Peter Matthews

94 papers receiving 1.1k citations

Peers

Peter Matthews
Comparison fields: 5 of 128
  • Statistics and Probability 175
  • Discrete Mathematics and Combinatorics 52
  • Mathematical Physics 124
  • Management of Technology and Innovation 83
  • Control and Systems Engineering 247
Replace Ciro D’Apice with:
Ciro D’Apice Italy
Stefania Tomasiello Italy
John Shortle United States
Jiří Močkoř Czechia
Olivier Dousse Switzerland
Vijayakumar Varadarajan Australia
S.C.-Y. Lu United States
Yi Su China
J. Yen United States
Mohamed Abdel-Basset Egypt
Peter Matthews relative to Ciro D’Apice Italy Ciro D’Apice's profile →
Citations per field
00.5×10.9×
Ciro D’Apice · 1×
Citations per year

Countries citing papers authored by Peter Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Peter Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013111
2 199695
3 198874
4 201569
5 196844
6 198844
7 199033
8 201926
9 201626
10 199526
11 202024
12 201723
13 201023
14 199323
15 201820
16 201420
17 201920
18 201420
19 199720
20 200220

About Peter Matthews

Peter Matthews is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Management of Technology and Innovation, Information Systems and Artificial Intelligence, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (11 papers), Markov Chains and Monte Carlo Methods (10 papers), Product Development and Customization (10 papers), Machine Fault Diagnosis Techniques (10 papers), Wind Energy Research and Development (9 papers), Fault Detection and Control Systems (8 papers), Design Education and Practice (8 papers) and Stochastic processes and statistical mechanics (8 papers). The work is most often cited by research in Statistics and Probability (175 citations), Discrete Mathematics and Combinatorics (52 citations), Mathematical Physics (124 citations), Management of Technology and Innovation (83 citations) and Control and Systems Engineering (247 citations). Peter Matthews has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Peter Tavner, Jamie L. Godwin, Bingdi Chen, Sherrie E. Emoto, George Smith, Paul Maropoulos, Víctor Muntés-Mulero, Andrew L. Rukhin, Carrie Gates and William F. Rosenberger. Their work appears in journals such as The Annals of Probability, Journal of Applied Probability, Journal of Engineering Design, Artificial intelligence for engineering design analysis and manufacturing and Advanced Engineering Informatics.

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.

Explore authors with similar magnitude of impact