Stanley Kaplan

3.2k total citations · 1 hit paper
6 papers, 2.0k citations indexed

About

Stanley Kaplan is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Ecology. According to data from OpenAlex, Stanley Kaplan has authored 6 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics, Probability and Uncertainty, 2 papers in Sociology and Political Science and 2 papers in Ecology. Recurrent topics in Stanley Kaplan's work include Risk and Safety Analysis (4 papers), Risk Perception and Management (2 papers) and Insect and Pesticide Research (2 papers). Stanley Kaplan is often cited by papers focused on Risk and Safety Analysis (4 papers), Risk Perception and Management (2 papers) and Insect and Pesticide Research (2 papers). Stanley Kaplan collaborates with scholars based in United States and Ireland. Stanley Kaplan's co-authors include B. John Garrick, Dakota North, Jeffrey C. Allen, Jan P. Nyrop, David E. Burmaster, Ralph L. Keeney, J. G. Morse, George M. Gray, Stuart H. Gage and James K. Hammitt and has published in prestigious journals such as Risk Analysis and Offshore Technology Conference.

In The Last Decade

Stanley Kaplan

6 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On The Quantitative Definition of Risk

1981 1.9k citations Stanley Kaplan, B. John Garrick Risk Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stanley Kaplan United States	4	1.1k	544	408	330	277	6	2.0k
B. John Garrick United States	12	1.3k 1.3×	701 1.3×	533 1.3×	409 1.2×	362 1.3×	40	2.5k
M. Elisabeth Paté‐Cornell United States	24	1.1k 1.0×	380 0.7×	241 0.6×	407 1.2×	507 1.8×	68	2.4k
Wolfgang Kröger Switzerland	15	313 0.3×	594 1.1×	331 0.8×	148 0.4×	138 0.5×	42	1.4k
G. Apostolakis United States	35	2.8k 2.6×	821 1.5×	418 1.0×	1.1k 3.3×	593 2.1×	159	4.4k
Stan Kaplan United States	15	523 0.5×	248 0.5×	176 0.4×	168 0.5×	141 0.5×	39	1.1k
Vicki M. Bier United States	33	1.2k 1.1×	1.5k 2.8×	871 2.1×	320 1.0×	297 1.1×	108	3.6k
Floris Goerlandt Canada	45	1.8k 1.7×	187 0.3×	628 1.5×	213 0.6×	620 2.2×	158	6.0k
B.J.M. Ale Netherlands	28	1.5k 1.4×	225 0.4×	261 0.6×	418 1.3×	1.3k 4.8×	96	2.5k
David Blockley United Kingdom	26	520 0.5×	840 1.5×	145 0.4×	98 0.3×	176 0.6×	135	2.6k
Bilal M. Ayyub United States	37	1.6k 1.5×	2.6k 4.7×	375 0.9×	484 1.5×	308 1.1×	243	5.2k

Countries citing papers authored by Stanley Kaplan

Since Specialization

Citations

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

Fields of papers citing papers by Stanley Kaplan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanley Kaplan

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Gray, George M., Jeffrey C. Allen, David E. Burmaster, et al.. (1998). Principles for Conduct of Pest Risk Analyses: Report of an Expert Workshop. Risk Analysis. 18(6). 773–780. 9 indexed citations

2.

Gray, George M., Jeffrey C. Allen, David E. Burmaster, et al.. (1998). Principles for Conduct of Pest Risk Analyses: Report of an Expert Work hop. Risk Analysis. 18(6). 773–780. 2 indexed citations

3.

Kaplan, Stanley, et al.. (1996). Risk Assessment of a Deep Sea Pipeline. Offshore Technology Conference. 1 indexed citations

4.

Kaplan, Stanley. (1982). Matrix Theory Formalism for Event Tree Analysis: Application to Nuclear‐Risk Analysis. Risk Analysis. 2(1). 9–18. 30 indexed citations

5.

Kaplan, Stanley. (1981). On The Method of Discrete Probability Distributions in Risk and Reliability Calculations–Application to Seismic Risk Assessment. Risk Analysis. 1(3). 189–196. 84 indexed citations

6.

Kaplan, Stanley & B. John Garrick. (1981). On The Quantitative Definition of Risk. Risk Analysis. 1(1). 11–27. 1896 indexed citations breakdown →

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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