Mathias Kaspar
Impact in
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- Heart Failure Treatment and Management
- Health Information Management top 10%
Papers in
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- Machine Learning in Healthcare 4
- Semantic Web and Ontologies 3
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- Cerebrovascular and Carotid Artery Diseases 5
- Co-authors
- Daniel Staub (7 shared papers)Arend F. L. Schinkel (1 shared paper)Stefan Störk (13 shared papers)M. Anton Ertl (16 shared papers)Georg Fette (17 shared papers)Frank Puppe (18 shared papers)Lea K. Seidlmayer (7 shared papers)Georg Dietrich (15 shared papers)
- Journals
- Methods of Information in Medicine (3 papers)BMC Medical Informatics and Decision Making (2 papers)Journal of Digital Imaging (2 papers)European Journal of Heart Failure (2 papers)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Mathias Kaspar
51 papers receiving 509 citations
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 112
- Health Information Management 17
- Pulmonary and Respiratory Medicine 97
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Mathias Kaspar
This map shows the geographic impact of Mathias Kaspar'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 Mathias Kaspar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Kaspar more than expected).
Fields of papers citing papers by Mathias Kaspar
This network shows the impact of papers produced by Mathias Kaspar. 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 Mathias Kaspar. The network helps show where Mathias Kaspar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Kaspar, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 69 | |
| 2 | 2016 | 49 | |
| 3 | 2019 | 37 | |
| 4 | 2013 | 34 | |
| 5 | 2018 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2017 | 26 | |
| 8 | 2006 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2010 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2019 | 6 |
About Mathias Kaspar
Mathias Kaspar is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Computer Networks and Communications, having authored 55 papers that have together received 516 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Biomedical Text Mining and Ontologies (5 papers), Distributed and Parallel Computing Systems (5 papers), Data Quality and Management (4 papers), Scientific Computing and Data Management (4 papers), Machine Learning in Healthcare (4 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (112 citations), Health Information Management (17 citations), Pulmonary and Respiratory Medicine (97 citations), Health Informatics (4 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Mathias Kaspar has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Daniel Staub, Arend F. L. Schinkel, Stefan Störk, M. Anton Ertl, Georg Fette, Frank Puppe, Lea K. Seidlmayer, Georg Dietrich, Sasan Partovi and Jonathan C. Silverstein. Their work appears in journals such as Methods of Information in Medicine, BMC Medical Informatics and Decision Making, Journal of Digital Imaging, European Journal of Heart Failure and Journal of the American Medical Informatics Association.
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.