E. P. King

597 total citations
12 papers, 406 citations indexed

About

E. P. King is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, E. P. King has authored 12 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in E. P. King's work include Advanced Statistical Methods and Models (2 papers), Statistical Methods in Clinical Trials (2 papers) and Statistical Methods and Bayesian Inference (1 paper). E. P. King is often cited by papers focused on Advanced Statistical Methods and Models (2 papers), Statistical Methods in Clinical Trials (2 papers) and Statistical Methods and Bayesian Inference (1 paper). E. P. King collaborates with scholars based in United States and Egypt. E. P. King's co-authors include Eugene Lukács, John T. Callaghan, Richard F. Bergstrom, Walter Offen, Boyd D. Obermeyer, Christine Redman, Lorinda Simms and C. B. Sampson and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and Biometrics.

In The Last Decade

E. P. King

11 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. P. King United States	7	90	45	41	33	30	12	406
Donald M. Olsson United States	6	81 0.9×	56 1.2×	67 1.6×	65 2.0×	20 0.7×	10	518
Albert H. Bowker United States	6	77 0.9×	95 2.1×	30 0.7×	42 1.3×	19 0.6×	10	504
Harry O. Posten United States	9	159 1.8×	47 1.0×	78 1.9×	33 1.0×	13 0.4×	36	460
A.J. van Reeken Netherlands	4	93 1.0×	48 1.1×	32 0.8×	50 1.5×	6 0.2×	8	300
Hermann Witting Germany	7	156 1.7×	27 0.6×	55 1.3×	44 1.3×	19 0.6×	16	307
L. N. Bol’shev	10	116 1.3×	34 0.8×	66 1.6×	47 1.4×	10 0.3×	21	374
P. J. Zemroch United Kingdom	13	94 1.0×	17 0.4×	51 1.2×	27 0.8×	16 0.5×	28	394
Larry P. Ammann United States	12	85 0.9×	26 0.6×	55 1.3×	13 0.4×	100 3.3×	25	499
Roch Roy Canada	16	217 2.4×	48 1.1×	54 1.3×	61 1.8×	9 0.3×	45	761
Satya N. Mishra United States	10	162 1.8×	52 1.2×	64 1.6×	45 1.4×	28 0.9×	24	491

Countries citing papers authored by E. P. King

Since Specialization

Citations

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

Fields of papers citing papers by E. P. King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. P. King. 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 E. P. King. The network helps show where E. P. King may publish in the future.

Co-authorship network of co-authors of E. P. King

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

All Works

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12 of 12 papers shown

1.

Callaghan, John T., Richard F. Bergstrom, Boyd D. Obermeyer, E. P. King, & Walter Offen. (1985). Intravenous nizatidine kinetics and acid suppression. Clinical Pharmacology & Therapeutics. 37(2). 162–165. 29 indexed citations

2.

King, E. P., C. B. Sampson, & Lorinda Simms. (1975). An Alternative to Monte Carlo Sampling in Stochastic Models. Management Science. 21(6). 649–657. 6 indexed citations

3.

Redman, Christine & E. P. King. (1965). Group Screening Utilizing Balanced and Partially Balanced Incomplete Block Designs. Biometrics. 21(4). 865–865. 3 indexed citations

4.

King, E. P.. (1964). Optimal replication in sequential drug screening. Biometrika. 51(1-2). 1–10. 6 indexed citations

5.

King, E. P.. (1963). A Statistical Design for Drug Screening. Biometrics. 19(3). 429–429. 16 indexed citations

6.

King, E. P.. (1954). Optimum Grouping in One-Criterion Variance Components Analysis. Journal of the American Statistical Association. 49(267). 637–639. 2 indexed citations

7.

Lukács, Eugene & E. P. King. (1954). A Property of the Normal Distribution. The Annals of Mathematical Statistics. 25(2). 389–394. 67 indexed citations

8.

King, E. P.. (1953). Statistical theory with engineering applications. Journal of Chemical Education. 30(4). 212–212. 230 indexed citations

9.

King, E. P.. (1953). On Some Procedures for the Rejection of Suspected Data. Journal of the American Statistical Association. 48(263). 531–531. 6 indexed citations

10.

King, E. P.. (1953). On Some Procedures for the Rejection of Suspected Data. Journal of the American Statistical Association. 48(263). 531–533. 23 indexed citations

11.

King, E. P.. (1953). The petroleum chemicals industry. Journal of Chemical Education. 30(3). 161–161. 13 indexed citations

12.

King, E. P.. (1952). The Operating Characteristic of the Control Chart for Sample Means. The Annals of Mathematical Statistics. 23(3). 384–395. 5 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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