Prayas Sharma

530 total citations
48 papers, 345 citations indexed

About

Prayas Sharma is a scholar working on Statistics and Probability, Sociology and Political Science and Management Information Systems. According to data from OpenAlex, Prayas Sharma has authored 48 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 6 papers in Sociology and Political Science and 4 papers in Management Information Systems. Recurrent topics in Prayas Sharma's work include Survey Sampling and Estimation Techniques (31 papers), Statistical Methods and Bayesian Inference (11 papers) and Statistical Distribution Estimation and Applications (9 papers). Prayas Sharma is often cited by papers focused on Survey Sampling and Estimation Techniques (31 papers), Statistical Methods and Bayesian Inference (11 papers) and Statistical Distribution Estimation and Applications (9 papers). Prayas Sharma collaborates with scholars based in India, Pakistan and Australia. Prayas Sharma's co-authors include Rajesh Singh, Rajesh Singh, T. N. Goh, Min Xie, Anukriti Sharma, Hemant Verma, Muhammad Noor‐ul‐Amin, Muhammad Hanif, Rajesh Kumar Gupta and Rajesh Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Journal of Computational and Applied Mathematics.

In The Last Decade

Prayas Sharma

37 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prayas Sharma India 11 208 63 49 44 24 48 345
Nitin Gupta India 12 288 1.4× 173 2.7× 23 0.5× 6 0.1× 5 0.2× 41 413
Muhammad Tahir Indonesia 8 106 0.5× 42 0.7× 39 0.8× 9 0.2× 20 0.8× 77 288
Tolga Zaman Türkiye 15 560 2.7× 63 1.0× 62 1.3× 23 0.5× 17 0.7× 50 616
Kari Lock Morgan United States 7 198 1.0× 15 0.2× 22 0.4× 13 0.3× 11 292
Siu‐Ming Tam Australia 9 134 0.6× 12 0.2× 43 0.9× 53 1.2× 3 0.1× 36 252
Saima K. Khosa Saudi Arabia 13 269 1.3× 139 2.2× 20 0.4× 8 0.2× 44 1.8× 34 358
Ralf Münnich Germany 10 125 0.6× 7 0.1× 37 0.8× 54 1.2× 12 0.5× 63 287
Robert L. Wardrop United States 11 75 0.4× 33 0.5× 33 0.7× 19 0.4× 17 349
Shonosuke Sugasawa Japan 10 132 0.6× 19 0.3× 56 1.1× 16 0.4× 27 1.1× 65 305
Angelo Mazza Italy 10 91 0.4× 11 0.2× 92 1.9× 83 1.9× 4 0.2× 26 281

Countries citing papers authored by Prayas Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Prayas Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prayas Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Prayas Sharma. A scholar is included among the top collaborators of Prayas Sharma 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 Prayas Sharma. Prayas Sharma 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
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Sharma, Prayas, et al.. (2025). Estimation of population mean using generalized neutrosophic exponential estimators. 12(1). 5 indexed citations
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Sharma, Prayas, et al.. (2025). Enhanced estimation of population mean via exponential-type estimator using dual auxiliary inputs. SHILAP Revista de lepidopterología. 33(1).
6.
Mahmood, Amjad, et al.. (2024). New memory-based ratio estimator in survey sampling. 5(1). 168–181. 4 indexed citations
7.
Poonam, Poonam, et al.. (2024). Estimation of Population Mean using Neutrosophic Exponential Estimators with Application to Real Data. 25(3). 322–338. 2 indexed citations
8.
Sanaullah, Aamir, et al.. (2024). Enhancing process mean monitoring efficiency using extended-EWMA control chart with auxiliary information. International Journal of Systems Assurance Engineering and Management. 15(7). 3522–3537.
9.
Sharma, Prayas, et al.. (2023). Assessment of profitability and efficiency of regulatory acts on energy-intensive industries: a panel data methodology and case study in India. Stochastic Environmental Research and Risk Assessment. 37(12). 5009–5027.
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Sharma, Prayas, et al.. (2022). Modern Multivariate Statistical Methods for Evaluating the Impact of WhatsApp on Academic Performance: Methodology and Case Study in India. Applied Sciences. 12(12). 6141–6141. 8 indexed citations
12.
Noor‐ul‐Amin, Muhammad, et al.. (2020). Variable acceptance sampling plan based on hybrid exponentially weighted moving averages. Communications in Statistics - Simulation and Computation. 51(12). 7544–7553. 7 indexed citations
13.
Sharma, Prayas, et al.. (2019). A NEW RATIO ESTIMATOR: AN ALTERNATIVE TO REGRESSION ESTIMATOR IN SURVEY SAMPLING USING AUXILIARY INFORMATION. SHILAP Revista de lepidopterología. 20(4). 181–189. 3 indexed citations
14.
Sharma, Prayas, Hemant Verma, Rajesh Singh, & Carlos N. Bouza. (2019). ESTIMATORS FOR POPULATION VARIANCE USING AUXILIARY INFORMATION ON QUARTILE. 39(4). 528–535. 3 indexed citations
15.
Singh, Rajesh, Hemant Verma, & Prayas Sharma. (2016). Estimation of Population Mean Using Exponential Type Imputation Technique for Missing Observations. Journal of Modern Applied Statistical Methods. 15(1). 358–372. 5 indexed citations
16.
Singh, Rajesh & Prayas Sharma. (2015). Method of Estimation in the Presence of Non-response and Measurement Errors Simultaneously. Journal of Modern Applied Statistical Methods. 14(1). 107–121. 21 indexed citations
17.
Verma, Hemant, Prayas Sharma, & Rajesh Singh. (2014). Some Ratio-cum-product Type Estimators for Population Mean Under Double Sampling in the Presence of Non-response. Journal of Statistics Applications & Probability. 3(3). 395–401. 2 indexed citations
18.
Sharma, Prayas & Rajesh Singh. (2013). A Generalized Class of Estimators for Finite Population Variance in Presence of Measurement Errors. Journal of Modern Applied Statistical Methods. 12(2). 231–241. 16 indexed citations
19.
Sharma, Prayas, et al.. (2013). Some Exponential Ratio-Product Type Estimators using information on Auxiliary Attributes under Second Order Approximation. 12(3). 58–66. 11 indexed citations
20.
Sharma, Prayas & Rajesh Singh. (2013). Improved estimators for simple random sampling and stratified random sampling under second order of approximation. Statistics in Transition New Series. 14(3). 379–390. 7 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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