Rob McCool
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 2
- Web Data Mining and Analysis 2
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 5
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- Scientific Computing and Data Management 2
- Signal Processing top 10%
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- Advanced Database Systems and Queries 3
- Peer-to-Peer Network Technologies 1
- Distributed and Parallel Computing Systems 1
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- Access Control and Trust 1
- Co-authors
- R. GuhaÉric MillerPaulo Pinheiro da SilvaDeborah L. McGuinnessEric J. MillerAndrew CowellDavid A. ThurmanMarianne Winslett
- Journals
- IEEE Internet Computing (2 papers)Computer Networks (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 558 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Information Systems 399
- Artificial Intelligence 494
- Information Systems and Management 72
- Signal Processing 89
- Computer Networks and Communications 184
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-authorship network
The 8 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 | End-User Evaluations of Semantic Web Technologies | 2005 | 7 |
| 2 | 2005 | 42 | |
| 3 | Knowledge Provenance Infrastructure. | 2003 | 50 |
| 4 | 2003 | 14 | |
| 5 | 2003 | 58 | |
| 6 | 2003 | 4 | |
| 7 | Semantic searchbreakdown → | 2003 | 435 |
| 8 | 2002 | 4 | |
| 9 | 1997 | 34 | |
| 10 | Administering Very High Volume Internet Services | 1995 | 5 |
About Rob McCool
Rob McCool is a scholar working on Information Systems and Management, Computer Networks and Communications and Human-Computer Interaction, having authored 10 papers that have together received 653 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Advanced Database Systems and Queries (3 papers), Service-Oriented Architecture and Web Services (2 papers), Web Data Mining and Analysis (2 papers), Scientific Computing and Data Management (2 papers), Peer-to-Peer Network Technologies (1 paper), Distributed and Parallel Computing Systems (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Information Systems (399 citations), Artificial Intelligence (494 citations) and Information Systems and Management (72 citations). Rob McCool has collaborated with scholars based in United States. Frequent co-authors include R. Guha, Éric Miller, Paulo Pinheiro da Silva, Deborah L. McGuinness, Eric J. Miller, Andrew Cowell, David A. Thurman and Marianne Winslett. Their work appears in journals such as IEEE Internet Computing, Computer Networks, University of North Texas Digital Library (University of North Texas), SSRN Electronic Journal and IEEE Data(base) Engineering Bulletin.
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.