David P. Larson
Impact in
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics
Papers in
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- Solar Radiation and Photovoltaics 6
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- Healthcare professionals’ stress and burnout 3
- Co-authors
- Carlos F.M. Coimbra (4 shared papers)Lukas Nonnenmacher (1 shared paper)Hugo T.C. Pedro (1 shared paper)Benjamin C. Noonan (1 shared paper)Bryan Bohman (1 shared paper)Mickey Trockel (1 shared paper)Tait D. Shanafelt (1 shared paper)Mengying Li (1 shared paper)
- Journals
- Otolaryngology (2 papers)Journal of Solar Energy Engineering (1 paper)The Journal of Strength and Conditioning Research (1 paper)Solar Energy (1 paper)Mayo Clinic Proceedings (1 paper)
- Partner nations
- United States
In The Last Decade
David P. Larson
11 papers receiving 374 citations
Peers
Comparison fields: 5 of 61
- Renewable Energy, Sustainability and the Environment 204
- Artificial Intelligence 273
- Electrical and Electronic Engineering 198
- Energy Engineering and Power Technology 10
- Gender Studies 20
Countries citing papers authored by David P. Larson
This map shows the geographic impact of David P. Larson'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 P. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Larson more than expected).
Fields of papers citing papers by David P. Larson
This network shows the impact of papers produced by David P. Larson. 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 P. Larson. The network helps show where David P. Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside David P. Larson, 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 | 2016 | 178 | |
| 2 | 2019 | 111 | |
| 3 | 2023 | 33 | |
| 4 | 2018 | 13 | |
| 5 | 2020 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2014 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 1991 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 0 |
About David P. Larson
David P. Larson is a scholar working on Artificial Intelligence, General Health Professions, Public Health, Environmental and Occupational Health, Renewable Energy, Sustainability and the Environment and Gender Studies, having authored 12 papers that have together received 388 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (6 papers), Photovoltaic System Optimization Techniques (3 papers), Healthcare professionals’ stress and burnout (3 papers), Innovations in Medical Education (3 papers), Diversity and Career in Medicine (2 papers), Energy Load and Power Forecasting (2 papers), Urban Heat Island Mitigation (1 paper) and Atmospheric aerosols and clouds (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (204 citations), Artificial Intelligence (273 citations), Electrical and Electronic Engineering (198 citations), Energy Engineering and Power Technology (10 citations) and Gender Studies (20 citations). David P. Larson has collaborated with scholars based in United States. Frequent co-authors include Carlos F.M. Coimbra, Lukas Nonnenmacher, Hugo T.C. Pedro, Benjamin C. Noonan, Bryan Bohman, Mickey Trockel, Tait D. Shanafelt, Mengying Li, Hanhan Wang and Dale C. Ekbom. Their work appears in journals such as Otolaryngology, Journal of Solar Energy Engineering, The Journal of Strength and Conditioning Research, Solar Energy and Mayo Clinic Proceedings.
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.