Ananda Sen

15.0k total citations · 3 hit papers
225 papers, 10.7k citations indexed

About

Ananda Sen is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability and General Health Professions. According to data from OpenAlex, Ananda Sen has authored 225 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Public Health, Environmental and Occupational Health, 35 papers in Statistics and Probability and 34 papers in General Health Professions. Recurrent topics in Ananda Sen's work include Statistical Distribution Estimation and Applications (19 papers), Sexual function and dysfunction studies (14 papers) and Statistical Methods and Bayesian Inference (14 papers). Ananda Sen is often cited by papers focused on Statistical Distribution Estimation and Applications (19 papers), Sexual function and dysfunction studies (14 papers) and Statistical Methods and Bayesian Inference (14 papers). Ananda Sen collaborates with scholars based in United States, Canada and Japan. Ananda Sen's co-authors include Paul M. Gordon, Mark D. Peterson, Katherine J. Gold, Woosung Sohn, Ashley Amaya, Amid I. Ismaïl, Nigel Pitts, Marisol Téllez, Richard E. Harris and Matthew R. Rhea and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Ananda Sen

219 papers receiving 10.3k citations

Hit Papers

The International Caries Detection and Assessment System ... 2007 2026 2013 2019 2007 2010 2010 250 500 750 1000

Peers

Ananda Sen
Comparison fields: 5 of 210
  • Physiology 1.9k
  • Psychiatry and Mental health 1.5k
  • General Health Professions 1.3k
  • Public Health, Environmental and Occupational Health 1.3k
  • Periodontics 974
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Peter Schlattmann Germany View profile →
Citations per field, relative to Ananda Sen
Ananda Sen · 1×
Citations per year, relative to Ananda Sen
Ananda Sen · 1×

Countries citing papers authored by Ananda Sen

Since Specialization
Citations

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

Fields of papers citing papers by Ananda Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ananda Sen. 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 Ananda Sen. The network helps show where Ananda Sen may publish in the future.

Co-authorship network of co-authors of Ananda Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Ananda Sen. A scholar is included among the top collaborators of Ananda Sen 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 Ananda Sen. Ananda Sen 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 1
3 4
4 2
5 3
6 2
7 77
8 14
9 12
10 63
11 76
12 146
13 16
14 78
15 83
16 106
17 16
18 20
19 1
20 28

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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