Dawid Pieper

12.7k total citations · 6 hit papers
228 papers, 7.2k citations indexed

About

Dawid Pieper is a scholar working on Statistics, Probability and Uncertainty, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Dawid Pieper has authored 228 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Statistics, Probability and Uncertainty, 69 papers in General Health Professions and 54 papers in Economics and Econometrics. Recurrent topics in Dawid Pieper's work include Meta-analysis and systematic reviews (90 papers), Health Systems, Economic Evaluations, Quality of Life (50 papers) and Delphi Technique in Research (48 papers). Dawid Pieper is often cited by papers focused on Meta-analysis and systematic reviews (90 papers), Health Systems, Economic Evaluations, Quality of Life (50 papers) and Delphi Technique in Research (48 papers). Dawid Pieper collaborates with scholars based in Germany, Canada and Croatia. Dawid Pieper's co-authors include Tim Mathes, Michaela Eikermann, Sunya‐Lee Antoine, Edmund Neugebauer, Livia Puljak, Tanja Rombey, Johannes Morche, Andrea C. Tricco, Stefanie Bühn and Wiebke Sieben and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Dawid Pieper

209 papers receiving 7.1k citations

Hit Papers

Recommendations for the ext... 2014 2026 2018 2022 2022 2014 2022 2019 2020 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dawid Pieper Germany 42 1.6k 1.2k 1.2k 876 782 228 7.2k
Steven A. Julious United Kingdom 39 1.4k 0.9× 1.1k 0.9× 1.5k 1.3× 888 1.0× 1.1k 1.4× 157 9.7k
Carrol Gamble United Kingdom 46 1.4k 0.9× 2.0k 1.7× 2.2k 1.9× 793 0.9× 1.3k 1.6× 168 8.7k
Kerry Dwan United Kingdom 37 713 0.5× 1.7k 1.4× 1.2k 1.0× 694 0.8× 878 1.1× 107 7.2k
Neil Andersson Mexico 36 2.4k 1.5× 739 0.6× 1.6k 1.4× 638 0.7× 681 0.9× 245 8.4k
Carol Lefebvre United States 30 1.6k 1.0× 1.3k 1.1× 1.2k 1.1× 972 1.1× 557 0.7× 72 8.1k
Jessie McGowan Canada 34 1.8k 1.2× 701 0.6× 1.3k 1.2× 1.7k 2.0× 522 0.7× 75 9.4k
Virginia Barbour United Kingdom 19 2.1k 1.4× 595 0.5× 1.6k 1.4× 603 0.7× 538 0.7× 94 7.8k
Elizabeth Kristjansson Canada 32 2.4k 1.5× 996 0.8× 2.1k 1.8× 1.6k 1.8× 818 1.0× 95 11.3k
Elise Cogo Canada 21 1.3k 0.9× 480 0.4× 1.1k 1.0× 606 0.7× 399 0.5× 34 5.8k
Roberta W. Scherer United States 34 936 0.6× 1.9k 1.6× 1.3k 1.1× 876 1.0× 687 0.9× 95 7.4k

Countries citing papers authored by Dawid Pieper

Since Specialization
Citations

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

Fields of papers citing papers by Dawid Pieper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawid Pieper

This figure shows the co-authorship network connecting the top 25 collaborators of Dawid Pieper. A scholar is included among the top collaborators of Dawid Pieper based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dawid Pieper. Dawid Pieper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Könsgen, Nadja, et al.. (2025). Content and quality of smartphone applications for bariatric surgery: A review and content analysis. PEC Innovation. 6. 100391–100391. 1 indexed citations
3.
Ying, Xiangji, Konstantinos I. Bougioukas, Dawid Pieper, & Evan Mayo‐Wilson. (2025). Weighted corrected covered area (wCCA): A measure of informational overlap among reviews. Research Synthesis Methods. 16(4). 701–708. 1 indexed citations
4.
Hirt, Julian, et al.. (2024). Use and application of geographical restrictions in systematic reviews with the aim of including studies about Germany: An update of a methodological review. Health Information & Libraries Journal. 41(4). 339–359. 1 indexed citations
5.
Pollock, Danielle, Catrin Evans, Lyndsay Alexander, et al.. (2024). “How-to”: scoping review?. Journal of Clinical Epidemiology. 176. 111572–111572. 23 indexed citations
6.
Alexander, Lyndsay, Kay Cooper, Micah D.J. Peters, et al.. (2024). Large scoping reviews: managing volume and potential chaos in a pool of evidence sources. Journal of Clinical Epidemiology. 170. 111343–111343. 12 indexed citations
7.
Muehlensiepen, Felix, et al.. (2024). Systems for electronic documentation and sharing of advance care planning preferences: a scoping review. Progress in Palliative Care. 32(3). 149–159. 3 indexed citations
8.
Hirt, Julian, et al.. (2024). Development and validation of a geographic search filter for MEDLINE (PubMed) to identify studies about Germany. Research Synthesis Methods. 15(6). 1147–1160. 1 indexed citations
9.
Mathes, Tim, et al.. (2024). Interrupted time series for assessing the causality of intervention effects. Deutsches Ärzteblatt international. 121(24). 800–804. 2 indexed citations
10.
Pieper, Dawid, et al.. (2024). A methodological review identified several options for utilizing registries for randomized controlled trials. Journal of Clinical Epidemiology. 178. 111614–111614.
11.
Santis, Karina Karolina De, Dawid Pieper, Robert C. Lorenz, et al.. (2023). User experience of applying AMSTAR 2 to appraise systematic reviews of healthcare interventions: a commentary. BMC Medical Research Methodology. 23(1). 63–63. 13 indexed citations
12.
Puljak, Livia, Małgorzata M Bała, Tim Mathes, et al.. (2023). AMSTAR 2 is only partially applicable to systematic reviews of non-intervention studies: a meta-research study. Journal of Clinical Epidemiology. 163. 11–20. 10 indexed citations
14.
Nørgaard, Birgitte, Matthias Briel, Danijela Ristić-Medić, et al.. (2022). A systematic review of meta-research studies finds substantial methodological heterogeneity in citation analyses to monitor evidence-based research. Journal of Clinical Epidemiology. 150. 126–141. 4 indexed citations
15.
Lunny, Carole, et al.. (2021). Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews. BMC Medical Research Methodology. 21(1). 118 indexed citations
16.
Barčot, Ognjen, et al.. (2021). Enhanced access to recommendations from the Cochrane Handbook for improving authors' judgments about risk of bias: A randomized controlled trial. Research Synthesis Methods. 12(5). 618–629. 13 indexed citations
17.
Prediger, Barbara, Nadja Könsgen, Sebastian Liersch, et al.. (2021). Second opinion programmes in Germany: a mixed-methods study protocol. BMJ Open. 11(2). e045264–e045264. 9 indexed citations
18.
Becker, Monika, Jessica Breuing, Monika Nothacker, et al.. (2019). Guideline-based quality indicators—a systematic comparison of German and international clinical practice guidelines. Implementation Science. 14(1). 71–71. 10 indexed citations
19.

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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