Daniel Schweitzer
Impact in
- Surgery top 10%
- Pelvic and Acetabular Injuries
- Hip and Femur Fractures
- Spinal Fractures and Fixation Techniques
- Hip disorders and treatments
Papers in
- Surgery 19
- Hip and Femur Fractures 11
- Pelvic and Acetabular Injuries 5
- Hip disorders and treatments 4
- Orthopaedic implants and arthroplasty 4
- Orthopedic Infections and Treatments 3
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- Cardiac, Anesthesia and Surgical Outcomes 3
- Co-authors
- Ianiv Klaber (14 shared papers)Tomás Zamora (10 shared papers)Julio Urrutia (4 shared papers)Matthias Kraus (4 shared papers)Daniel A. Keim (4 shared papers)Gonzalo Mora (1 shared paper)Pablo Besa (2 shared papers)Johannes Fuchs (3 shared papers)
In The Last Decade
Daniel Schweitzer
29 papers receiving 368 citations
Peers
Comparison fields: 5 of 72
- Surgery 286
- Internal Medicine 18
- Human-Computer Interaction 24
- Orthopedics and Sports Medicine 32
- Urology 20
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 96 | |
| 2 | 2012 | 32 | |
| 3 | 2020 | 28 | |
| 4 | 2012 | 27 | |
| 5 | 1995 | 24 | |
| 6 | 2018 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2004 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2016 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2015 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 4 |
About Daniel Schweitzer
Daniel Schweitzer is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Physiology, having authored 33 papers that have together received 380 indexed citations. Recurring topics across this work include Hip and Femur Fractures (11 papers), Pelvic and Acetabular Injuries (5 papers), Hip disorders and treatments (4 papers), Orthopaedic implants and arthroplasty (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Orthopedic Infections and Treatments (3 papers), Advanced X-ray and CT Imaging (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Surgery (286 citations), Internal Medicine (18 citations), Human-Computer Interaction (24 citations), Orthopedics and Sports Medicine (32 citations) and Urology (20 citations). Daniel Schweitzer has collaborated with scholars based in Chile, Australia and Germany. Frequent co-authors include Ianiv Klaber, Tomás Zamora, Julio Urrutia, Matthias Kraus, Daniel A. Keim, Gonzalo Mora, Pablo Besa, Johannes Fuchs, Michael Sedlmair and Pablo Wagner. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Injury, European Journal of Orthopaedic Surgery & Traumatology, Alzheimer s & Dementia and Geriatric Orthopaedic Surgery & Rehabilitation.
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.