Christopher Haas
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Equine top 10%
- Veterinary Equine Medical Research
Papers in
- Surgery 13
- Esophageal and GI Pathology 2
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- COVID-19 Clinical Research Studies 3
- Parvovirus B19 Infection Studies 2
- Co-authors
- Itzhak Fischer (2 shared papers)Stanley M. Burstein (1 shared paper)Joseph F. Bonner (1 shared paper)Priyanka Kanth (1 shared paper)Robert De La Paz (2 shared papers)Julien Bouyer (1 shared paper)Ying Jin (1 shared paper)Jörg A. Auer (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (2 papers)Medical Physics (1 paper)Telemedicine Journal and e-Health (1 paper)Experimental Neurology (1 paper)The Journal of Urology (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Christopher Haas
43 papers receiving 220 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 15
- Equine 11
- Neurology 40
- Developmental Neuroscience 10
- Classics 8
Countries citing papers authored by Christopher Haas
This map shows the geographic impact of Christopher Haas'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 Christopher Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Haas more than expected).
Fields of papers citing papers by Christopher Haas
This network shows the impact of papers produced by Christopher Haas. 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 Christopher Haas. The network helps show where Christopher Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Haas, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 29 | |
| 2 | 2013 | 22 | |
| 3 | 2024 | 19 | |
| 4 | 1998 | 17 | |
| 5 | 2020 | 13 | |
| 6 | 2001 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Christopher Haas
Christopher Haas is a scholar working on Surgery, Infectious Diseases, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 59 papers that have together received 234 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Parvovirus B19 Infection Studies (2 papers), Herpesvirus Infections and Treatments (2 papers), Platelet Disorders and Treatments (2 papers), Esophageal and GI Pathology (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Health Informatics (15 citations), Equine (11 citations), Neurology (40 citations), Developmental Neuroscience (10 citations) and Classics (8 citations). Christopher Haas has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Itzhak Fischer, Stanley M. Burstein, Joseph F. Bonner, Priyanka Kanth, Robert De La Paz, Julien Bouyer, Ying Jin, Jörg A. Auer, U Geissbühler and Haider Naqvi. Their work appears in journals such as Journal of the American Academy of Dermatology, Medical Physics, Telemedicine Journal and e-Health, Experimental Neurology and The Journal of Urology.
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.