David Leslie
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
Papers in
-
- Fluid Dynamics and Turbulent Flows 15
- Computational Fluid Dynamics and Aerodynamics 5
-
- Explainable Artificial Intelligence (XAI) 5
- Privacy-Preserving Technologies in Data 4
- Co-authors
- C. E. Leith (1 shared paper)G L Quarini (1 shared paper)Peter E. Lipsky (1 shared paper)Abner Louis Notkins (1 shared paper)Atoosa Kasirzadeh (1 shared paper)Abeba Birhane (3 shared papers)Sandra Wachter (1 shared paper)Christopher Burr (6 shared papers)
- Journals
- Nature (4 papers)Nuclear Science and Engineering (4 papers)Journal of Fluid Mechanics (4 papers)Nuclear Engineering and Design (2 papers)Biometrika (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Leslie
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 178
- Health Informatics 99
- Computational Mechanics 484
- Environmental Engineering 224
- Safety Research 97
- Atmospheric Science 138
Countries citing papers authored by David Leslie
This map shows the geographic impact of David Leslie'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 David Leslie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Leslie more than expected).
Fields of papers citing papers by David Leslie
This network shows the impact of papers produced by David Leslie. 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 David Leslie. The network helps show where David Leslie may publish in the future.
Co-authors
The 25 scholars most cited alongside David Leslie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 306 | |
| 2 | 1979 | 174 | |
| 3 | 2023 | 167 | |
| 4 | 2001 | 152 | |
| 5 | 2004 | 56 | |
| 6 | 2008 | 55 | |
| 7 | 2020 | 47 | |
| 8 | 2022 | 46 | |
| 9 | 1995 | 44 | |
| 10 | 2022 | 33 | |
| 11 | 2023 | 30 | |
| 12 | 2021 | 30 | |
| 13 | 1977 | 20 | |
| 14 | 1979 | 20 | |
| 15 | 2023 | 18 | |
| 16 | 1980 | 18 | |
| 17 | 1995 | 16 | |
| 18 | 1965 | 15 | |
| 19 | 2018 | 13 | |
| 20 | 1958 | 13 |
About David Leslie
David Leslie is a scholar working on Computational Mechanics, Artificial Intelligence, Mechanical Engineering, Aerospace Engineering and Safety Research, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (15 papers), Ethics and Social Impacts of AI (10 papers), Electronic Packaging and Soldering Technologies (9 papers), Wind and Air Flow Studies (6 papers), Explainable Artificial Intelligence (XAI) (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Diabetes Management and Research (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Health Informatics (99 citations), Computational Mechanics (484 citations), Environmental Engineering (224 citations), Safety Research (97 citations) and Atmospheric Science (138 citations). David Leslie has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include C. E. Leith, G L Quarini, Peter E. Lipsky, Abner Louis Notkins, Atoosa Kasirzadeh, Abeba Birhane, Sandra Wachter, Christopher Burr, Paolo Pozzilli and Abhijit Dasgupta. Their work appears in journals such as Nature, Nuclear Science and Engineering, Journal of Fluid Mechanics, Nuclear Engineering and Design and Biometrika.
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.