Tom Gruber
Impact in
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Multi-Agent Systems and Negotiation
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
- Information Systems top 1%
- Service-Oriented Architecture and Web Services
Papers in
-
- Semantic Web and Ontologies 7
- Logic, Reasoning, and Knowledge 5
- AI-based Problem Solving and Planning 2
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- Advanced Database Systems and Queries 3
- Co-authors
- William Swartout (1 shared paper)Tim Finin (1 shared paper)Ted E. Senator (1 shared paper)Richard Fikes (1 shared paper)Robert Neches (1 shared paper)Ramesh S. Patil (1 shared paper)Peter D. Karp (1 shared paper)Karen L. Myers (1 shared paper)
- Journals
- Journal of Web Semantics (1 paper)AI Magazine (1 paper)Lecture notes in computer science (1 paper)Encyclopedia of Database Systems (3 papers)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Tom Gruber
7 papers receiving 1.5k citations
Tom Gruber's Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 1.2k
- Information Systems 687
- Management Information Systems 194
- Computer Science Applications 109
- Communication 95
Countries citing papers authored by Tom Gruber
This map shows the geographic impact of Tom Gruber'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 Tom Gruber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Gruber more than expected).
Fields of papers citing papers by Tom Gruber
This network shows the impact of papers produced by Tom Gruber. 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 Tom Gruber. The network helps show where Tom Gruber may publish in the future.
Co-authors
The 8 scholars most cited alongside Tom Gruber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Enabling technology for knowledge sharing Hit paper breakdown → | 1991 | 989 |
| 2 | 2007 | 426 | |
| 3 | 2009 | 174 | |
| 4 | The generic frame protocol | 1995 | 65 |
| 5 | 2006 | 24 | |
| 6 | 2018 | 15 | |
| 7 | 2016 | 3 |
About Tom Gruber
Tom Gruber is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Information Systems and Infectious Diseases, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Logic, Reasoning, and Knowledge (5 papers), Advanced Database Systems and Queries (3 papers), AI-based Problem Solving and Planning (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Artificial Intelligence (1.2k citations), Information Systems (687 citations), Management Information Systems (194 citations), Computer Science Applications (109 citations) and Communication (95 citations). Tom Gruber has collaborated with scholars based in United States. Frequent co-authors include William Swartout, Tim Finin, Ted E. Senator, Richard Fikes, Robert Neches, Ramesh S. Patil, Peter D. Karp and Karen L. Myers. Their work appears in journals such as Journal of Web Semantics, AI Magazine, Lecture notes in computer science, Encyclopedia of Database Systems and International Joint Conference on Artificial Intelligence.
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.