Rob McCool

1.3k citations
11 papers · 958 · 1 hit paper · h-index 8

Impact in

Papers in

Rob McCool

11 papers receiving 841 citations

Rob McCool's Hit Papers

Semantic search 2003 · 572 citations
5720+7+15Years since publication100200300400500

Peers

Rob McCool
Comparison fields: 5 of 51
  • Information Systems 575
  • Artificial Intelligence 750
  • Information Systems and Management 112
  • Computer Networks and Communications 275
  • Signal Processing 130
Replace Brian McBride with:
Brian McBride United States
Joel Sachs United States
Paul Ogilvie United States
Thanh Tran Germany
Giorgos Flouris Greece
Damyan Ognyanoff
Dimitar Manov United Kingdom
R. Scott Cost United States
Stefano Montanelli Italy
Ilya Zaihrayeu Italy
Rob McCool relative to Brian McBride United States Brian McBride's profile →
Citations per field
00.5×1.7×
Brian McBride · 1×
Citations per year

Countries citing papers authored by Rob McCool

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 10 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.

Border = papers with Rob McCool Line = papers co-authored together Rob McCool links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Semantic search
Hit paper breakdown →
2003572
2 2004104
3 200376
4
Knowledge Provenance Infrastructure.
200370
5 200551
6 199736
7 200323
8 20037
9
End-User Evaluations of Semantic Web Technologies
20057
10 20027
11
Administering Very High Volume Internet Services
19955

About Rob McCool

Rob McCool is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Information Systems and Management and Sociology and Political Science, having authored 11 papers that have together received 958 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Scientific Computing and Data Management (3 papers), Advanced Database Systems and Queries (3 papers), Web Data Mining and Analysis (2 papers), Service-Oriented Architecture and Web Services (2 papers), Research Data Management Practices (1 paper), AI-based Problem Solving and Planning (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Information Systems (575 citations), Artificial Intelligence (750 citations), Information Systems and Management (112 citations), Computer Networks and Communications (275 citations) and Signal Processing (130 citations). Rob McCool has collaborated with scholars based in United States. Frequent co-authors include R. Guha, Éric Miller, Richard Fikes, Ramanathan V. Guha, Deborah L. McGuinness, Paulo Pinheiro da Silva, Eric J. Miller, Marianne Winslett, David A. Thurman and Andrew Cowell. Their work appears in journals such as IEEE Internet Computing, Computer Networks, Lecture notes in computer science, IEEE Data(base) Engineering Bulletin 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.

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