Bernhard Schipp
Impact in
- Urology top 10%
- Urinary Bladder and Prostate Research
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- Venous Thromboembolism Diagnosis and Management
Papers in
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- Complex Systems and Time Series Analysis 2
- Market Dynamics and Volatility 2
- Regional Economic and Spatial Analysis 1
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- Statistical Methods and Inference 3
- Co-authors
- K. F. Klippel (1 shared paper)Rodrigo Herrera (2 shared papers)Jerzy K. Baksalary (1 shared paper)Jan F. Kiviet (2 shared papers)Garry D.A. Phillips (2 shared papers)Shuangzhe Liu (1 shared paper)Arturo Tamayo (1 shared paper)Götz Trenkler (2 shared papers)
- Journals
- Journal of Economic Dynamics and Control (1 paper)Journal of Empirical Finance (1 paper)Diabetologia (1 paper)Journal of Econometrics (1 paper)Linear Algebra and its Applications (1 paper)
- Partner nations
- GermanyNetherlandsChile
In The Last Decade
Bernhard Schipp
12 papers receiving 241 citations
Peers
Comparison fields: 5 of 93
- Urology 37
- Internal Medicine 17
- Finance 35
- Economics and Econometrics 62
- Complementary and alternative medicine 17
Countries citing papers authored by Bernhard Schipp
This map shows the geographic impact of Bernhard Schipp'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 Bernhard Schipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Schipp more than expected).
Fields of papers citing papers by Bernhard Schipp
This network shows the impact of papers produced by Bernhard Schipp. 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 Bernhard Schipp. The network helps show where Bernhard Schipp may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Schipp, 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 | 1997 | 117 | |
| 2 | 2013 | 32 | |
| 3 | 1992 | 22 | |
| 4 | 2021 | 15 | |
| 5 | 2009 | 15 | |
| 6 | 2014 | 15 | |
| 7 | 1995 | 13 | |
| 8 | 1993 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 1999 | 7 | |
| 11 | 1988 | 3 | |
| 12 | 2022 | 1 | |
| 13 | 2010 | 1 |
About Bernhard Schipp
Bernhard Schipp is a scholar working on Economics and Econometrics, Statistics and Probability, Cardiology and Cardiovascular Medicine, Finance and Internal Medicine, having authored 13 papers that have together received 262 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Financial Risk and Volatility Modeling (2 papers), Complex Systems and Time Series Analysis (2 papers), Matrix Theory and Algorithms (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Market Dynamics and Volatility (2 papers), Regional Economic and Spatial Analysis (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Urology (37 citations), Internal Medicine (17 citations), Finance (35 citations), Economics and Econometrics (62 citations) and Complementary and alternative medicine (17 citations). Bernhard Schipp has collaborated with scholars based in Germany, Netherlands and Chile. Frequent co-authors include K. F. Klippel, Rodrigo Herrera, Jerzy K. Baksalary, Jan F. Kiviet, Garry D.A. Phillips, Shuangzhe Liu, Arturo Tamayo, Götz Trenkler, Timo Siepmann and Heinz Neudecker. Their work appears in journals such as Journal of Economic Dynamics and Control, Journal of Empirical Finance, Diabetologia, Journal of Econometrics and Linear Algebra and its Applications.
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.