Alun Bedding

28 papers receiving 1.3k citations

Alun Bedding's Hit Papers

Adaptive designs in clinical trials: why use them, and how to run and report them 2018 · 463 citations
4630+2+5Years since publication100200300400

Peers

Alun Bedding
Comparison fields: 5 of 117
  • Statistics and Probability 322
  • Psychiatry and Mental health 280
  • Urology 111
  • Endocrinology, Diabetes and Metabolism 164
  • Statistics, Probability and Uncertainty 61
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Countries citing papers authored by Alun Bedding

Since Specialization
Citations

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

Fields of papers citing papers by Alun Bedding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive designs in clinical trials: why use them, and how to run and report them
Hit paper breakdown →
2018463
2 2005234
3 2004129
4 200574
5 201767
6 201956
7 200650
8 201448
9 200640
10 200528
11 200525
12 202220
13 201918
14 200517
15 201517
16 200216
17 202011
18 20069
19 20189
20 20028

About Alun Bedding

Alun Bedding is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Immunology and Computational Theory and Mathematics, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (7 papers), Biosimilars and Bioanalytical Methods (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Computational Drug Discovery Methods (3 papers), Sexual function and dysfunction studies (3 papers), Advanced Causal Inference Techniques (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Statistics and Probability (322 citations), Psychiatry and Mental health (280 citations), Urology (111 citations), Endocrinology, Diabetes and Metabolism (164 citations) and Statistics, Probability and Uncertainty (61 citations). Alun Bedding has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Malcolm I. Mitchell, S. Thomas Forgue, Beverley Patterson, Diane L. Phillips, Christopher D. Payne, Rebecca E. Wrishko, Thomas Jaki, Christopher J. Weir, Graham Wheeler and Christina Yap. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, British Journal of Clinical Pharmacology, Journal of the American College of Cardiology, Pharmaceutical Statistics and Drug Information Journal.

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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