Benjamin Skov Kaas‐Hansen
- Epidemiology
- Artificial Intelligence top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Critical Care and Intensive Care Medicine top 10%
- Co-authors
- Anders PernerHans‐Christian Thorsen‐MeyerSøren BrunakThomas StrømKirstine BellingAnna Pors NielsenAnnelaura Bach NielsenPiotr Jaroslaw Chmura
- Topics
- Sepsis Diagnosis and Treatment (13 papers)Statistical Methods in Clinical Trials (6 papers)Meta-analysis and systematic reviews (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesCritical Care Medicine
- Partner nations
- DenmarkUnited KingdomSweden
In The Last Decade
Benjamin Skov Kaas‐Hansen
31 papers receiving 445 citations
Peers
Comparison fields: 5 of 89
- Epidemiology 152
- Artificial Intelligence 121
- Surgery 72
- Cardiology and Cardiovascular Medicine 60
- Critical Care and Intensive Care Medicine 45
Countries citing papers authored by Benjamin Skov Kaas‐Hansen
This map shows the geographic impact of Benjamin Skov Kaas‐Hansen'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 Benjamin Skov Kaas‐Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Skov Kaas‐Hansen more than expected).
Fields of papers citing papers by Benjamin Skov Kaas‐Hansen
This network shows the impact of papers produced by Benjamin Skov Kaas‐Hansen. 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 Benjamin Skov Kaas‐Hansen. The network helps show where Benjamin Skov Kaas‐Hansen may publish in the future.
Co-authorship network of co-authors of Benjamin Skov Kaas‐Hansen
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Skov Kaas‐Hansen. A scholar is included among the top collaborators of Benjamin Skov Kaas‐Hansen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin Skov Kaas‐Hansen. Benjamin Skov Kaas‐Hansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 21 | |
| 19 | 196 | |
| 20 | 3 |
About Benjamin Skov Kaas‐Hansen
Benjamin Skov Kaas‐Hansen is a scholar working on Family Practice, Toxicology and Critical Care and Intensive Care Medicine, having authored 35 papers that have together received 447 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Statistical Methods in Clinical Trials (6 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Health Informatics (35 citations), Health Information Management (41 citations) and Critical Care and Intensive Care Medicine (45 citations). Benjamin Skov Kaas‐Hansen has collaborated with scholars based in Denmark, United Kingdom and Sweden. Frequent co-authors include Anders Perner, Hans‐Christian Thorsen‐Meyer, Søren Brunak, Thomas Strøm, Kirstine Belling, Anna Pors Nielsen, Annelaura Bach Nielsen, Piotr Jaroslaw Chmura, Palle Toft and Jens Schierbeck. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Critical Care Medicine.
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.