Simon Burton

1.1k citations
69 papers · 653 · h-index 14

Impact in

Papers in

Simon Burton

57 papers receiving 587 citations

Peers

Simon Burton
Comparison fields: 5 of 103
  • Software 129
  • Safety, Risk, Reliability and Quality 159
  • Health Informatics 14
  • Statistics, Probability and Uncertainty 67
  • Medical Laboratory Technology 13
Replace Ariel Rosenfeld with:
Ariel Rosenfeld Israel
Marquard Smith United States
C.J. Price United Kingdom
Dong-Han Ham South Korea
Judy Bowen New Zealand
Jorge Luis Romeu United States
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Bryan Mesmer United States
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Citations per field
00.5×9.9×
Ariel Rosenfeld · 1×
Citations per year

Countries citing papers authored by Simon Burton

Since Specialization
Citations

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

Fields of papers citing papers by Simon Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 201790
3 202246
4 201833
5
Knowledge, information and development: an African perspective
200127
6 201223
7 200523
8 201222
9 201920
10
Energy efficient office refurbishment
200118
11 202317
12
Large-Scale Multiclass Transduction
200514
13 202213
14
A Future Dynamically Reconfigurable Automotive Software System
200813
15
Automated V&V for high integrity systems, a targeted formal methods approach
200013
16 200212
17 201611
18 201210
19 20029
20 20218

About Simon Burton

Simon Burton is a scholar working on Safety, Risk, Reliability and Quality, Artificial Intelligence, Software, History and Political Science and International Relations, having authored 69 papers that have together received 653 indexed citations. Recurring topics across this work include Safety Systems Engineering in Autonomy (19 papers), Software Reliability and Analysis Research (11 papers), Reformation and Early Modern Christianity (10 papers), Adversarial Robustness in Machine Learning (10 papers), Risk and Safety Analysis (6 papers), Software Testing and Debugging Techniques (6 papers), Formal Methods in Verification (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Software (129 citations), Safety, Risk, Reliability and Quality (159 citations), Health Informatics (14 citations), Statistics, Probability and Uncertainty (67 citations) and Medical Laboratory Technology (13 citations). Simon Burton has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Christian Heinzemann, John McDermid, Ibrahim Habli, Zoë Porter, Tom Lawton, Christine Stilwell, Marko Wolf, John A. Clark, Helen Campbell and David Litt. Their work appears in journals such as Lecture notes in computer science, Intellectual History Review, Journal of Communication, BMC Public Health and ACM Transactions on Autonomous and Adaptive Systems.

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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