B. John Garrick

4.1k total citations · 1 hit paper
40 papers, 2.5k citations indexed

About

B. John Garrick is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Safety, Risk, Reliability and Quality. According to data from OpenAlex, B. John Garrick has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics, Probability and Uncertainty, 17 papers in Sociology and Political Science and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in B. John Garrick's work include Risk and Safety Analysis (28 papers), Risk Perception and Management (17 papers) and Nuclear and radioactivity studies (15 papers). B. John Garrick is often cited by papers focused on Risk and Safety Analysis (28 papers), Risk Perception and Management (17 papers) and Nuclear and radioactivity studies (15 papers). B. John Garrick collaborates with scholars based in United States, United Kingdom and Ireland. B. John Garrick's co-authors include Stanley Kaplan, Stan Kaplan, Yacov Y. Haimes, S. Kaplan, G. Apostolakis, James E. Hall, E.L. Zebroski, John C. McDonald, Peter Probst and Max Kilger and has published in prestigious journals such as Reliability Engineering & System Safety, Risk Analysis and Safety Science.

In The Last Decade

B. John Garrick

36 papers receiving 2.2k citations

Hit Papers

On The Quantitative Definition of Risk 1981 2026 1996 2011 1981 500 1000 1.5k
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.

  1. On The Quantitative Definition of Risk
    1981 1.9k citations B. John Garrick et al. Risk Analysis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. John Garrick United States 12 1.3k 701 533 409 362 40 2.5k
Stanley Kaplan United States 4 1.1k 0.8× 544 0.8× 408 0.8× 330 0.8× 277 0.8× 6 2.0k
M. Elisabeth Paté‐Cornell United States 24 1.1k 0.8× 380 0.5× 241 0.5× 407 1.0× 507 1.4× 68 2.4k
Vicki M. Bier United States 33 1.2k 0.9× 1.5k 2.2× 871 1.6× 320 0.8× 297 0.8× 108 3.6k
G. Apostolakis United States 35 2.8k 2.1× 821 1.2× 418 0.8× 1.1k 2.7× 593 1.6× 159 4.4k
Tim Bedford United Kingdom 27 1.2k 0.9× 349 0.5× 180 0.3× 628 1.5× 297 0.8× 106 4.2k
Bilal M. Ayyub United States 37 1.6k 1.2× 2.6k 3.7× 375 0.7× 484 1.2× 308 0.9× 243 5.2k
B.J.M. Ale Netherlands 28 1.5k 1.1× 225 0.3× 261 0.5× 418 1.0× 1.3k 3.7× 96 2.5k
James H. Lambert United States 35 1.2k 0.9× 1.9k 2.7× 770 1.4× 452 1.1× 271 0.7× 225 4.7k
Wolfgang Kröger Switzerland 15 313 0.2× 594 0.8× 331 0.6× 148 0.4× 138 0.4× 42 1.4k
Şebnem Düzgün Türkiye 29 300 0.2× 541 0.8× 379 0.7× 499 1.2× 290 0.8× 125 3.1k

Countries citing papers authored by B. John Garrick

Since Specialization
Citations

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

Fields of papers citing papers by B. John Garrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. John Garrick. 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 B. John Garrick. The network helps show where B. John Garrick may publish in the future.

Co-authorship network of co-authors of B. John Garrick

This figure shows the co-authorship network connecting the top 25 collaborators of B. John Garrick. A scholar is included among the top collaborators of B. John Garrick 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 B. John Garrick. B. John Garrick 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.
Garrick, B. John & Ali Mosleh. (2020). Embracing the Risk Sciences to Enhance Air Travel Safety. 50(2).
2.
Metlay, Daniel, et al.. (2012). Management of Radioactive Waste: A Socio-Technical Challenge. 42(2). 2 indexed citations
3.
Garrick, B. John. (2010). Interval Analysis Versus Probabilistic Analysis. Risk Analysis. 30(3). 369–370. 11 indexed citations
4.
Garrick, B. John, et al.. (2010). Quantitative Risk Assessment of the New York State Operated West Valley Radioactive Waste Disposal Area. Risk Analysis. 30(8). 1219–1230. 15 indexed citations
5.
Garrick, B. John. (2003). THE CURRENT STATUS, SAFETY, AND TRANSPORTATION OF SPENT NUCLEAR FUEL. 33(3). 3 indexed citations
6.
Garrick, B. John. (2002). Perspectives on the Use of Risk Assessment to Address Terrorism. Risk Analysis. 22(3). 421–423. 21 indexed citations
7.
Kaplan, Stan, Yacov Y. Haimes, & B. John Garrick. (2001). Fitting Hierarchical Holographic Modeling into the Theory of Scenario Structuring and a Resulting Refinement to the Quantitative Definition of Risk. Risk Analysis. 21(5). 807–807. 153 indexed citations
8.
Garrick, B. John, et al.. (1991). The Analysis, Communication, and Perception of Risk. 57 indexed citations
9.
Garrick, B. John. (1989). Risk Assessment Practices in the Space Industry: The Move Toward Quantification. Risk Analysis. 9(1). 1–7. 6 indexed citations
10.
Garrick, B. John. (1984). Recent Case Studies and Advancements in Probabilistic Risk Assessment. Risk Analysis. 4(4). 267–279. 33 indexed citations
11.
Garrick, B. John, et al.. (1983). The matrix method for handling model interfaces - risk assembly and decomposition. Transactions of the American Nuclear Society. 44. 1 indexed citations
12.
Apostolakis, G., B. John Garrick, & D. Okrent. (1983). Quality, peer review, and the achievement of consensus in probabilistic risk analysis. 7 indexed citations
13.
Kaplan, S., B. John Garrick, & G. Apostolakis. (1981). Advances in Quantitative Risk Assessment--The Maturing of a Discipline. IEEE Transactions on Nuclear Science. 28(1). 944–946. 4 indexed citations
14.
Kaplan, S., et al.. (1981). On the use of Bayes' Theorem in assessing the frequency of anticipated transients. Nuclear Engineering and Design. 65(1). 23–31. 11 indexed citations
15.
Apostolakis, G., et al.. (1979). Assessment of the frequency of failure to scram in light-water reactors. 4(12). nzaa171–nzaa171. 3 indexed citations
16.
Kaplan, Stan & B. John Garrick. (1979). On the Use of a Bayesian Reasoning in Safety and Reliability Decisions—Three Examples. Nuclear Technology. 44(2). 231–245. 8 indexed citations
17.
Garrick, B. John & Stan Kaplan. (1976). Reliability Technology and Nuclear Power. IEEE Transactions on Reliability. R-25(3). 151–157. 3 indexed citations
18.
Garrick, B. John. (1970). Principles of unified systems safety analysis. Nuclear Engineering and Design. 13(2). 245–321. 15 indexed citations
19.
Garrick, B. John, et al.. (1966). AN ANALYSIS OF NUCLEAR POWER PLANT OPERATING AND SAFETY EXPERIENCE.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
20.
Garrick, B. John, et al.. (1965). Some Aspect of Protective Systems in Nuclear Power Plants. IEEE Transactions on Nuclear Science. 12(6). 22–30. 2 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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