Paul R. Rosenbaum

13.6k citations
198 papers · 8.8k indexed · 1 hit paper · h-index 47
Topics
Advanced Causal Inference Techniques (96 papers)Statistical Methods and Bayesian Inference (66 papers)Statistical Methods and Inference (63 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Paul R. Rosenbaum

194 papers receiving 8.4k citations

Hit Papers

Observational Studies2002202620102018200250010001.5k

Peers

Paul R. Rosenbaum
Comparison fields: 5 of 200
  • Statistics and Probability 3.3k
  • Economics and Econometrics 2.1k
  • Emergency Medicine 1.0k
  • General Health Professions 989
  • Cardiology and Cardiovascular Medicine 874
Replace Dylan S. Small with:
Dylan S. Small United States
William H. Rogers United States
Stephen R. Cole United States
Joseph S. Ross United States
Lisa Bero United States
Angela Wood United Kingdom
Edward Guadagnoli United States
Douglas O. Staiger United States
Simon French Australia
John Adams United States
Paul R. Rosenbaum relative to Dylan S. Small United States Dylan S. Small's profile →
Citations per field
00.5×1.6×
Dylan S. Small · 1×
Citations per year

Countries citing papers authored by Paul R. Rosenbaum

Since Specialization
Citations

This map shows the geographic impact of Paul R. Rosenbaum'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 Paul R. Rosenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul R. Rosenbaum more than expected).

Fields of papers citing papers by Paul R. Rosenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Rosenbaum. 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 Paul R. Rosenbaum. The network helps show where Paul R. Rosenbaum may publish in the future.

Co-authorship network of co-authors of Paul R. Rosenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Rosenbaum. A scholar is included among the top collaborators of Paul R. Rosenbaum 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 Paul R. Rosenbaum. Paul R. Rosenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 38
6 48
7 88
8 2
9 73
10 29
11 61
12 78
13 31
14 24
15 105
16 48
17 6
18 10
19 9
20 9

About Paul R. Rosenbaum

Paul R. Rosenbaum is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research, having authored 198 papers that have together received 8.8k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (96 papers), Statistical Methods and Bayesian Inference (66 papers) and Statistical Methods and Inference (63 papers). The work is most often cited by research in Statistics and Probability (3.3k citations), Emergency Medicine (1.0k citations) and Economics and Econometrics (2.1k citations). Paul R. Rosenbaum has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jeffrey H. Silber, Dylan S. Small, Richard N. Ross, Orit Even‐Shoshan, Kevin G. Volpp, Amy K. Rosen, Paul W. Holland, José R. Zubizarreta, Justin Ludwig and Scott A. Lorch. Their work appears in journals such as JAMA, Journal of Clinical Oncology and Journal of the American Statistical Association.

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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