Rob McCool
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Service-Oriented Architecture and Web Services
- Cloud Computing and Resource Management
Papers in
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- Semantic Web and Ontologies 6
-
- Cloud Computing and Resource Management 2
- Information Retrieval and Search Behavior 1
- Co-authors
- R. Guha (1 shared paper)Ramanathan V. Guha (1 shared paper)Richard E. Fikes (1 shared paper)Deborah L. McGuinness (1 shared paper)Marianne Winslett (1 shared paper)Andrew J. Cowell (1 shared paper)David A. Thurman (1 shared paper)
- Journals
- IEEE Internet Computing (2 papers)Computer Networks (1 paper)Journal of Web Semantics (1 paper)Lecture notes in computer science (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)
- Partner nations
- United States
In The Last Decade
Rob McCool
10 papers receiving 373 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 267
- Information Systems 117
- Information Systems and Management 31
- Computer Networks and Communications 54
- Computer Science Applications 10
Countries citing papers authored by Rob McCool
This map shows the geographic impact of Rob McCool'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 Rob McCool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob McCool more than expected).
Fields of papers citing papers by Rob McCool
This network shows the impact of papers produced by Rob McCool. 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 Rob McCool. The network helps show where Rob McCool may publish in the future.
Co-authors
The 7 scholars most cited alongside Rob McCool, 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 | 2004 | 99 | |
| 2 | 2003 | 76 | |
| 3 | Knowledge Provenance Infrastructure. | 2003 | 70 |
| 4 | 2003 | 53 | |
| 5 | 2005 | 51 | |
| 6 | 1997 | 36 | |
| 7 | 2003 | 21 | |
| 8 | 2002 | 7 | |
| 9 | End-User Evaluations of Semantic Web Technologies | 2005 | 6 |
| 10 | Administering Very High Volume Internet Services | 1995 | 5 |
About Rob McCool
Rob McCool is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Human-Computer Interaction and Sociology and Political Science, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Software System Performance and Reliability (2 papers), Cloud Computing and Resource Management (2 papers), Network Traffic and Congestion Control (2 papers), Access Control and Trust (1 paper), Information Retrieval and Search Behavior (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Artificial Intelligence (267 citations), Information Systems (117 citations), Information Systems and Management (31 citations), Computer Networks and Communications (54 citations) and Computer Science Applications (10 citations). Rob McCool has collaborated with scholars based in United States. Frequent co-authors include R. Guha, Ramanathan V. Guha, Richard E. Fikes, Deborah L. McGuinness, Marianne Winslett, Andrew J. Cowell and David A. Thurman. Their work appears in journals such as IEEE Internet Computing, Computer Networks, Journal of Web Semantics, Lecture notes in computer science and University of North Texas Digital Library (University of North Texas).
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.