Matt Webster

1.4k citations
40 papers · 722 · h-index 14

Impact in

Papers in

Matt Webster

39 papers receiving 684 citations

Peers

Matt Webster
Comparison fields: 5 of 77
  • Software 134
  • Computational Theory and Mathematics 197
  • Safety Research 97
  • Artificial Intelligence 344
  • Safety, Risk, Reliability and Quality 60
Replace Andrew Coles with:
Andrew Coles United Kingdom
Siddartha Khastgir United Kingdom
Ari Jónsson United States
Daniel Clancy United States
Radim Jiroušek Czechia
Rafael M. Martins Sweden
Nesar Ahmad India
John Bresina United States
Mark Austin United States
Matt Webster relative to Andrew Coles United Kingdom Andrew Coles's profile →
Citations per field
00.5×10×16.2×
Andrew Coles · 1×
Citations per year

Countries citing papers authored by Matt Webster

Since Specialization
Citations

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

Fields of papers citing papers by Matt Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 201181
3 201373
4
Eclipse AspectJ: Aspect-Oriented Programming with AspectJ and the Eclipse AspectJ Development Tools
200464
5 201343
6 201539
7 201035
8 201434
9 202132
10 201018
11 201817
12 200617
13
Formal Verification of an Autonomous Personal Robotic Assistant
201416
14 201215
15 201212
16 202112
17 200812
18 199312
19 201110
20 20089

About Matt Webster

Matt Webster is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Software and Computer Networks and Communications, having authored 40 papers that have together received 722 indexed citations. Recurring topics across this work include Formal Methods in Verification (12 papers), Advanced Software Engineering Methodologies (6 papers), Software Testing and Debugging Techniques (5 papers), Robot Manipulation and Learning (4 papers), Robotic Path Planning Algorithms (4 papers), Cellular Automata and Applications (4 papers), Advanced Malware Detection Techniques (4 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Software (134 citations), Computational Theory and Mathematics (197 citations), Safety Research (97 citations), Artificial Intelligence (344 citations) and Safety, Risk, Reliability and Quality (60 citations). Matt Webster has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Michael Fisher, Louise A. Dennis, Marija Slavkovik, Michael Jump, Rafael H. Bordini, Grant Malcolm, George Harley, Clare Dixon, Maha Salem and Joe Saunders. Their work appears in journals such as Robotics, Communications of the ACM, Robotics and Autonomous Systems, IEEE Transactions on Human-Machine Systems and Journal of Computational 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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