inference (16 papers) and Advanced Vision and Imaging (8 papers). Erik B. Sudderth is often cited by papers focused on Bayesian Methods and Mixture Models (24 papers), Gaussian Processes and Bayesian Inference (16 papers) and Advanced Vision and Imaging (8 papers). Erik B. Sudderth collaborates with scholars based in United States, United Kingdom and Germany. Erik B. Sudderth's co-authors include Alan S. Willsky, Michael I. Jordan, Emily B. Fox, William T. Freeman, Deqing Sun, Michael J. Black, Michael C. Hughes, Antonio Torralba, Martin J. Wainwright and Michael Mandel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Erik B. Sudderth i

Fields of papers citing papers by Erik B. Sudderth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik B. Sudderth. 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 Erik B. Sudderth. The network helps show where Erik B. Sudderth may publish in the future.

Countries citing papers authored by Erik B. Sudderth

Since Specialization
Citations

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