Jerry W. Lewis

475 total citations
10 papers, 376 citations indexed

About

Jerry W. Lewis is a scholar working on Statistics and Probability, Genetics and Molecular Biology. According to data from OpenAlex, Jerry W. Lewis has authored 10 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Jerry W. Lewis's work include Evolution and Genetic Dynamics (3 papers), Statistical Methods in Clinical Trials (3 papers) and Optimal Experimental Design Methods (2 papers). Jerry W. Lewis is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Statistical Methods in Clinical Trials (3 papers) and Optimal Experimental Design Methods (2 papers). Jerry W. Lewis collaborates with scholars based in United States. Jerry W. Lewis's co-authors include Jason J. Z. Liao, Luis A. Escobar, Sandeep Menon, Edward Pollak, Joseph M. Massaro, Michael Pencina, Philip T. Lavin and Yongcheng Wang and has published in prestigious journals such as Journal of Theoretical Biology, Numerische Mathematik and Theoretical Population Biology.

In The Last Decade

Jerry W. Lewis

10 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerry W. Lewis United States	6	46	45	35	27	27	10	376
Julia Schiffner Germany	12	28 0.6×	86 1.9×	10 0.3×	14 0.5×	13 0.5×	20	497
Srikesh Arunajadai United States	12	35 0.8×	72 1.6×	42 1.2×	40 1.5×	19 0.7×	26	1.2k
Jason J. Z. Liao United States	11	50 1.1×	40 0.9×	66 1.9×	127 4.7×	103 3.8×	50	915
E. Wattel Netherlands	13	117 2.5×	47 1.0×	86 2.5×	6 0.2×	30 1.1×	40	742
Carter United States	14	13 0.3×	62 1.4×	125 3.6×	16 0.6×	17 0.6×	51	627
Alan C. Woods United States	16	12 0.3×	42 0.9×	53 1.5×	5 0.2×	40 1.5×	85	911
Mohammad Tabatabai United States	14	40 0.9×	110 2.4×	32 0.9×	67 2.5×	10 0.4×	69	911
Elisabeth Waldmann Germany	15	19 0.4×	57 1.3×	50 1.4×	120 4.4×	43 1.6×	21	763
T. D. V. Swinscow Norway	12	37 0.8×	55 1.2×	114 3.3×	15 0.6×	43 1.6×	71	1.2k
Jason D. Nielsen Canada	8	46 1.0×	25 0.6×	32 0.9×	55 2.0×	6 0.2×	10	419

Countries citing papers authored by Jerry W. Lewis

Since Specialization

Citations

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

Fields of papers citing papers by Jerry W. Lewis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerry W. Lewis. 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 Jerry W. Lewis. The network helps show where Jerry W. Lewis may publish in the future.

Co-authorship network of co-authors of Jerry W. Lewis

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

All Works

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10 of 10 papers shown

1.

Menon, Sandeep, et al.. (2012). Comparison of Operating Characteristics of Commonly Used Sample Size Re-Estimation Procedures in a Two-Stage Design. Communications in Statistics - Simulation and Computation. 42(5). 1140–1152. 3 indexed citations

2.

Menon, Sandeep, Joseph M. Massaro, Jerry W. Lewis, et al.. (2011). Sample Size Calculation for Poisson Endpoint Using the Exact Distribution of Difference Between Two Poisson Random Variables. Statistics in Biopharmaceutical Research. 3(3). 497–504. 2 indexed citations

3.

Liao, Jason J. Z. & Jerry W. Lewis. (2000). A note on concordance correlation coefficient.. PubMed. 54(1). 23–6. 270 indexed citations

4.

Liao, Jason J. Z. & Jerry W. Lewis. (2000). QUALIFYING ELISA DATA: COMBINING INFORMATION. Journal of Biopharmaceutical Statistics. 10(4). 545–558. 5 indexed citations

5.

Lewis, Jerry W. & Luis A. Escobar. (1986). Suppression and Enhancement in Bivariate Regression. Journal of the Royal Statistical Society Series D (The Statistician). 35(1). 17–17. 23 indexed citations

6.

Lewis, Jerry W., et al.. (1985). A consequence of non-orthogonal data. Journal of Statistical Computation and Simulation. 22(1). 51–66. 1 indexed citations

7.

Lewis, Jerry W.. (1982). Inversion of tridiagonal matrices. Numerische Mathematik. 38(3). 333–345. 44 indexed citations

8.

Lewis, Jerry W. & Edward Pollak. (1982). Genetic identity in subdivided populations. I. Two equal-sized subpopulations. Theoretical Population Biology. 22(2). 218–240. 2 indexed citations

9.

Lewis, Jerry W.. (1981). On the coevolution of pathogen and host: II. Selfing hosts and haploid pathogens. Journal of Theoretical Biology. 93(4). 953–985. 7 indexed citations

10.

Lewis, Jerry W.. (1981). On the coevolution of pathogen and host: I. General theory of discrete time coevolution. Journal of Theoretical Biology. 93(4). 927–951. 19 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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