Tanveer A. Tarray

438 citations
48 papers · 310 · h-index 9

Impact in

Papers in

    • Survey Sampling and Estimation Techniques 44
    • Statistical Distribution Estimation and Applications 4
    • Statistical Methods and Bayesian Inference 2
    • Bayesian Methods and Mixture Models 2
    • Hate Speech and Cyberbullying Detection 2

Tanveer A. Tarray

43 papers receiving 285 citations

Peers

Tanveer A. Tarray
Comparison fields: 5 of 45
  • Statistics and Probability 259
  • General Social Sciences 6
  • Artificial Intelligence 60
  • Statistics, Probability and Uncertainty 4
  • Applied Mathematics 5
Replace Arun Kumar Kuchibhotla with:
Arun Kumar Kuchibhotla United States
Stephen Andrew Sedory United States
Rajesh Tailor India
Matt Regan New Zealand
Garib Nath Singh India
Pier Francesco Perri Italy
Simona C. Minotti Italy
Baqun Zhang United States
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Citations per year

Countries citing papers authored by Tanveer A. Tarray

Since Specialization
Citations

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

Fields of papers citing papers by Tanveer A. Tarray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanveer A. Tarray. 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 Tanveer A. Tarray. The network helps show where Tanveer A. Tarray may publish in the future.

Co-authors

The 10 scholars most cited alongside Tanveer A. Tarray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tanveer A. Tarray Line = papers co-authored together Tanveer A. Tarray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201236
3 201420
4 201417
5 201913
6 201412
7 201412
8
An alternative to Kim and Warde's mixed randomized response model
201312
9 201610
10 20149
11 20157
12 20157
13 20157
14 20147
15 20216
16 20166
17 20146
18 20186
19 20146
20 20156

About Tanveer A. Tarray

Tanveer A. Tarray is a scholar working on Statistics and Probability, Artificial Intelligence, Modeling and Simulation, Statistics, Probability and Uncertainty and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 310 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (44 papers), Statistical Distribution Estimation and Applications (4 papers), Bayesian Methods and Mixture Models (2 papers), Hate Speech and Cyberbullying Detection (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Statistical Methods and Bayesian Inference (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Asian Geopolitics and Ethnography (1 paper). The work is most often cited by research in Statistics and Probability (259 citations), General Social Sciences (6 citations), Artificial Intelligence (60 citations), Statistics, Probability and Uncertainty (4 citations) and Applied Mathematics (5 citations). Tanveer A. Tarray has collaborated with scholars based in India, Saudi Arabia and Pakistan. Frequent co-authors include Housila Prasad Singh, Basant Agarwal, Zaizai Yan, Showkat Ahmad Lone, Zawar Hussain, Jong-Min Kim, Bander Al-Zahrani, Namita Srivastava, Manoj Kumar Srivastava and Olayan Albalawi. Their work appears in journals such as Sociological Methods & Research, Kuwait Journal of Science, AIP Advances, Symmetry and Human Biology.

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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