Siw Waffenschmidt

26 papers receiving 956 citations

Siw Waffenschmidt's Hit Papers

PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews 2021 · 219 citations
2190+2+4Years since publication100200300

Peers

Siw Waffenschmidt
Comparison fields: 5 of 150
  • Statistics, Probability and Uncertainty 188
  • Health Informatics 23
  • General Health Professions 220
  • Applied Psychology 33
  • History and Philosophy of Science 26
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David Tovey United Kingdom
Victoria Borg Debono Canada
John D. Ivory Ireland
Gordon Dooley United Kingdom
Michelle Pollock Canada
Carole Lunny Canada
Andreea Dobrescu Austria
Chris Kamel Canada
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Chris Mavergames United Kingdom
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Citations per year

Countries citing papers authored by Siw Waffenschmidt

Since Specialization
Citations

This map shows the geographic impact of Siw Waffenschmidt'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 Siw Waffenschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siw Waffenschmidt more than expected).

Fields of papers citing papers by Siw Waffenschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siw Waffenschmidt. 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 Siw Waffenschmidt. The network helps show where Siw Waffenschmidt may publish in the future.

Co-authors

The 25 scholars most cited alongside Siw Waffenschmidt, 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 Siw Waffenschmidt Line = papers co-authored together Siw Waffenschmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review
Hit paper breakdown →
2019330
2
PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews
Hit paper breakdown →
2021219
3 201384
4 201274
5 202346
6 201440
7 201327
8 201627
9 202023
10 202015
11 201612
12 202311
13 20179
14 20169
15 20199
16 20189
17 20156
18 20255
19 20234
20 20204

About Siw Waffenschmidt

Siw Waffenschmidt is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Economics and Econometrics, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 27 papers that have together received 978 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (16 papers), Statistical Methods in Clinical Trials (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Clinical practice guidelines implementation (4 papers), Delphi Technique in Research (4 papers), Healthcare cost, quality, practices (2 papers), Reliability and Agreement in Measurement (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (188 citations), Health Informatics (23 citations), General Health Professions (220 citations), Applied Psychology (33 citations) and History and Philosophy of Science (26 citations). Siw Waffenschmidt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Marco Knelangen, Wiebke Sieben, Stefanie Bühn, Dawid Pieper, Elke Hausner, Jonathan Koffel, Shona Kirtley, Melissa L. Rethlefsen, Ana Patricia Ayala and David Moher. Their work appears in journals such as Systematic Reviews, Journal of Clinical Epidemiology, BMC Medical Research Methodology, Research Synthesis Methods and International Journal of Technology Assessment in Health Care.

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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