Philip M. Long

84 papers and 3.8k indexed citations i.

About

Philip M. Long is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Philip M. Long has authored 84 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Philip M. Long’s work include Machine Learning and Algorithms (52 papers), Algorithms and Data Compression (22 papers) and Machine Learning and Data Classification (13 papers). Philip M. Long is often cited by papers focused on Machine Learning and Algorithms (52 papers), Algorithms and Data Compression (22 papers) and Machine Learning and Data Classification (13 papers). Philip M. Long collaborates with scholars based in United States, Singapore and Austria. Philip M. Long's co-authors include Edison T. Liu, Lisa M. McShane, Christos Sotiriou, Stephen B. Fox, Philippe Martiat, Soek-Ying Neo, Amir A. Jazaeri, Adrian L. Harris, Edward L. Korn and Peter L. Bartlett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Hepatology.

In The Last Decade

Co-authorship network of co-authors of Philip M. Long i

Fields of papers citing papers by Philip M. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Long. 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 Philip M. Long. The network helps show where Philip M. Long may publish in the future.

Countries citing papers authored by Philip M. Long

Since Specialization
Citations

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