Steve Munroe
Impact in
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- Scientific Computing and Data Management
- Artificial Intelligence top 5%
- Multi-Agent Systems and Negotiation
- Semantic Web and Ontologies
- Advanced Software Engineering Methodologies
Papers in
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- Scientific Computing and Data Management 7
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- Multi-Agent Systems and Negotiation 9
- Co-authors
- Simon Miles (18 shared papers)Luc Moreau (18 shared papers)Paul Groth (17 shared papers)Gero Flucke (17 shared papers)Sheng Jiang (13 shared papers)Victor Tan (4 shared papers)Javier Vázquez-Salceda (2 shared papers)Angelo Cangelosi (1 shared paper)
- Journals
- The Knowledge Engineering Review (1 paper)ACM Transactions on Software Engineering and Methodology (1 paper)Artificial Life (1 paper)Communications of the ACM (1 paper)Lecture notes in computer science (4 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Steve Munroe
34 papers receiving 795 citations
Peers
Comparison fields: 5 of 37
- Information Systems and Management 191
- Artificial Intelligence 167
- Cultural Studies 25
- Information Systems 60
- Software 11
Countries citing papers authored by Steve Munroe
This map shows the geographic impact of Steve Munroe'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 Steve Munroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Munroe more than expected).
Fields of papers citing papers by Steve Munroe
This network shows the impact of papers produced by Steve Munroe. 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 Steve Munroe. The network helps show where Steve Munroe may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Munroe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 161 | |
| 2 | 2007 | 109 | |
| 3 | An Architecture for Provenance Systems | 2005 | 99 |
| 4 | The First Provenance Challenge | 2008 | 61 |
| 5 | 2006 | 59 | |
| 6 | 2006 | 58 | |
| 7 | 2011 | 50 | |
| 8 | 2002 | 37 | |
| 9 | 2003 | 32 | |
| 10 | 2006 | 27 | |
| 11 | 2006 | 25 | |
| 12 | 2007 | 24 | |
| 13 | Commercial Applications of Agents: Lessons, Experiences and Challenges | 2006 | 22 |
| 14 | 2007 | 15 | |
| 15 | 2005 | 10 | |
| 16 | 2006 | 10 | |
| 17 | 2004 | 6 | |
| 18 | Data model for Process Documentation | 2006 | 6 |
| 19 | 2005 | 5 | |
| 20 | 2005 | 5 |
About Steve Munroe
Steve Munroe is a scholar working on Information Systems and Management, Artificial Intelligence, Cultural Studies, Management Information Systems and Sociology and Political Science, having authored 37 papers that have together received 868 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (9 papers), Scientific Computing and Data Management (7 papers), Business Process Modeling and Analysis (1 paper), Access Control and Trust (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Information Systems and Management (191 citations), Artificial Intelligence (167 citations), Cultural Studies (25 citations), Information Systems (60 citations) and Software (11 citations). Steve Munroe has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Simon Miles, Luc Moreau, Paul Groth, Gero Flucke, Sheng Jiang, Victor Tan, Javier Vázquez-Salceda, Angelo Cangelosi, Tim Miller and Michal Pěchouček. Their work appears in journals such as The Knowledge Engineering Review, ACM Transactions on Software Engineering and Methodology, Artificial Life, Communications of the ACM and Lecture notes in computer science.
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.