I. R. Dunsmore
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Artificial Intelligence top 5%
- Surgery
- Management Science and Operations Research top 5%
- Co-authors
- J. AitchisonC.I. HarringtonJames WillocksR. J. BoysIan DonaldStuart CampbellR. A. JohnsonG. K. Bhattacharyya
- Topics
- Statistical Distribution Estimation and Applications (10 papers)Statistical Methods and Bayesian Inference (9 papers)Advanced Statistical Methods and Models (9 papers)
- Partner nations
- United KingdomIndiaBrazil
In The Last Decade
I. R. Dunsmore
47 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Statistics and Probability 738
- Statistics, Probability and Uncertainty 421
- Artificial Intelligence 212
- Surgery 185
- Management Science and Operations Research 163
Countries citing papers authored by I. R. Dunsmore
This map shows the geographic impact of I. R. Dunsmore'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 I. R. Dunsmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. R. Dunsmore more than expected).
Fields of papers citing papers by I. R. Dunsmore
This network shows the impact of papers produced by I. R. Dunsmore. 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 I. R. Dunsmore. The network helps show where I. R. Dunsmore may publish in the future.
Co-authorship network of co-authors of I. R. Dunsmore
This figure shows the co-authorship network connecting the top 25 collaborators of I. R. Dunsmore. A scholar is included among the top collaborators of I. R. Dunsmore 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 I. R. Dunsmore. I. R. Dunsmore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | p53 and p21waf-1 expression correlates with apoptosis or cell survival in poorly differentiated, but not well-differentiated, retinoblastomas. | 18 |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 36 | |
| 8 | 32 | |
| 9 | 77 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 28 | |
| 17 | 8 | |
| 18 | Statistical Prediction Analysisbreakdown → | 596 |
| 19 | 84 | |
| 20 | 60 |
About I. R. Dunsmore
I. R. Dunsmore is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (9 papers). The work is most often cited by research in Statistics and Probability (738 citations), Statistics, Probability and Uncertainty (421 citations) and General Decision Sciences (34 citations). I. R. Dunsmore has collaborated with scholars based in United Kingdom, India and Brazil. Frequent co-authors include J. Aitchison, C.I. Harrington, James Willocks, R. J. Boys, Ian Donald, Stuart Campbell, R. A. Johnson, G. K. Bhattacharyya, A. P. Dawid and Barry W. Hancock. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.