John Prager

30 papers and 1.1k indexed citations i.

About

John Prager is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, John Prager has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in John Prager’s work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Semantic Web and Ontologies (6 papers). John Prager is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Semantic Web and Ontologies (6 papers). John Prager collaborates with scholars based in United States, Japan and Taiwan. John Prager's co-authors include Jennifer Chu‐Carroll, Adam Lally, Eric W. Brown, David Ferrucci, J. William Murdock, Aditya Kalyanpur, David Gondek, Eric Nyberg, James Fan and Chris Welty and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Management Information Systems and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of John Prager i

Fields of papers citing papers by John Prager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Prager

Since Specialization
Citations

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