James M. Robins

1.9k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

James M. Robins is a scholar working on Statistics and Probability, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, James M. Robins has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Surgery and 4 papers in Pathology and Forensic Medicine. Recurrent topics in James M. Robins's work include Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (3 papers). James M. Robins is often cited by papers focused on Statistical Methods and Inference (4 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (3 papers). James M. Robins collaborates with scholars based in United Kingdom, United States and North Korea. James M. Robins's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of neurosurgery.

In The Last Decade

James M. Robins

17 papers receiving 1.2k citations

Hit Papers

Correcting for Noncompliance and Dependent Censoring in a... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

James M. Robins
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
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Citations per field, relative to James M. Robins
James M. Robins · 1×
Citations per year, relative to James M. Robins
James M. Robins · 1×

Countries citing papers authored by James M. Robins

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
# 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 Tests breakdown →
586
13 83
14 16
15 110
16 113
17 64
18 221
19 0

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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