B. V. Sukhatme

1.1k total citations · 1 hit paper
28 papers, 707 citations indexed

About

B. V. Sukhatme is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, B. V. Sukhatme has authored 28 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in B. V. Sukhatme's work include Advanced Statistical Methods and Models (12 papers), Survey Sampling and Estimation Techniques (10 papers) and Bayesian Methods and Mixture Models (6 papers). B. V. Sukhatme is often cited by papers focused on Advanced Statistical Methods and Models (12 papers), Survey Sampling and Estimation Techniques (10 papers) and Bayesian Methods and Mixture Models (6 papers). B. V. Sukhatme collaborates with scholars based in United States, India and Philippines. B. V. Sukhatme's co-authors include P. V. Sukhatme, Samprit Chatterjee and Ravindra Singh and has published in prestigious journals such as Nature, Journal of the American Statistical Association and Biometrika.

In The Last Decade

B. V. Sukhatme

27 papers receiving 591 citations

Hit Papers

Sampling Theory of Surveys with Applications. 1971 2026 1989 2007 1971 100 200 300

Peers

B. V. Sukhatme
Comparison fields: 5 of 92
  • Statistics and Probability 504
  • Artificial Intelligence 114
  • Statistics, Probability and Uncertainty 84
  • Management Science and Operations Research 63
  • Global and Planetary Change 30
Replace M. R. Sampford with:
M. R. Sampford United Kingdom
Poduri S.R.S. Rao United States
P. M. Grundy United States
Aaron Tenenbein United States
K. R. W. Brewer Australia
Carl Erik Särndal Canada
Chien‐Pai Han United States
Susan E. Hills United Kingdom
S. R. Paul Canada
Henrick J. Malik Canada
M. R. Sampford United Kingdom View profile →
Citations per field, relative to B. V. Sukhatme
B. V. Sukhatme · 1×
Citations per year, relative to B. V. Sukhatme
B. V. Sukhatme · 1×

Countries citing papers authored by B. V. Sukhatme

Since Specialization
Citations

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

Fields of papers citing papers by B. V. Sukhatme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. V. Sukhatme. 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 B. V. Sukhatme. The network helps show where B. V. Sukhatme may publish in the future.

Co-authorship network of co-authors of B. V. Sukhatme

This figure shows the co-authorship network connecting the top 25 collaborators of B. V. Sukhatme. A scholar is included among the top collaborators of B. V. Sukhatme 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 B. V. Sukhatme. B. V. Sukhatme 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 2
2 19
3 0
4 7
5 5
6 24
7 4
8 1
9 1
10 18
11
Sampling Theory of Surveys with Applications. breakdown →
378
12 9
13 6
14 8
15 36
16 5
17 45
18 21
19 4
20 1

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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