Daniel D. Holst
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Surgery top 10%
- Surgical Simulation and Training
Papers in
- Urology 3
- Urological Disorders and Treatments 3
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- Kidney Stones and Urolithiasis Treatments 3
- Renal cell carcinoma treatment 1
- Sarcoma Diagnosis and Treatment 1
- Prostate Cancer Diagnosis and Treatment 1
- Co-authors
- Lee W. White (5 shared papers)Thomas Sean Lendvay (5 shared papers)Timothy M. Kowalewski (4 shared papers)Timothy C. Brand (3 shared papers)Jonathan D. Harper (3 shared papers)Cecilia Aragón (1 shared paper)Rajesh K Aggarwal (1 shared paper)Carolyn G. Chen (1 shared paper)
- Journals
- Journal of Endourology (4 papers)Urology (3 papers)Journal of the American College of Surgeons (2 papers)Current Opinion in Urology (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- United StatesEthiopiaUnited Kingdom
In The Last Decade
Daniel D. Holst
13 papers receiving 397 citations
Peers
Comparison fields: 5 of 39
- Computer Science Applications 32
- Surgery 230
- Pulmonary and Respiratory Medicine 82
- Urology 17
- Public Health, Environmental and Occupational Health 43
Countries citing papers authored by Daniel D. Holst
This map shows the geographic impact of Daniel D. Holst'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 Daniel D. Holst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Holst more than expected).
Fields of papers citing papers by Daniel D. Holst
This network shows the impact of papers produced by Daniel D. Holst. 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 Daniel D. Holst. The network helps show where Daniel D. Holst may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Holst, 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 | 2013 | 147 | |
| 2 | 2014 | 75 | |
| 3 | 2015 | 74 | |
| 4 | 2001 | 46 | |
| 5 | 2018 | 36 | |
| 6 | 2020 | 12 | |
| 7 | 2014 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 2 | |
| 11 | 2014 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2018 | 0 |
About Daniel D. Holst
Daniel D. Holst is a scholar working on Urology, Pulmonary and Respiratory Medicine, Surgery, Genetics and Nuclear Energy and Engineering, having authored 14 papers that have together received 414 indexed citations. Recurring topics across this work include Surgical Simulation and Training (5 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Urological Disorders and Treatments (3 papers), Renal cell carcinoma treatment (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Computer Science Applications (32 citations), Surgery (230 citations), Pulmonary and Respiratory Medicine (82 citations), Urology (17 citations) and Public Health, Environmental and Occupational Health (43 citations). Daniel D. Holst has collaborated with scholars based in United States, Ethiopia and United Kingdom. Frequent co-authors include Lee W. White, Thomas Sean Lendvay, Timothy M. Kowalewski, Timothy C. Brand, Jonathan D. Harper, Cecilia Aragón, Rajesh K Aggarwal, Carolyn G. Chen, Bryan A. Comstock and Chris Lintott. Their work appears in journals such as Journal of Endourology, Urology, Journal of the American College of Surgeons, Current Opinion in Urology and Journal of Surgical Research.
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.