David Steel
- Sociology and Political Science top 5%
- Economics and Econometrics top 5%
- Health top 2%
- General Health Professions top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Mark TranmerDaniel T. HoltMark ClementsEmily BanksNicole MealingKris RogersLouisa JormRobin Flowerdew
- Topics
- Statistical Methods and Bayesian Inference (18 papers)Survey Methodology and Nonresponse (15 papers)demographic modeling and climate adaptation (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of EpidemiologyBMC Public Health
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
David Steel
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 154
- Sociology and Political Science 348
- Economics and Econometrics 347
- Health 257
- General Health Professions 255
- Public Health, Environmental and Occupational Health 224
Countries citing papers authored by David Steel
This map shows the geographic impact of David Steel'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 David Steel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Steel more than expected).
Fields of papers citing papers by David Steel
This network shows the impact of papers produced by David Steel. 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 David Steel. The network helps show where David Steel may publish in the future.
Co-authorship network of co-authors of David Steel
This figure shows the co-authorship network connecting the top 25 collaborators of David Steel. A scholar is included among the top collaborators of David Steel 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 David Steel. David Steel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 358 | |
| 12 | Design and Estimation for Split Questionnaire Surveys | 17 |
| 13 | 48 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 98 | |
| 17 | The Effect of Different Rotation Patterns on the Revisions of Trend Estimates | 3 |
| 18 | Statistical indicators for local government areas: a case study of the Shoalhaven LGA, 1997 | 0 |
| 19 | Project Spaceguard: Will humankind go the way of the dinosaurs? | 1 |
| 20 | Making unit-level inferences from aggregate data | 8 |
About David Steel
David Steel is a scholar working on Statistics and Probability, Health Informatics and Health, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (18 papers), Survey Methodology and Nonresponse (15 papers) and demographic modeling and climate adaptation (13 papers). The work is most often cited by research in Health (257 citations), Transportation (153 citations) and Statistics and Probability (174 citations). David Steel has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Mark Tranmer, Daniel T. Holt, Mark Clements, Emily Banks, Nicole Mealing, Kris Rogers, Louisa Jorm, Robin Flowerdew, Neil Wrigley and David Manley. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Epidemiology and BMC Public Health.
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.