Klaus‐Peter Schulz

6.0k citations
17 papers · 4.9k · 1 hit paper · h-index 9

Impact in

Papers in

Klaus‐Peter Schulz

15 papers receiving 4.7k citations

Klaus‐Peter Schulz's Hit Papers

Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials 1995 · 4.7k citations
4.7k0+10+20Years since publication10002.0k3.0k4.0k

Peers

Klaus‐Peter Schulz
Comparison fields: 5 of 174
  • Statistics, Probability and Uncertainty 758
  • Complementary and alternative medicine 199
  • Hepatology 174
  • Statistics and Probability 167
  • Psychiatry and Mental health 243
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Citations per year

Countries citing papers authored by Klaus‐Peter Schulz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Klaus‐Peter Schulz Line = papers co-authored together Klaus‐Peter Schulz links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials
Hit paper breakdown →
19954671
2 200357
3 201557
4 200528
5 200027
6 201025
7 200823
8 201813
9 201611
10 20127
11 20146
12 20174
13 20102
14 20241
15 19911
16
AGB der Anbieter von Telekommunikationsdienstleistungen für die Öffentlichkeit
19980
17
Opposition als politisches Schicksal
19580

About Klaus‐Peter Schulz

Klaus‐Peter Schulz is a scholar working on Human Factors and Ergonomics, Sociology and Political Science, Education, Organizational Behavior and Human Resource Management and Molecular Biology, having authored 17 papers that have together received 4.9k 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), Information Systems Theories and Implementation (2 papers), Creativity in Education and Neuroscience (2 papers), Organizational Learning and Leadership (2 papers) and Innovation, Technology, and Society (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (758 citations), Complementary and alternative medicine (199 citations), Hepatology (174 citations), Statistics and Probability (167 citations) and Psychiatry and Mental health (243 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, Rajendra P. Maskey, Hartmut Laatsch, Serge Fotso, Ernö Pretsch, Patrick Fontana, Martin Badertscher and Sandra Waddock. Their work appears in journals such as Journal of Cleaner Production, Creativity and Innovation Management, The Learning Organization, Journal of Chemical Information and Modeling and Journal of Workplace Learning.

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.

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