Thomas J. Murray

539 total citations
14 papers, 407 citations indexed

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 14 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 10 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 (5 papers), AI-based Problem Solving and Planning (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). Thomas J. Murray is often cited by papers focused on Semantic Web and Ontologies (5 papers), AI-based Problem Solving and Planning (3 papers) and Intelligent Tutoring Systems and Adaptive Learning (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, David J. Brown, John J. Clement, Karl Schultz and Ritu Agarwal and has published in prestigious journals such as MIS Quarterly, Expert Systems with Applications and Information & Management.

In The Last Decade

Thomas J. Murray

13 papers receiving 372 citations

Peers

Thomas J. Murray

MSOR

SPS

SM

EDUCA

MIS

Lars Skyttner Sweden

Yin Lin United Kingdom

Collin Carbno

Pi‐Fang Hsu Taiwan

Hsin-Yi Yen Taiwan

Annibal Parracho Sant’Anna Brazil

Edward Finch United Kingdom

Jon Walker United Kingdom

Stefano Armenia Italy

Yueh-Hsiang Chen Taiwan

Lars Skyttner Sweden

Thomas J. Murray

148 ×1.2

MSOR

97 ×1.1

SPS

63 ×0.7

SM

21 ×0.4

EDUCA

78 ×1.9

MIS

Citations per year, relative to Thomas J. Murray Thomas J. Murray (= 1×) peers Lars Skyttner

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Murray. A scholar is included among the top collaborators of Thomas J. Murray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas J. Murray. Thomas J. Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Murray, Thomas J.. (2023). Facilitating teacher participation in intelligent computer tutor design : tools and design methods.. Scholarworks (University of Massachusetts Amherst).

2.

Murray, Thomas J. & Mohan Tanniru. (2003). Control of inconsistency and redundancy in Prolog-type knowledge bases. 72. 280–285. 1 indexed citations

3.

Suh, Young Ju & Thomas J. Murray. (1994). A tree-based approach for verifying completeness and consistency in rule-based systems. Expert Systems with Applications. 7(2). 199–220. 5 indexed citations

4.

Murray, Thomas J., et al.. (1993). A modularization approach for PROLOG knowledge bases. Information Systems. 18(6). 405–417. 1 indexed citations

5.

Murray, Thomas J. & Mohan Tanniru. (1991). Control of inconsistency and redundancy in PROLOG-type knowledge bases. Expert Systems with Applications. 2(4). 321–331. 7 indexed citations

6.

Murray, Thomas J., et al.. (1987). A preliminary specification of an on-line expert help system. Information & Management. 13(4). 191–196. 2 indexed citations

7.

Murray, Thomas J.. (1987). Quality in R&D: Meeting the New Quality Challenge. Research Management. 30(6). 25–30. 11 indexed citations

8.

Clement, John J., Karl Schultz, Thomas J. Murray, & David J. Brown. (1987). Overcoming misconceptions with a computer-based tutor. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 12 indexed citations

9.

Murray, Thomas J. & Mohan Tanniru. (1987). A Framework for Selecting between Knowledge-based and Traditional Systems Design. Journal of Management Information Systems. 4(1). 42–58. 6 indexed citations

10.

Murray, Thomas J.. (1985). Computer-Based Information Systems. 15 indexed citations

11.

Murray, Thomas J., Leo L. Pipino, & John P. van Gigch. (1985). A pilot study of fuzzy set modification of Delphi*. Human Systems Management. 5(1). 76–80. 323 indexed citations

12.

Murray, Thomas J.. (1979). Delphi methodologies: A review and critique. 4(2). 153–158. 20 indexed citations

13.

Murray, Thomas J.. (1979). Cryptographic Protection of Computer-Based Data Files*. MIS Quarterly. 3(1). 21–28. 2 indexed citations

14.

Murray, Thomas J.. (1979). Cryptographic transformation of data relationships. Information & Management. 2(3). 95–98. 2 indexed citations

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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