Matthew J. Donald
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Mathematical Physics
- History and Philosophy of Science top 5%
- Co-authors
- Michał HorodeckiOliver RudolphDavid C. SmithDaniel ChengRoel VertegaalDavid HolmanDaniel ChenChanguk Sohn
- Topics
- Quantum Mechanics and Applications (10 papers)Quantum Information and Cryptography (5 papers)Advanced Thermodynamics and Statistical Mechanics (4 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- United KingdomPolandUnited States
In The Last Decade
Matthew J. Donald
14 papers receiving 390 citations
Peers
Comparison fields: 5 of 51
- Atomic and Molecular Physics, and Optics 312
- Artificial Intelligence 245
- Statistical and Nonlinear Physics 97
- Mathematical Physics 34
- History and Philosophy of Science 23
Countries citing papers authored by Matthew J. Donald
This map shows the geographic impact of Matthew J. Donald'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 Matthew J. Donald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Donald more than expected).
Fields of papers citing papers by Matthew J. Donald
This network shows the impact of papers produced by Matthew J. Donald. 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 Matthew J. Donald. The network helps show where Matthew J. Donald may publish in the future.
Co-authorship network of co-authors of Matthew J. Donald
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Donald. A scholar is included among the top collaborators of Matthew J. Donald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Donald. Matthew J. Donald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 120 | |
| 4 | 1 | |
| 5 | 56 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 38 | |
| 10 | 19 | |
| 11 | 31 | |
| 12 | 35 | |
| 13 | 76 | |
| 14 | 5 |
About Matthew J. Donald
Matthew J. Donald is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (10 papers), Quantum Information and Cryptography (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (312 citations), Statistical and Nonlinear Physics (97 citations) and Artificial Intelligence (245 citations). Matthew J. Donald has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Michał Horodecki, Oliver Rudolph, David C. Smith, Daniel Cheng, Roel Vertegaal, David Holman, Daniel Chen and Changuk Sohn. Their work appears in journals such as Communications in Mathematical Physics, Physics Letters A and Journal of Statistical Physics.
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.