Klaus‐Peter Schulz
Impact in
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- Meta-analysis and systematic reviews
- Hepatology top 5%
Papers in
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- Innovative Education and Learning Practices 5
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- Sustainability in Higher Education 3
- Co-authors
- Morton E. Munk (3 shared papers)Jens Krzywinski (1 shared paper)Iris Grün-Wollny (1 shared paper)Serge Fotso (1 shared paper)Hartmut Laatsch (1 shared paper)Rajendra P. Maskey (1 shared paper)Martin Badertscher (1 shared paper)Patrick Fontana (1 shared paper)
- Journals
- Journal of Cleaner Production (2 papers)Management Learning (1 paper)Journal of Organizational Change Management (1 paper)Creativity and Innovation Management (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Klaus‐Peter Schulz
13 papers receiving 4.6k citations
Klaus‐Peter Schulz's Hit Papers
Peers
Comparison fields: 5 of 172
- Statistics, Probability and Uncertainty 731
- Hepatology 174
- Complementary and alternative medicine 186
- Statistics and Probability 160
- Psychiatry and Mental health 222
Countries citing papers authored by Klaus‐Peter Schulz
This map shows the geographic impact of Klaus‐Peter Schulz'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 Klaus‐Peter Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus‐Peter Schulz more than expected).
Fields of papers citing papers by Klaus‐Peter Schulz
This network shows the impact of papers produced by Klaus‐Peter Schulz. 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 Klaus‐Peter Schulz. The network helps show where Klaus‐Peter Schulz may publish in the future.
Co-authors
The 11 scholars most cited alongside Klaus‐Peter Schulz, 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 | Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials Hit paper breakdown → | 1995 | 4572 |
| 2 | 2003 | 56 | |
| 3 | 2015 | 53 | |
| 4 | 2000 | 25 | |
| 5 | 2005 | 24 | |
| 6 | 2010 | 23 | |
| 7 | 2008 | 21 | |
| 8 | 2018 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2012 | 7 | |
| 11 | 2017 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2010 | 1 |
About Klaus‐Peter Schulz
Klaus‐Peter Schulz is a scholar working on Human Factors and Ergonomics, Education, Organizational Behavior and Human Resource Management, Molecular Biology and Sociology and Political Science, having authored 13 papers that have together received 4.8k indexed citations. Recurring topics across this work include Innovative Education and Learning Practices (5 papers), Sustainability in Higher Education (3 papers), Molecular spectroscopy and chirality (2 papers), Design Education and Practice (2 papers), Creativity in Education and Neuroscience (2 papers), Organizational Learning and Leadership (2 papers), Innovation, Technology, and Society (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (731 citations), Hepatology (174 citations), Complementary and alternative medicine (186 citations), Statistics and Probability (160 citations) and Psychiatry and Mental health (222 citations). Klaus‐Peter Schulz has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Morton E. Munk, Jens Krzywinski, Iris Grün-Wollny, Serge Fotso, Hartmut Laatsch, Rajendra P. Maskey, Martin Badertscher, Patrick Fontana, Ernö Pretsch and Sandra Waddock. Their work appears in journals such as Journal of Cleaner Production, Management Learning, Journal of Organizational Change Management, Creativity and Innovation Management and Journal of Chemical Information and Modeling.
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.