Lawrence K. Saul

68 papers and 15.8k indexed citations i.

About

Lawrence K. Saul is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lawrence K. Saul has authored 68 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 23 papers in Signal Processing and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lawrence K. Saul’s work include Face and Expression Recognition (18 papers), Music and Audio Processing (10 papers) and Sparse and Compressive Sensing Techniques (9 papers). Lawrence K. Saul is often cited by papers focused on Face and Expression Recognition (18 papers), Music and Audio Processing (10 papers) and Sparse and Compressive Sensing Techniques (9 papers). Lawrence K. Saul collaborates with scholars based in United States, Canada and United Kingdom. Lawrence K. Saul's co-authors include Sam T. Roweis, Kilian Q. Weinberger, Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, John Blitzer, Fei Sha, Daniel D. Lee, Youngmin Cho and Mehran Kardar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nuclear Physics B.

In The Last Decade

Co-authorship network of co-authors of Lawrence K. Saul i

Fields of papers citing papers by Lawrence K. Saul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence K. Saul. 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 Lawrence K. Saul. The network helps show where Lawrence K. Saul may publish in the future.

Countries citing papers authored by Lawrence K. Saul

Since Specialization
Citations

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