Tanveer A. Tarray

418 total citations
47 papers, 282 citations indexed

About

Tanveer A. Tarray is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Tanveer A. Tarray has authored 47 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 2 papers in Epidemiology. Recurrent topics in Tanveer A. Tarray's work include Survey Sampling and Estimation Techniques (44 papers), Statistical Distribution Estimation and Applications (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Tanveer A. Tarray is often cited by papers focused on Survey Sampling and Estimation Techniques (44 papers), Statistical Distribution Estimation and Applications (4 papers) and Statistical Methods and Bayesian Inference (2 papers). Tanveer A. Tarray collaborates with scholars based in India, Saudi Arabia and Pakistan. Tanveer A. Tarray's co-authors include Housila P. Singh, Basant Agarwal, Zawar Hussain, Bander Al-Zahrani, Showkat Ahmad Lone, Zaizai Yan, Jong‐Min Kim, Namita Srivastava, Manoj Srivastava and Olayan Albalawi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sociological Methods & Research and Symmetry.

In The Last Decade

Tanveer A. Tarray

39 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tanveer A. Tarray India 10 246 54 13 9 8 47 282
G. N. Singh India 13 569 2.3× 128 2.4× 41 3.2× 7 0.8× 4 0.5× 131 624
Arun Kumar Kuchibhotla United States 7 103 0.4× 57 1.1× 16 1.2× 5 0.6× 2 0.3× 27 175
M. N. Murthy India 5 303 1.2× 69 1.3× 18 1.4× 6 0.7× 3 0.4× 15 373
Nursel Koyuncu Türkiye 13 569 2.3× 55 1.0× 15 1.2× 2 0.2× 3 0.4× 48 604
Tolga Zaman Türkiye 15 560 2.3× 62 1.1× 23 1.8× 7 0.8× 2 0.3× 50 616
Raghunath Arnab Botswana 10 224 0.9× 39 0.7× 21 1.6× 12 1.3× 1 0.1× 57 252
J. Subramani India 13 403 1.6× 40 0.7× 13 1.0× 3 0.3× 1 0.1× 55 481
Usman Shahzad Pakistan 14 508 2.1× 38 0.7× 20 1.5× 7 0.8× 2 0.3× 65 566
Stephen A. Sedory United States 10 269 1.1× 64 1.2× 16 1.2× 2 0.2× 2 0.3× 46 289
Hülya Çıngı Türkiye 13 871 3.5× 90 1.7× 46 3.5× 2 0.2× 6 0.8× 23 915

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-authorship network of co-authors of Tanveer A. Tarray

This figure shows the co-authorship network connecting the top 25 collaborators of Tanveer A. Tarray. A scholar is included among the top collaborators of Tanveer A. Tarray 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 Tanveer A. Tarray. Tanveer A. Tarray 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
1.
Tarray, Tanveer A., et al.. (2025). Optimization of transportation efficiency through fuzzy logic and LINGO software. AIP Advances. 15(2).
2.
Tarray, Tanveer A., et al.. (2024). Tri-Phase Implementation of an Innovative Fuzzy Logic Approach for Decision-Making. Symmetry. 16(8). 994–994.
3.
Tarray, Tanveer A., et al.. (2022). ESTIMATION OF RARE SENSITIVE PARAMETER UNDER POISSON APPROXIMATION USING STRATIFIED THREE STAGE RANDOMIZED RESPONSE MODEL. Journal of Science and Arts. 22(4). 829–836.
4.
Lone, Showkat Ahmad, et al.. (2021). Inference for Step-Stress Partially Accelerated Life Test Model with an Adaptive Type-I Progressively Hybrid Censored Data. Human Biology. 19(1). 2–20. 5 indexed citations
5.
Tarray, Tanveer A., et al.. (2019). Improved class of difference-type estimators for population median in survey sampling. Communication in Statistics- Theory and Methods. 49(23). 5778–5793. 11 indexed citations
6.
Tarray, Tanveer A. & Housila P. Singh. (2018). A Proficient Two-Stage Stratified Randomized Response Strategy. Journal of Modern Applied Statistical Methods. 17(1). 4 indexed citations
7.
Tarray, Tanveer A., et al.. (2018). A randomization device for estimating a rare sensitive attribute in stratified sampling using Poisson distribution. Afrika Matematika. 29(3-4). 407–423. 6 indexed citations
8.
Tarray, Tanveer A. & Housila P. Singh. (2017). A simple way of improving the Bar–Lev, Bobovitch and Boukai Randomized response model. Kuwait Journal of Science. 44(4). 1 indexed citations
9.
Tarray, Tanveer A. & Housila P. Singh. (2016). New Procedures of Estimating Proportion and Sensitivity Using Randomized Response in a Dichotomous Finite Population. Journal of Modern Applied Statistical Methods. 15(1). 635–669. 3 indexed citations
10.
Tarray, Tanveer A. & Housila P. Singh. (2016). AN IMPROVED NEW ADDITIVE MODEL. Gazi university journal of science. 29(1). 159–165. 1 indexed citations
11.
Tarray, Tanveer A. & Housila P. Singh. (2016). An adept-stratified Kuk's randomized response model using Neyman allocation. Communication in Statistics- Theory and Methods. 46(6). 2870–2881. 1 indexed citations
12.
Tarray, Tanveer A. & Housila P. Singh. (2016). An optional randomized response model for estimating a rare sensitive attribute using Poisson distribution. Communication in Statistics- Theory and Methods. 46(6). 2638–2654. 3 indexed citations
13.
Tarray, Tanveer A. & Housila P. Singh. (2016). A sinuous stratified unrelated question randomized response model. Communication in Statistics- Theory and Methods. 45(22). 6510–6520. 5 indexed citations
14.
Singh, Housila P. & Tanveer A. Tarray. (2015). Two-stage stratified partial randomized response strategies. Communication in Statistics- Theory and Methods. 52(14). 4862–4893. 5 indexed citations
15.
Singh, Housila P. & Tanveer A. Tarray. (2015). Role of weights in improving the efficiency of Kim and Warde's mixed randomized response model. Communication in Statistics- Theory and Methods. 45(4). 1014–1030. 1 indexed citations
16.
Singh, Housila P. & Tanveer A. Tarray. (2014). A modified mixed randomized response model. Statistics in Transition New Series. 15(1). 67–82. 1 indexed citations
17.
Singh, Housila P. & Tanveer A. Tarray. (2014). AN ALTERNATIVE ESTIMATOR IN STRATIFIED RR STRATEGIES. 7(2). 105–118. 1 indexed citations
18.
Singh, Housila P. & Tanveer A. Tarray. (2014). An Improvement Over Kim and Elam Stratified Unrelated Question Randomized Response Mode Using Neyman Allocation. Sankhya B. 77(1). 91–107. 12 indexed citations
19.
Singh, Housila P. & Tanveer A. Tarray. (2014). An alternative to Kim and Warde’s mixed randomized response technique. SHILAP Revista de lepidopterología. 12 indexed citations
20.
Singh, Housila P. & Tanveer A. Tarray. (2013). An alternative to Kim and Warde's mixed randomized response model. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 37(2). 189–210. 12 indexed citations

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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