M. Schemper
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 26
- Statistical Methods and Bayesian Inference 18
- Advanced Statistical Methods and Models 14
- Statistical Methods in Clinical Trials 12
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
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- Peripheral Artery Disease Management 12
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- Breast Cancer Treatment Studies 11
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- Venous Thromboembolism Diagnosis and Management 11
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- Ovarian cancer diagnosis and treatment 9
M. Schemper
177 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Cardiology and Cardiovascular Medicine 2.6k
- Statistics and Probability 919
- Pulmonary and Respiratory Medicine 2.3k
- Endocrine and Autonomic Systems 439
- Oncology 1.7k
Countries citing papers authored by M. Schemper
This map shows the geographic impact of M. Schemper'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 M. Schemper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Schemper more than expected).
Fields of papers citing papers by M. Schemper
This network shows the impact of papers produced by M. Schemper. 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 M. Schemper. The network helps show where M. Schemper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Schemper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 37 | |
| 2 | 2006 | 322 | |
| 3 | 2004 | 10 | |
| 4 | 2003 | 93 | |
| 5 | 2003 | 116 | |
| 6 | Predictors of Outcome in Severe, Asymptomatic Aortic Stenosisbreakdown → | 2000 | 898 |
| 7 | 1996 | 54 | |
| 8 | 1994 | 17 | |
| 9 | 1992 | 1 | |
| 10 | 1992 | 8 | |
| 11 | 1992 | 2 | |
| 12 | 1991 | 1 | |
| 13 | 1991 | 1 | |
| 14 | 1990 | 22 | |
| 15 | 1989 | 1 | |
| 16 | 1987 | 67 | |
| 17 | 1987 | 3 | |
| 18 | [Breast cancer in Austria: epidemiology and risk factors]. | 1986 | 2 |
| 19 | 1986 | 3 | |
| 20 | 1985 | 14 |
About M. Schemper
M. Schemper is a scholar working on Statistics and Probability, Internal Medicine, Reproductive Medicine, Cancer Research and Surgery, having authored 186 papers that have together received 11.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Statistical Methods and Bayesian Inference (18 papers), Advanced Statistical Methods and Models (14 papers), Statistical Methods in Clinical Trials (12 papers), Peripheral Artery Disease Management (12 papers), Breast Cancer Treatment Studies (11 papers), Venous Thromboembolism Diagnosis and Management (11 papers) and Ovarian cancer diagnosis and treatment (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.6k citations), Statistics and Probability (919 citations), Pulmonary and Respiratory Medicine (2.3k citations), Endocrine and Autonomic Systems (439 citations) and Oncology (1.7k citations). M. Schemper has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Georg Heinze, Terry L. Smith, Gerald Maurer, Raphaël Rosenhek, Helmut Baumgartner, Thomas Binder, Iréne Lang, Harald Gabriel, Gerold Porenta and G Christ. Their work appears in journals such as Statistics in Medicine, Biometrical Journal, Biometrika, Biometrics and Circulation.
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.