Ken Schulz
Impact in
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- Meta-analysis and systematic reviews
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Meta-analysis and systematic reviews 6
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- Complementary and Alternative Medicine Studies 1
- Co-authors
- Douglas G. Altman (5 shared papers)David Moher (5 shared papers)Iveta Simera (3 shared papers)John Hoey (3 shared papers)Helen V Worthington (1 shared paper)Ian G. Needleman (1 shared paper)Chris A. Silagy (1 shared paper)Peter Fisher (1 shared paper)
- Journals
- The Lancet (1 paper)International Journal of Technology Assessment in Health Care (1 paper)Revista Española de Nutrición Humana y Dietética (1 paper)PubMed (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Ken Schulz
7 papers receiving 572 citations
Peers
Comparison fields: 5 of 75
- Statistics, Probability and Uncertainty 241
- Health Informatics 21
- Complementary and alternative medicine 74
- Orthodontics 26
- Information Systems and Management 30
Countries citing papers authored by Ken Schulz
This map shows the geographic impact of Ken 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 Ken Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Schulz more than expected).
Fields of papers citing papers by Ken Schulz
This network shows the impact of papers produced by Ken 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 Ken Schulz. The network helps show where Ken Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken 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 | 2008 | 259 | |
| 2 | EQUATOR: reporting guidelines for health research. | 2008 | 204 |
| 3 | 1997 | 81 | |
| 4 | Improving the completeness and transparency of reports of randomized trials in oral health: the CONSORT statement. | 2008 | 55 |
| 5 | The EQUATOR Network: Enhancing the quality and transparency of health research through the use of reporting guidelines | 2008 | 14 |
| 6 | SPIRIT 2013 statement: Defining standard protocol items for clinical trials | 2017 | 7 |
| 7 | Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement [in Spanish] | 2014 | 3 |
About Ken Schulz
Ken Schulz is a scholar working on Statistics, Probability and Uncertainty, Complementary and alternative medicine, Statistics and Probability, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 623 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Complementary and Alternative Medicine Studies (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (241 citations), Health Informatics (21 citations), Complementary and alternative medicine (74 citations), Orthodontics (26 citations) and Information Systems and Management (30 citations). Ken Schulz has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Douglas G. Altman, David Moher, Iveta Simera, John Hoey, Helen V Worthington, Ian G. Needleman, Chris A. Silagy, Peter Fisher, Barrie R. Cassileth and George T. Lewith. Their work appears in journals such as The Lancet, International Journal of Technology Assessment in Health Care, Revista Española de Nutrición Humana y Dietética, PubMed and DOAJ (DOAJ: Directory of Open Access Journals).
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.