Daniel Schweitzer
Impact in
- Surgery top 10%
- Pelvic and Acetabular Injuries
- Hip and Femur Fractures
- Spinal Fractures and Fixation Techniques
- Hip disorders and treatments
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
- Surgery 12
- Hip and Femur Fractures 6
- Pelvic and Acetabular Injuries 3
- Hip disorders and treatments 2
- Surgical Simulation and Training 1
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- Cardiac, Anesthesia and Surgical Outcomes 2
- Co-authors
- Ianiv Klaber (14 shared papers)Tomás Zamora (10 shared papers)Julio Urrutia (4 shared papers)Gonzalo Mora (1 shared paper)Matthias Kraus (4 shared papers)Daniel A. Keim (4 shared papers)Michael Sedlmair (2 shared papers)Johannes Fuchs (3 shared papers)
In The Last Decade
Daniel Schweitzer
30 papers receiving 381 citations
Peers
Comparison fields: 5 of 66
- Surgery 247
- Human-Computer Interaction 26
- Internal Medicine 11
- Health Informatics 3
- Orthopedics and Sports Medicine 15
Countries citing papers authored by Daniel Schweitzer
This map shows the geographic impact of Daniel Schweitzer'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 Schweitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schweitzer more than expected).
Fields of papers citing papers by Daniel Schweitzer
This network shows the impact of papers produced by Daniel Schweitzer. 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 Schweitzer. The network helps show where Daniel Schweitzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schweitzer, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 97 | |
| 2 | 2012 | 33 | |
| 3 | 2020 | 30 | |
| 4 | 2012 | 27 | |
| 5 | 1995 | 25 | |
| 6 | 2018 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2004 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2020 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2022 | 4 |
About Daniel Schweitzer
Daniel Schweitzer is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Physiology and Psychiatry and Mental health, having authored 34 papers that have together received 393 indexed citations. Recurring topics across this work include Hip and Femur Fractures (6 papers), Pelvic and Acetabular Injuries (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Hip disorders and treatments (2 papers), Cannabis and Cannabinoid Research (2 papers), Diet and metabolism studies (2 papers), Simulation-Based Education in Healthcare (1 paper) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Surgery (247 citations), Human-Computer Interaction (26 citations), Internal Medicine (11 citations), Health Informatics (3 citations) and Orthopedics and Sports Medicine (15 citations). Daniel Schweitzer has collaborated with scholars based in Chile, Australia and Germany. Frequent co-authors include Ianiv Klaber, Tomás Zamora, Julio Urrutia, Gonzalo Mora, Matthias Kraus, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs, Pablo Besa and Felipe Martínez. Their work appears in journals such as Injury, Neuroscience & Biobehavioral Reviews, European Journal of Orthopaedic Surgery & Traumatology, Geriatric Orthopaedic Surgery & Rehabilitation and International Psychogeriatrics.
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.