David Phillippo

26 papers receiving 1.1k citations

David Phillippo's Hit Papers

Twenty years of network meta‐analysis: Continuing controversies and recent developments 2024 · 46 citations
460+3+6Years since publication50100150200250

Peers

David Phillippo
Comparison fields: 5 of 98
  • Statistics and Probability 173
  • Statistics, Probability and Uncertainty 105
  • Dermatology 66
  • Hematology 82
  • Economics and Econometrics 161
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Beyza Doğanay Erdoğan Türkiye
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Countries citing papers authored by David Phillippo

Since Specialization
Citations

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

Fields of papers citing papers by David Phillippo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal
Hit paper breakdown →
2017251
2
NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE
2016131
3 202095
4 202184
5 202381
6 201966
7
NICE DSU Technical Support Document 18
201161
8 202251
9 202048
10
Twenty years of network meta‐analysis: Continuing controversies and recent developments
Hit paper breakdown →
202446
11 201946
12 201736
13 202129
14 202222
15 202418
16 202017
17 202116
18 20228
19 20218
20 20257

About David Phillippo

David Phillippo is a scholar working on Economics and Econometrics, Statistics, Probability and Uncertainty, Statistics and Probability, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Meta-analysis and systematic reviews (7 papers), Advanced Causal Inference Techniques (5 papers), Statistical Methods in Clinical Trials (4 papers), Mental Health Research Topics (3 papers), Smoking Behavior and Cessation (3 papers), Healthcare cost, quality, practices (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Statistics and Probability (173 citations), Statistics, Probability and Uncertainty (105 citations), Dermatology (66 citations), Hematology (82 citations) and Economics and Econometrics (161 citations). David Phillippo has collaborated with scholars based in United Kingdom, Germany and Canada. Frequent co-authors include Nicky J. Welton, Sofia Dias, A. E. Ades, Stephen Palmer, Keith R. Abrams, Deborah M Caldwell, Michael N Dalili, José A López-López, Marcus R. Munafò and Matt Stevenson. Their work appears in journals such as Research Synthesis Methods, Journal of the Royal Statistical Society Series A (Statistics in Society), Health Technology Assessment, Medical Decision Making and Value in Health.

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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