Paul J. Nahin

About

Paul J. Nahin is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Paul J. Nahin has authored 42 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Aerospace Engineering. Recurrent topics in Paul J. Nahin’s work include Computability, Logic, AI Algorithms (2 papers), Computational Physics and Python Applications (2 papers) and History and Theory of Mathematics (2 papers). Paul J. Nahin is often cited by papers focused on Computability, Logic, AI Algorithms (2 papers), Computational Physics and Python Applications (2 papers) and History and Theory of Mathematics (2 papers). Paul J. Nahin collaborates with scholars based in United States and United Kingdom. Paul J. Nahin's co-authors include Jack Sklansky, Eli Maor, Charles Seife and Robert E. Kaplan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Paul J. Nahin i

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Fields of papers citing papers by Paul J. Nahin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Nahin. 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 Paul J. Nahin. The network helps show where Paul J. Nahin may publish in the future.

Countries citing papers authored by Paul J. Nahin

Since Specialization

Citations

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