Keith R. Abrams

32.2k citations
332 papers · 22.8k indexed · 9 hit papers · h-index 76

Keith R. Abrams

320 papers receiving 22.0k citations

Hit Papers

Ethnicity and clinica...39620032026201020184008001.2k

Peers

Keith R. Abrams
Comparison fields: 5 of 221
  • Statistics, Probability and Uncertainty 2.5k
  • Statistics and Probability 2.7k
  • Economics and Econometrics 3.1k
  • Epidemiology 3.5k
  • Obstetrics and Gynecology 664
Replace A. E. Ades with:
A. E. Ades United Kingdom
Nicky J. Welton United Kingdom
Georgia Salanti Switzerland
Kay Dickersin United States
Stephen D. Walter Canada
Simon G. Thompson United Kingdom
Colin B. Begg United States
Paula Williamson United Kingdom
Jesse A. Berlin United States
Richard D Riley United Kingdom
Keith R. Abrams relative to A. E. Ades United Kingdom A. E. Ades's profile →
Citations per field
00.5×1.5×
A. E. Ades · 1×
Citations per year

Countries citing papers authored by Keith R. Abrams

Since Specialization
Citations

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

Fields of papers citing papers by Keith R. Abrams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith R. Abrams. 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 Keith R. Abrams. The network helps show where Keith R. Abrams may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20231
5 20210
6 201814
7 20171
8 201522
9 20115
10 201038
11 20081
12 200741
13 20060
14 200669
15 20061
16 200427
17 2003188
18
Methods for the analysis of quality-of-life and survival data in health technology assessment.
1999248
19 1998132
20 19961

About Keith R. Abrams

Keith R. Abrams is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 332 papers that have together received 22.8k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (86 papers), Statistical Methods in Clinical Trials (56 papers), Meta-analysis and systematic reviews (46 papers), Statistical Methods and Bayesian Inference (23 papers), Inflammatory Bowel Disease (20 papers), Advanced Causal Inference Techniques (18 papers), Acute Myocardial Infarction Research (16 papers) and Healthcare Policy and Management (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.5k citations), Statistics and Probability (2.7k citations) and Economics and Econometrics (3.1k citations). Keith R. Abrams has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Alex J. Sutton, David R. Jones, Paul C. Lambert, Nicola J. Cooper, Jaime Peters, J F Mayberry, Lesley Rushton, David J. Spiegelhalter, Jonathan P. Myles and Richard D Riley. Their work appears in journals such as Value in Health, Statistics in Medicine, Health Technology Assessment, Alimentary Pharmacology & Therapeutics and BMC Medical Research Methodology.

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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