Benjamin R. Saville

7.0k total citations · 1 hit paper
93 papers, 2.6k citations indexed

About

Benjamin R. Saville is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Benjamin R. Saville has authored 93 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 18 papers in Cardiology and Cardiovascular Medicine and 16 papers in Epidemiology. Recurrent topics in Benjamin R. Saville's work include Statistical Methods in Clinical Trials (24 papers), Advanced Causal Inference Techniques (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Benjamin R. Saville is often cited by papers focused on Statistical Methods in Clinical Trials (24 papers), Advanced Causal Inference Techniques (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Benjamin R. Saville collaborates with scholars based in United States, United Kingdom and Canada. Benjamin R. Saville's co-authors include Scott Berry, David P. Bichell, Brian S. Donahue, Hemant Agarwal, JoAnn Alvarez, Paul D. Hain, Jason T. Connor, Z. Leah Harris, James C. Gay and Andrew A. Bremer and has published in prestigious journals such as The Lancet, JAMA and Journal of the American College of Cardiology.

In The Last Decade

Benjamin R. Saville

88 papers receiving 2.6k citations

Hit Papers

Azithromycin for community treatment of suspected COVID-1... 2021 2026 2022 2024 2021 50 100 150

Peers

Benjamin R. Saville
Comparison fields: 5 of 145
  • Epidemiology 568
  • Cardiology and Cardiovascular Medicine 474
  • Statistics and Probability 350
  • Infectious Diseases 332
  • Emergency Medicine 301
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Citations per field, relative to Benjamin R. Saville
Benjamin R. Saville · 1×
Citations per year, relative to Benjamin R. Saville
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Countries citing papers authored by Benjamin R. Saville

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin R. Saville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin R. Saville

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin R. Saville. A scholar is included among the top collaborators of Benjamin R. Saville 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 Benjamin R. Saville. Benjamin R. Saville 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
# Work Indexed citations
1 3
2 2
3 1
4 1
5 44
6 20
7 31
8 177
9 59
10 98
11 19
12 13
13 23
14 4
15 12
16 83
17 4
18 1
19 15
20 27

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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