David Salman
- Modeling and Simulation top 5%
- Health top 10%
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- Long-Term Effects of COVID-19 4
- General Health Professions top 10%
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- Physical Activity and Health 5
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- Chronic Disease Management Strategies 3
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- Musculoskeletal pain and rehabilitation 3
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- Delphi Technique in Research 3
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- COVID-19 and Mental Health 3
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- Medical Coding and Health Information 3
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- Machine Learning in Healthcare 2
- Co-authors
- Thomas BeaneyAzeem MajeedJonathan ClarkeVageesh JainGemma LyonsAlison H. McGregorPeter Le FeuvreTianyu Zhou
- Partner nations
- United KingdomSwedenSingapore
In The Last Decade
David Salman
17 papers receiving 432 citations
Peers
Comparison fields: 5 of 86
- Modeling and Simulation 81
- Health 59
- Health, Toxicology and Mutagenesis 82
- Neurology 78
- General Health Professions 111
Countries citing papers authored by David Salman
This map shows the geographic impact of David Salman'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 Salman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Salman more than expected).
Fields of papers citing papers by David Salman
This network shows the impact of papers produced by David Salman. 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 Salman. The network helps show where David Salman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Salman, 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 | 2025 | 0 | |
| 2 | 2024 | 30 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 82 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 222 | |
| 19 | 2017 | 5 | |
| 20 | 2012 | 14 |
About David Salman
David Salman is a scholar working on Health Information Management, Rehabilitation, Neurology, Complementary and alternative medicine and Orthopedics and Sports Medicine, having authored 21 papers that have together received 445 indexed citations. Recurring topics across this work include Physical Activity and Health (5 papers), Long-Term Effects of COVID-19 (4 papers), Chronic Disease Management Strategies (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Delphi Technique in Research (3 papers), COVID-19 and Mental Health (3 papers), Medical Coding and Health Information (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Modeling and Simulation (81 citations), Health (59 citations), Health, Toxicology and Mutagenesis (82 citations), Neurology (78 citations) and General Health Professions (111 citations). David Salman has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include Thomas Beaney, Azeem Majeed, Jonathan Clarke, Vageesh Jain, Gemma Lyons, Alison H. McGregor, Peter Le Feuvre, Tianyu Zhou, Mark Griffiths and Simon J. Finney. Their work appears in journals such as BMJ Open, BMJ Open Sport & Exercise Medicine, BMJ, JMIR mhealth and uhealth and Diabetic Medicine.
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.