Peter Matthews

62 papers receiving 778 citations

Peers

Peter Matthews
Comparison fields: 5 of 67
  • Discrete Mathematics and Combinatorics 57
  • Management of Technology and Innovation 73
  • Control and Systems Engineering 208
  • Statistics and Probability 76
  • Safety, Risk, Reliability and Quality 55
Replace Ilya B. Gertsbakh with:
Ilya B. Gertsbakh Israel
Kondo H. Adjallah France
Rueven Y. Rubinstein Israel
Masao Mukaidono Japan
Qi Hang Wu China
Stefan Vigerske Germany
Kien Ming Ng Singapore
Richard P. Heydorn United States
Ahmad M. Alshamrani Saudi Arabia
Peter Matthews relative to Ilya B. Gertsbakh Israel Ilya B. Gertsbakh's profile →
Citations per field
00.5×5×10×15×20×24.3×
Ilya B. Gertsbakh · 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 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013109
2 199697
3 200869
4 201569
5 199032
6 201628
7 202025
8 201724
9 201922
10 201421
11 198720
12 200220
13 199718
14 201918
15 199314
16 201914
17
Foundations of an agile design methodology.
200613
18 201313
19 201012
20 201311

About Peter Matthews

Peter Matthews is a scholar working on Management of Technology and Innovation, Control and Systems Engineering, Electrical and Electronic Engineering, Aerospace Engineering and Statistics and Probability, having authored 65 papers that have together received 825 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (10 papers), Wind Energy Research and Development (9 papers), Wind Turbine Control Systems (9 papers), Collaboration in agile enterprises (7 papers), Design Education and Practice (7 papers), Electric Power System Optimization (4 papers), Smart Grid Energy Management (4 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (57 citations), Management of Technology and Innovation (73 citations), Control and Systems Engineering (208 citations), Statistics and Probability (76 citations) and Safety, Risk, Reliability and Quality (55 citations). Peter Matthews has collaborated with scholars based in United Kingdom, Pakistan and China. Frequent co-authors include Peter Tavner, Jamie L. Godwin, Sherrie E. Emoto, Paul Maropoulos, Hongjian Sun, Tanvir Ahmad, William Fisher Rosenberger, Behzad Kazemtabrizi, Ken M. Wallace and Christopher Crabtree. Their work appears in journals such as Advanced Engineering Informatics, IET Renewable Power Generation, Energies, Journal of Engineering Design and IET Power Electronics.

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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