Nick Littlestone

13 papers and 1.2k indexed citations i.

About

Nick Littlestone is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Nick Littlestone has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in Nick Littlestone’s work include Machine Learning and Algorithms (13 papers), Algorithms and Data Compression (7 papers) and Machine Learning and Data Classification (7 papers). Nick Littlestone is often cited by papers focused on Machine Learning and Algorithms (13 papers), Algorithms and Data Compression (7 papers) and Machine Learning and Data Classification (7 papers). Nick Littlestone collaborates with scholars based in United States. Nick Littlestone's co-authors include David Haussler, Michael Kearns, Manfred K. Warmuth, Dale Schuurmans, Adam J. Grove, Anselm Blumer, Lisa Hellerstein and Avrim Blum and has published in prestigious journals such as Machine Learning, Discrete Applied Mathematics and Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Nick Littlestone i

Fields of papers citing papers by Nick Littlestone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nick Littlestone

Since Specialization
Citations

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