David S. Robertson
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Statistics, Probability and Uncertainty top 10%
- Electrical and Electronic Engineering
- Co-authors
- James WasonSofía S. VillarThomas JakiA Toby PrevostJack BowdenPhilip PallmannMunyaradzi DimairoBabak Choodari‐Oskooei
- Topics
- Statistical Methods in Clinical Trials (16 papers)Optimal Experimental Design Methods (9 papers)Health Systems, Economic Evaluations, Quality of Life (7 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
David S. Robertson
23 papers receiving 227 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 145
- Management Science and Operations Research 66
- Economics and Econometrics 47
- Statistics, Probability and Uncertainty 25
- Electrical and Electronic Engineering 21
Countries citing papers authored by David S. Robertson
This map shows the geographic impact of David S. Robertson'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 S. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Robertson more than expected).
Fields of papers citing papers by David S. Robertson
This network shows the impact of papers produced by David S. Robertson. 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 S. Robertson. The network helps show where David S. Robertson may publish in the future.
Co-authorship network of co-authors of David S. Robertson
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Robertson. A scholar is included among the top collaborators of David S. Robertson 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 S. Robertson. David S. Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 41 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 28 | |
| 15 | 9 | |
| 16 | 21 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 3 |
About David S. Robertson
David S. Robertson is a scholar working on Statistics and Probability, Management Science and Operations Research and Modeling and Simulation, having authored 28 papers that have together received 235 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (9 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). The work is most often cited by research in Statistics and Probability (145 citations), Management Science and Operations Research (66 citations) and Statistics, Probability and Uncertainty (25 citations). David S. Robertson has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include James Wason, Sofía S. Villar, Thomas Jaki, A Toby Prevost, Jack Bowden, Philip Pallmann, Munyaradzi Dimairo, Babak Choodari‐Oskooei, Laura Flight and Chris Brooks. Their work appears in journals such as Bioinformatics, PLoS Pathogens and Statistics in Medicine.
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.