Peter Mottishaw
Impact in
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Theoretical and Computational Physics 14
-
- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 2
- Co-authors
- C. De Dominicis (8 shared papers)Bernard Derrida (4 shared papers)E. Gardner (1 shared paper)David C. Sherrington (2 shared papers)Roderick C. Dewar (2 shared papers)K. Y. Michael Wong (1 shared paper)J. R. L. de Almeida (1 shared paper)Véronique Gayrard (1 shared paper)
- Journals
- Europhysics Letters (EPL) (3 papers)Comptes Rendus Physique (1 paper)Journal of Physics A Mathematical and Theoretical (1 paper)Lecture notes in physics (1 paper)Journal of Physics A Mathematical and General (6 papers)
- Partner nations
- United KingdomFranceBrazil
In The Last Decade
Peter Mottishaw
15 papers receiving 336 citations
Peers
Comparison fields: 5 of 33
- Condensed Matter Physics 250
- Statistical and Nonlinear Physics 183
- Mathematical Physics 53
- Computational Theory and Mathematics 64
- Statistics and Probability 27
Countries citing papers authored by Peter Mottishaw
This map shows the geographic impact of Peter Mottishaw'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 Mottishaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Mottishaw more than expected).
Fields of papers citing papers by Peter Mottishaw
This network shows the impact of papers produced by Peter Mottishaw. 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 Mottishaw. The network helps show where Peter Mottishaw may publish in the future.
Co-authors
The 8 scholars most cited alongside Peter Mottishaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 115 | |
| 2 | 1987 | 51 | |
| 3 | 1987 | 43 | |
| 4 | 1985 | 39 | |
| 5 | 1987 | 35 | |
| 6 | 1987 | 22 | |
| 7 | 1986 | 22 | |
| 8 | 1988 | 15 | |
| 9 | 1988 | 9 | |
| 10 | 1986 | 8 | |
| 11 | 1988 | 7 | |
| 12 | 1987 | 5 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 1987 | 1 | |
| 16 | 2024 | 0 |
About Peter Mottishaw
Peter Mottishaw is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Economics and Econometrics, Mathematical Physics and Computational Theory and Mathematics, having authored 16 papers that have together received 375 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (14 papers), Complex Network Analysis Techniques (7 papers), Complex Systems and Time Series Analysis (5 papers), Topological and Geometric Data Analysis (3 papers), Stochastic processes and statistical mechanics (3 papers), Quantum many-body systems (2 papers), Opinion Dynamics and Social Influence (2 papers) and Random Matrices and Applications (2 papers). The work is most often cited by research in Condensed Matter Physics (250 citations), Statistical and Nonlinear Physics (183 citations), Mathematical Physics (53 citations), Computational Theory and Mathematics (64 citations) and Statistics and Probability (27 citations). Peter Mottishaw has collaborated with scholars based in United Kingdom, France and Brazil. Frequent co-authors include C. De Dominicis, Bernard Derrida, E. Gardner, David C. Sherrington, Roderick C. Dewar, K. Y. Michael Wong, J. R. L. de Almeida and Véronique Gayrard. Their work appears in journals such as Europhysics Letters (EPL), Comptes Rendus Physique, Journal of Physics A Mathematical and Theoretical, Lecture notes in physics and Journal of Physics A Mathematical and General.
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.