Steve Munroe

1.2k citations
38 papers · 797 · h-index 14

Impact in

Papers in

Steve Munroe

35 papers receiving 727 citations

Peers

Steve Munroe
Comparison fields: 5 of 72
  • Information Systems and Management 419
  • Computer Networks and Communications 358
  • Information Systems 343
  • Management Science and Operations Research 169
  • Artificial Intelligence 295
Replace C. Maria Keet with:
C. Maria Keet South Africa
Danius Michaelides United Kingdom
Antoine Isaac Netherlands
Vanessa Braganholo Brazil
Don Cruickshank United Kingdom
Max Völkel Germany
Kenneth R. Grant United States
Yucong Duan China
Yannis Tzitzikas Greece
Yunyao Li United States
Steve Munroe relative to C. Maria Keet South Africa C. Maria Keet's profile →
Citations per field
00.5×5.9×
C. Maria Keet · 1×
Citations per year

Countries citing papers authored by Steve Munroe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008160
2
Architecture for Provenance Systems
200598
3
AAMAS '04: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems
200464
4 200659
5 200658
6 201150
7 200240
8
International Provenance and Annotation Workshop
200635
9 200332
10 200627
11 200625
12
Commercial Applications of Agents: Lessons, Experiences and Challenges
200621
13 200721
14 200715
15 200610
16 200510
17 20047
18
Data model for Process Documentation
20066
19 20055
20 20055

About Steve Munroe

Steve Munroe is a scholar working on Artificial Intelligence, Information Systems and Management, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 38 papers that have together received 797 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (17 papers), Multi-Agent Systems and Negotiation (13 papers), Distributed and Parallel Computing Systems (10 papers), Research Data Management Practices (9 papers), Semantic Web and Ontologies (9 papers), Auction Theory and Applications (6 papers), Logic, Reasoning, and Knowledge (5 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Information Systems and Management (419 citations), Computer Networks and Communications (358 citations), Information Systems (343 citations), Management Science and Operations Research (169 citations) and Artificial Intelligence (295 citations). Steve Munroe has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Simon Miles, Paul Groth, G. Flucke, Luc Moreau, Sheng Jiang, Victor Tan, Mark d’Inverno, Javier Vázquez-Salceda, Angelo Cangelosi and Michal Pěchouček. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Communications of the ACM, Artificial Life, The Knowledge Engineering Review 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.

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