Leonard Pitt

44 papers and 1.0k indexed citations i.

About

Leonard Pitt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Cultural Studies. According to data from OpenAlex, Leonard Pitt has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 6 papers in Cultural Studies. Recurrent topics in Leonard Pitt’s work include Machine Learning and Algorithms (30 papers), Algorithms and Data Compression (25 papers) and Machine Learning and Data Classification (8 papers). Leonard Pitt is often cited by papers focused on Machine Learning and Algorithms (30 papers), Algorithms and Data Compression (25 papers) and Machine Learning and Data Classification (8 papers). Leonard Pitt collaborates with scholars based in United States, Japan and Israel. Leonard Pitt's co-authors include Leslie G. Valiant, Manfred K. Warmuth, Michael Kearns, Michael Frazier, Nina Mishra, Dana Angluin, Carl H. Smith, Howard Aizenstein, Stephen Kwek and Moses Rischin and has published in prestigious journals such as The American Historical Review, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Leonard Pitt i

Fields of papers citing papers by Leonard Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonard Pitt

Since Specialization
Citations

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