James Mayfield

51 papers and 717 indexed citations i.

About

James Mayfield is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, James Mayfield has authored 51 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 10 papers in Information Systems. Recurrent topics in James Mayfield’s work include Topic Modeling (32 papers), Natural Language Processing Techniques (28 papers) and Semantic Web and Ontologies (14 papers). James Mayfield is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (28 papers) and Semantic Web and Ontologies (14 papers). James Mayfield collaborates with scholars based in United States, United Kingdom and France. James Mayfield's co-authors include Tim Finin, Paul McNamee, Christine Piatko, Justin Martineau, Cash Costello, Dawn Lawrie, Patrick Schone, Rion Snow, Douglas W. Oard and Xu Tan and has published in prestigious journals such as Cell stem cell, Artificial Intelligence Review and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of James Mayfield i

Fields of papers citing papers by James Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Mayfield

Since Specialization
Citations

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