Stephen Gilmore

156 papers receiving 3.4k citations

Peers

Stephen Gilmore
Comparison fields: 5 of 131
  • Software 611
  • Computational Theory and Mathematics 1.3k
  • Hardware and Architecture 510
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 1.4k
Replace Jane Hillston with:
Jane Hillston United Kingdom
Alexander Romanovsky United Kingdom
Rocco De Nicola Italy
Lucas Dixon United Kingdom
C. R. Ramakrishnan United States
Ellis Horowitz United States
Michael Butler United Kingdom
Vladimiro Sassone United Kingdom
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Stephen Gilmore relative to Jane Hillston United Kingdom Jane Hillston's profile →
Citations per field
00.5×1.5×
Jane Hillston · 1×
Citations per year

Countries citing papers authored by Stephen Gilmore

Since Specialization
Citations

This map shows the geographic impact of Stephen Gilmore'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 Stephen Gilmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Gilmore more than expected).

Fields of papers citing papers by Stephen Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Gilmore. 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 Stephen Gilmore. The network helps show where Stephen Gilmore may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Gilmore, 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 Stephen Gilmore Line = papers co-authored together Stephen Gilmore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004285
2 2006243
3 1994207
4 2005194
5 2007190
6 2005174
7 2006165
8 2006150
9 201090
10
Formal Methods for Performance Evaluation
200788
11 199988
12 200178
13 200877
14 200262
15
Automatically deriving ODEs from process algebra models of signalling pathways
200560
16 200355
17 200451
18 200948
19 200846
20 200644

About Stephen Gilmore

Stephen Gilmore is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Information Systems and Molecular Biology, having authored 174 papers that have together received 3.6k indexed citations. Recurring topics across this work include Formal Methods in Verification (49 papers), Advanced Software Engineering Methodologies (37 papers), Petri Nets in System Modeling (26 papers), Service-Oriented Architecture and Web Services (21 papers), Distributed systems and fault tolerance (21 papers), Gene Regulatory Network Analysis (19 papers), Business Process Modeling and Analysis (18 papers) and Software System Performance and Reliability (14 papers). The work is most often cited by research in Software (611 citations), Computational Theory and Mathematics (1.3k citations), Hardware and Architecture (510 citations), Computer Networks and Communications (1.3k citations) and Artificial Intelligence (1.4k citations). Stephen Gilmore has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Jane Hillston, Murray Cole, Mirco Tribastone, Allan Clark, Anne Benoît, Muffy Calder, Gagarine Yaikhom, Marina Ribaudo, Martin Wirsing and M. Hölzl. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Software Engineering, ACM SIGMETRICS Performance Evaluation Review, Journal of Social Welfare and Family Law and Performance Evaluation.

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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