David S. Robertson

56 total papers · 692 total citations
27 papers, 229 citations indexed

About

David S. Robertson is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, David S. Robertson has authored 27 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 10 papers in Management Science and Operations Research and 7 papers in Economics and Econometrics. Recurrent topics in David S. Robertson's 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). David S. Robertson is often cited by papers focused on Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (9 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). David S. Robertson collaborates with scholars based in United Kingdom, Germany and Switzerland. David S. Robertson's co-authors include James Wason, Sofía S. Villar, Jack Bowden, Thomas Jaki, A Toby Prevost, Philip Pallmann, Laura Flight, Munyaradzi Dimairo, Babak Choodari‐Oskooei and Jan Wildenhain and has published in prestigious journals such as Bioinformatics, PLoS Pathogens and Statistics in Medicine.

In The Last Decade

David S. Robertson

22 papers receiving 221 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David S. Robertson 140 66 47 25 21 27 229
Wei Ma 141 1.0× 34 0.5× 26 0.6× 15 0.6× 4 0.2× 36 237
Isaac Dialsingh 99 0.7× 29 0.4× 44 0.9× 14 0.6× 5 0.2× 28 319
Roel Braekers 118 0.8× 18 0.3× 39 0.8× 6 0.2× 31 288
Peirong Xu 157 1.1× 14 0.2× 29 0.6× 30 1.2× 5 0.2× 36 307
Paul J. Smith 115 0.8× 20 0.3× 34 0.7× 26 1.0× 12 0.6× 17 301
Youssef El‐Khatib 42 0.3× 20 0.3× 91 1.9× 11 0.4× 3 0.1× 31 303
Shonosuke Sugasawa 129 0.9× 52 0.8× 77 1.6× 18 0.7× 3 0.1× 64 295
Caroline Morgan 105 0.8× 44 0.7× 59 1.3× 37 1.5× 13 257
Nicolas Savy 81 0.6× 20 0.3× 52 1.1× 8 0.3× 29 270
Dario Gasbarra 112 0.8× 16 0.2× 26 0.6× 19 0.8× 4 0.2× 34 323

Countries citing papers authored by David S. Robertson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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