Lynne Stokes

1.3k total citations
35 papers, 938 citations indexed

About

Lynne Stokes is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Lynne Stokes has authored 35 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 4 papers in Artificial Intelligence. Recurrent topics in Lynne Stokes's work include Statistical Methods and Bayesian Inference (10 papers), Survey Sampling and Estimation Techniques (8 papers) and Statistical Distribution Estimation and Applications (5 papers). Lynne Stokes is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Survey Sampling and Estimation Techniques (8 papers) and Statistical Distribution Estimation and Applications (5 papers). Lynne Stokes collaborates with scholars based in United States, South Korea and Russia. Lynne Stokes's co-authors include Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Johan Lim, Xinlei Wang, Jing Cao, Min Chen, Jing Cao, Laura T. Starks and Joan Lamm‐Tennant and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Lynne Stokes

35 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lynne Stokes United States	13	363	183	180	176	164	35	938
Zvi Gilula Israel	17	428 1.2×	36 0.2×	61 0.3×	207 1.2×	36 0.2×	52	985
Yasuo Amemiya United States	19	566 1.6×	58 0.3×	124 0.7×	155 0.9×	23 0.1×	45	1.3k
Tapan K. Nayak United States	16	369 1.0×	97 0.5×	367 2.0×	154 0.9×	27 0.2×	73	1.1k
Nanny Wermuth Germany	23	1.0k 2.8×	147 0.8×	43 0.2×	962 5.5×	190 1.2×	58	2.2k
Jeffrey Glosup United States	9	224 0.6×	72 0.4×	143 0.8×	127 0.7×	62 0.4×	10	1.0k
Renato Coppi Italy	16	389 1.1×	29 0.2×	22 0.1×	322 1.8×	171 1.0×	30	1.0k
Mortaza Jamshidian United States	16	516 1.4×	79 0.4×	44 0.2×	246 1.4×	66 0.4×	34	1.3k
Alfonso Gordaliza Spain	15	522 1.4×	135 0.7×	12 0.1×	630 3.6×	124 0.8×	41	1.1k
Lawrence H. Cox United States	16	188 0.5×	52 0.3×	77 0.4×	366 2.1×	35 0.2×	41	821
James M. Landwehr United States	9	236 0.7×	32 0.2×	29 0.2×	179 1.0×	60 0.4×	22	716

Countries citing papers authored by Lynne Stokes

Since Specialization

Citations

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

Fields of papers citing papers by Lynne Stokes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lynne Stokes

This figure shows the co-authorship network connecting the top 25 collaborators of Lynne Stokes. A scholar is included among the top collaborators of Lynne Stokes 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 Lynne Stokes. Lynne Stokes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Switzer, Theodore S., Clint Rhode, J. Marcus Drymon, et al.. (2025). A novel ddPCR™ assay for eDNA detection and quantification of Greater Amberjack Seriola dumerilli and three congeners in US waters: challenges and application to fisheries independent surveys. PeerJ. 13. e18778–e18778. 2 indexed citations

Liu, Haichen, et al.. (2021). Predictive modeling of maximum injury severity and potential economic cost in a car accident based on the General Estimates System data. Computational Statistics. 36(3). 1561–1575. 2 indexed citations

Cao, Jing & Lynne Stokes. (2017). Comparison of Different Ranking Methods in Wine Tasting. Journal of Wine Economics. 12(2). 203–210. 6 indexed citations

Stokes, Lynne, et al.. (2017). Accumulating Evidence of the Impact of Voter ID Laws: Student Engagement in the Political Process. SHILAP Revista de lepidopterología. 5(1). 1–8. 4 indexed citations

Stokes, Lynne & Jill H. Allor. (2016). A power analysis for fidelity measurement sample size determination.. Psychological Methods. 21(1). 35–46. 1 indexed citations

Wang, Xinlei, Johan Lim, & Lynne Stokes. (2015). Using Ranked Set Sampling With Cluster Randomized Designs for Improved Inference on Treatment Effects. Journal of the American Statistical Association. 111(516). 1576–1590. 36 indexed citations

Stokes, Lynne. (2014). Sample Size Calculation for a Hypothesis Test. JAMA. 312(2). 180–180. 9 indexed citations

Lim, Johan, Min Chen, Sangun Park, Xinlei Wang, & Lynne Stokes. (2014). Kernel Density Estimator From Ranked Set Samples. Communication in Statistics- Theory and Methods. 43(10-12). 2156–2168. 5 indexed citations

Brick, J. Michael, et al.. (2012). Methods for Improving Response Rates in Two-Phase Mail Surveys. Survey Practice. 5(3). 1–6. 5 indexed citations

10.

Duncan, George T. & Lynne Stokes. (2009). Data masking for disclosure limitation. Wiley Interdisciplinary Reviews Computational Statistics. 1(1). 83–92. 9 indexed citations

11.

Stokes, Lynne. (2008). Introduction to Variance Estimation (2nd ed.). 103(483). 1324. 2 indexed citations

12.

Wang, Xinlei, Johan Lim, & Lynne Stokes. (2008). A Nonparametric Mean Estimator for Judgment Poststratified Data. Biometrics. 64(2). 355–363. 42 indexed citations

13.

Wang, Xinlei, Lynne Stokes, Johan Lim, & Min Chen. (2006). Concomitants of Multivariate Order Statistics With Application to Judgment Poststratification. Journal of the American Statistical Association. 101(476). 1693–1704. 39 indexed citations

14.

Haas, Peter J., Yushan Liu, & Lynne Stokes. (2005). An Estimator of Number of Species from Quadrat Sampling. Biometrics. 62(1). 135–141. 17 indexed citations

15.

Haas, Peter J. & Lynne Stokes. (1998). Estimating the Number of Classes in a Finite Population. Journal of the American Statistical Association. 93(444). 1475–1487. 61 indexed citations

16.

Haas, Peter J. & Lynne Stokes. (1998). Estimating the Number of Classes in a Finite Population. Journal of the American Statistical Association. 93(444). 1475–1475. 8 indexed citations

17.

Luo, Ming, Lynne Stokes, & Thomas W. Sager. (1998). Estimation of the CDF of a finite population in the presence of acalibration sample. Environmental and Ecological Statistics. 5(3). 277–289. 6 indexed citations

18.

Haas, Peter J., Jeffrey F. Naughton, S. Seshadri, & Lynne Stokes. (1995). Sampling-Based Estimation of the Number of Distinct Values of an Attribute. Very Large Data Bases. 311–322. 184 indexed citations

19.

Stokes, Lynne. (1995). Parametric ranked set sampling. Annals of the Institute of Statistical Mathematics. 47(3). 465–482. 142 indexed citations

20.

Wright, Melissa, Lynne Stokes, & James S. Dyer. (1994). Reliability and Coherence of Causal, Diagnostic, and Joint Subjective Probabilities. Decision Sciences. 25(5-6). 691–709. 6 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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