D G Altman
Impact in
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- Meta-analysis and systematic reviews
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials
Papers in
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- Meta-analysis and systematic reviews 4
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- Statistical Methods in Clinical Trials 4
- Statistical Methods and Bayesian Inference 1
- Co-authors
- Michael J. CampbellPatrick RoystonJ. N. S. MatthewsMarc SchumacherWilli SauerbreiBerthold LausenM. J. GardnerCynthia D. Mulrow
- Journals
- Statistics in Medicine (3 papers)Annals of Internal Medicine (2 papers)British Journal of Dermatology (2 papers)The Lancet (2 papers)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
D G Altman
25 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Statistics, Probability and Uncertainty 1.1k
- Statistics and Probability 681
- Endocrinology, Diabetes and Metabolism 581
- Anesthesiology and Pain Medicine 186
- Cardiology and Cardiovascular Medicine 730
Countries citing papers authored by D G Altman
This map shows the geographic impact of D G Altman'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 D G Altman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D G Altman more than expected).
Fields of papers citing papers by D G Altman
This network shows the impact of papers produced by D G Altman. 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 D G Altman. The network helps show where D G Altman may publish in the future.
Co-authors
The 25 scholars most cited alongside D G Altman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 10 | |
| 2 | 2001 | 47 | |
| 3 | The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration Hit paper breakdown → | 2001 | 2890 |
| 4 | 2000 | 12 | |
| 5 | 1998 | 117 | |
| 6 | 1998 | 48 | |
| 7 | 1996 | 26 | |
| 8 | 1996 | 65 | |
| 9 | 1995 | 18 | |
| 10 | 1995 | 48 | |
| 11 | Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors Hit paper breakdown → | 1994 | 897 |
| 12 | 1993 | 92 | |
| 13 | 1992 | 47 | |
| 14 | 1991 | 207 | |
| 15 | 1991 | 36 | |
| 16 | Analysis of serial measurements in medical research. Hit paper breakdown → | 1990 | 2738 |
| 17 | 1990 | 253 | |
| 18 | 1984 | 19 | |
| 19 | 1981 | 20 | |
| 20 | 1981 | 1 |
About D G Altman
D G Altman is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Biological Psychiatry, Dermatology and History and Philosophy of Science, having authored 25 papers that have together received 7.8k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Statistical Methods in Clinical Trials (4 papers), Ethics in Clinical Research (2 papers), Skin Protection and Aging (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Biomedical Ethics and Regulation (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Statistics and Probability (681 citations), Endocrinology, Diabetes and Metabolism (581 citations), Anesthesiology and Pain Medicine (186 citations) and Cardiology and Cardiovascular Medicine (730 citations). D G Altman has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Michael J. Campbell, Patrick Royston, J. N. S. Matthews, Marc Schumacher, Willi Sauerbrei, Berthold Lausen, M. J. Gardner, Cynthia D. Mulrow, R. Brian Haynes and Edward J. Huth. Their work appears in journals such as Statistics in Medicine, Annals of Internal Medicine, British Journal of Dermatology, The Lancet and JNCI Journal of the National Cancer Institute.
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.