James M. Robins
- Statistics and Probability top 0.5%
- Economics and Econometrics top 5%
- Infectious Diseases
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Dianne M. FinkelsteinSander GreenlandSteven D. MarkAad van der VaartValérie VenturaNick PhillipsAtul TyagiJohn Goodden
- Topics
- Statistical Methods and Inference (4 papers)Advanced Causal Inference Techniques (4 papers)Statistical Methods and Bayesian Inference (3 papers)
- Partner nations
- United KingdomUnited StatesNorth Korea
In The Last Decade
James M. Robins
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Statistics and Probability 681
- Economics and Econometrics 250
- Infectious Diseases 105
- Epidemiology 102
- Public Health, Environmental and Occupational Health 87
Countries citing papers authored by James M. Robins
This map shows the geographic impact of James M. Robins'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 James M. Robins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Robins more than expected).
Fields of papers citing papers by James M. Robins
This network shows the impact of papers produced by James M. Robins. 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 James M. Robins. The network helps show where James M. Robins may publish in the future.
Co-authorship network of co-authors of James M. Robins
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Robins. A scholar is included among the top collaborators of James M. Robins 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 James M. Robins. James M. Robins 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 59 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Testsbreakdown → | 586 |
| 13 | 83 | |
| 14 | 16 | |
| 15 | 110 | |
| 16 | 113 | |
| 17 | 64 | |
| 18 | 221 | |
| 19 | 0 |
About James M. Robins
James M. Robins is a scholar working on Statistics and Probability, Neurology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (681 citations), Economics and Econometrics (250 citations) and Virology (40 citations). James M. Robins has collaborated with scholars based in United Kingdom, United States and North Korea. Frequent co-authors include Dianne M. Finkelstein, Sander Greenland, Steven D. Mark, Aad van der Vaart, Valérie Ventura, Nick Phillips, Atul Tyagi, John Goodden, Paul Chumas and Ian Anderson. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Journal of neurosurgery.
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.