Thomas J. Murray

9 papers and 300 indexed citations i.

About

Thomas J. Murray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Thomas J. Murray has authored 9 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Thomas J. Murray’s work include Semantic Web and Ontologies (4 papers), Cryptographic Implementations and Security (2 papers) and AI-based Problem Solving and Planning (2 papers). Thomas J. Murray is often cited by papers focused on Semantic Web and Ontologies (4 papers), Cryptographic Implementations and Security (2 papers) and AI-based Problem Solving and Planning (2 papers). Thomas J. Murray collaborates with scholars based in United States. Thomas J. Murray's co-authors include John P. van Gigch, Leo L. Pipino, Mohan Tanniru, Young Ju Suh and Ritu Agarwal and has published in prestigious journals such as MIS Quarterly, Expert Systems with Applications and Information & Management.

In The Last Decade

Co-authorship network of co-authors of Thomas J. Murray i

Fields of papers citing papers by Thomas J. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas J. Murray

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025