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)Hanhan Wang (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)
- Journals
- Otolaryngology (2 papers)Renewable Energy (1 paper)Solar Energy (1 paper)Journal of Solar Energy Engineering (1 paper)JAMA Otolaryngology–Head & Neck Surgery (1 paper)
- Partner nations
- United States
In The Last Decade
David P. Larson
11 papers receiving 400 citations
Peers
Comparison fields: 5 of 53
- Renewable Energy, Sustainability and the Environment 208
- Artificial Intelligence 286
- Electrical and Electronic Engineering 205
- Energy Engineering and Power Technology 10
- General Health Professions 37
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 | 187 | |
| 2 | 2019 | 117 | |
| 3 | 2023 | 39 | |
| 4 | 2019 | 14 | |
| 5 | 2018 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2014 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 1991 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 0 |
About David P. Larson
David P. Larson is a scholar working on Artificial Intelligence, General Health Professions, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 413 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (6 papers), Healthcare professionals’ stress and burnout (3 papers), Photovoltaic System Optimization Techniques (3 papers), Energy Load and Power Forecasting (2 papers), Mechanical Engineering and Vibrations Research (1 paper), Atmospheric aerosols and clouds (1 paper), Solar Thermal and Photovoltaic Systems (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (208 citations), Artificial Intelligence (286 citations), Electrical and Electronic Engineering (205 citations), Energy Engineering and Power Technology (10 citations) and General Health Professions (37 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, Hanhan Wang, Benjamin C. Noonan, Bryan Bohman, Mickey Trockel, Tait D. Shanafelt, Mengying Li and Dale C. Ekbom. Their work appears in journals such as Otolaryngology, Renewable Energy, Solar Energy, Journal of Solar Energy Engineering and JAMA Otolaryngology–Head & Neck Surgery.
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.