D. G. Altman
- Statistics, Probability and Uncertainty top 1%
- Economics and Econometrics top 5%
- Statistics and Probability top 2%
- Public Health, Environmental and Occupational Health
- Surgery
- Co-authors
- Steve HalliganSusan MallettGary S. CollinsMary Kay ThompsonJamie J KirkhamY. K. LokePooja SainiCarrol Gamble
- Topics
- Meta-analysis and systematic reviews (4 papers)Health Systems, Economic Evaluations, Quality of Life (2 papers)Ethics in Clinical Research (1 paper)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityEconomics and Econometrics
- Journals
- BMJHealth Technology AssessmentJournal of the Royal Statistical Society Series A (Statistics in Society)
- Partner nations
- United KingdomBangladeshAustralia
In The Last Decade
D. G. Altman
6 papers receiving 724 citations
Peers
Comparison fields: 5 of 124
- Statistics, Probability and Uncertainty 214
- Economics and Econometrics 174
- Statistics and Probability 143
- Public Health, Environmental and Occupational Health 110
- Surgery 103
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-authorship network of co-authors of D. G. Altman
This figure shows the co-authorship network connecting the top 25 collaborators of D. G. Altman. A scholar is included among the top collaborators of D. G. Altman 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 D. G. Altman. D. G. Altman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 144 | |
| 2 | 1 | |
| 3 | 160 | |
| 4 | 100 | |
| 5 | 205 | |
| 6 | 133 |
About D. G. Altman
D. G. Altman is a scholar working on Statistics, Probability and Uncertainty, Family Practice and Statistics and Probability, having authored 6 papers that have together received 743 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Ethics in Clinical Research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (214 citations), Statistics and Probability (143 citations) and Economics and Econometrics (174 citations). D. G. Altman has collaborated with scholars based in United Kingdom, Bangladesh and Australia. Frequent co-authors include Steve Halligan, Susan Mallett, Gary S. Collins, Mary Kay Thompson, Jamie J Kirkham, Y. K. Loke, Pooja Saini, Carrol Gamble, Paula Williamson and Nicky J. Welton. Their work appears in journals such as BMJ, Health Technology Assessment and Journal of the Royal Statistical Society Series A (Statistics in Society).
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.