Stephen A. Sedory

448 total citations
46 papers, 289 citations indexed

About

Stephen A. Sedory is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Stephen A. Sedory has authored 46 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 3 papers in Infectious Diseases. Recurrent topics in Stephen A. Sedory's work include Survey Sampling and Estimation Techniques (42 papers), Statistical Methods and Bayesian Inference (10 papers) and Bayesian Methods and Mixture Models (6 papers). Stephen A. Sedory is often cited by papers focused on Survey Sampling and Estimation Techniques (42 papers), Statistical Methods and Bayesian Inference (10 papers) and Bayesian Methods and Mixture Models (6 papers). Stephen A. Sedory collaborates with scholars based in United States, Austria and India. Stephen A. Sedory's co-authors include Sarjinder Singh, Michael L. Johnson, Raghunath Arnab, M. Rueda, Jong‐Min Kim, Housila P. Singh and Prem Chandra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Statistics & Data Analysis and Sociological Methods & Research.

In The Last Decade

Stephen A. Sedory

41 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. Sedory United States 10 269 64 16 16 11 46 289
Raghunath Arnab Botswana 10 224 0.8× 39 0.6× 11 0.7× 21 1.3× 20 1.8× 57 252
Tanveer A. Tarray India 10 246 0.9× 54 0.8× 5 0.3× 13 0.8× 7 0.6× 47 282
Rajesh Tailor India 11 372 1.4× 31 0.5× 9 0.6× 11 0.7× 21 1.9× 52 381
Ramkrishna S. Solanki India 12 378 1.4× 38 0.6× 16 1.0× 28 1.8× 29 2.6× 28 388
Rajesh Singh India 10 327 1.2× 47 0.7× 3 0.2× 30 1.9× 16 1.5× 46 342
Shashi Bahl India 5 378 1.4× 17 0.3× 14 0.9× 24 1.5× 15 1.4× 8 381
Nursel Koyuncu Türkiye 13 569 2.1× 55 0.9× 3 0.2× 15 0.9× 18 1.6× 48 604
Tolga Zaman Türkiye 15 560 2.1× 62 1.0× 2 0.1× 23 1.4× 20 1.8× 50 616
Surendra K. Srivastava India 8 377 1.4× 52 0.8× 15 0.9× 22 1.4× 10 0.9× 11 387
M. N. Murthy India 5 303 1.1× 69 1.1× 6 0.4× 18 1.1× 20 1.8× 15 373

Countries citing papers authored by Stephen A. Sedory

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Sedory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen A. Sedory

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Sedory. A scholar is included among the top collaborators of Stephen A. Sedory 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 Stephen A. Sedory. Stephen A. Sedory 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.
Sedory, Stephen A., et al.. (2024). A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model. Journal of Applied Statistics. 52(4). 868–893.
2.
Sedory, Stephen A., et al.. (2023). New Randomised Response Models for Two Sensitive Characteristics: Theory and Application. International Statistical Review. 91(3). 511–534. 1 indexed citations
3.
Sedory, Stephen A., et al.. (2023). Franklin's randomized response model with correlated scrambled variables. Statistica Neerlandica. 78(2). 302–309.
4.
Sedory, Stephen A., et al.. (2021). Two sensitive characteristics and their overlap with two questions per card. Biometrical Journal. 63(8). 1688–1705. 4 indexed citations
5.
Sedory, Stephen A., et al.. (2021). A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking. Sociological Methods & Research. 52(2). 642–763. 4 indexed citations
6.
Sedory, Stephen A., et al.. (2021). An Unbiased Regression Type Estimator In Randomized Response Sampling. Sankhya B. 84(1). 243–258. 1 indexed citations
7.
Sedory, Stephen A., et al.. (2020). Higher order calibrated estimator in two-stage sampling. Communication in Statistics- Theory and Methods. 51(10). 3164–3180. 3 indexed citations
8.
Sedory, Stephen A., et al.. (2018). Improved Mean Methods of Imputation. Statistics Optimization & Information Computing. 6(4). 4 indexed citations
9.
Sedory, Stephen A., et al.. (2018). Improved strategy to collect sensitive data by using geometric distribution as a randomization device. Communication in Statistics- Theory and Methods. 48(23). 5777–5795. 2 indexed citations
10.
Sedory, Stephen A., et al.. (2018). Calibration using power transformation. Communications in Statistics - Simulation and Computation. 49(9). 2256–2286. 4 indexed citations
11.
Sedory, Stephen A., et al.. (2017). Weighted squared distance for two-deck randomized response model. Behaviormetrika. 2 indexed citations
12.
Sedory, Stephen A., et al.. (2016). Imputation using higher order moments of an auxiliary variable. Communications in Statistics - Simulation and Computation. 46(8). 6588–6617. 17 indexed citations
13.
Johnson, Michael L., Stephen A. Sedory, & Sarjinder Singh. (2016). Alternative Methods to Make Efficient Use of Two Decks of Cards in Randomized Response Sampling. Sociological Methods & Research. 48(1). 62–91. 5 indexed citations
14.
Rueda, M., Stephen A. Sedory, & Sarjinder Singh. (2015). A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice. 4 indexed citations
15.
Sedory, Stephen A., et al.. (2015). Comparison of Cramer–Rao lower bounds of variances for at least equal protection of respondents. Statistica Neerlandica. 70(2). 80–99. 9 indexed citations
16.
Singh, Sarjinder & Stephen A. Sedory. (2014). Stochastic Randomized Response Model for a Quantitative Sensitive Random Variable. Journal of Modern Applied Statistical Methods. 13(1). 380–396.
17.
Sedory, Stephen A., et al.. (2014). Kuk’s Model Adjusted for Protection and Efficiency. Sociological Methods & Research. 44(3). 534–551. 9 indexed citations
18.
Singh, Sarjinder & Stephen A. Sedory. (2013). A new randomized response device for sensitive characteristics: an application of the negative hypergeometic distribution. METRON. 71(1). 3–8. 16 indexed citations
19.
Sedory, Stephen A. & Sarjinder Singh. (2013). Estimation of Mode Using Auxiliary Information. Communications in Statistics - Simulation and Computation. 43(10). 2390–2402. 8 indexed citations
20.
Singh, Sarjinder, Stephen A. Sedory, & Jong‐Min Kim. (2013). An Empirical Likelihood Estimate of the Finite Population Correlation Coefficient. Communications in Statistics - Simulation and Computation. 43(6). 1430–1441.

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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