Jeff Dalton

56 papers and 1.1k indexed citations i.

About

Jeff Dalton is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jeff Dalton has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 20 papers in Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Jeff Dalton’s work include Topic Modeling (27 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (9 papers). Jeff Dalton is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (9 papers). Jeff Dalton collaborates with scholars based in United Kingdom, United States and Germany. Jeff Dalton's co-authors include Steven Williams, Christopher Andrew, Martina Mitterschiffthaler, Cynthia H.Y. Fu, James Allan, Laura Dietz, Austin Tate, Anthony S. David, Mary L. Phillips and Alison Bond and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Experimental Psychology General.

In The Last Decade

Co-authorship network of co-authors of Jeff Dalton i

Fields of papers citing papers by Jeff Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jeff Dalton

Since Specialization
Citations

This map shows the geographic impact of Jeff Dalton'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 Jeff Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Dalton 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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2025