Jerome Sacks

13.5k total citations · 3 hit papers
66 papers, 9.6k citations indexed

About

Jerome Sacks is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Jerome Sacks has authored 66 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 15 papers in Computational Theory and Mathematics and 14 papers in Statistics and Probability. Recurrent topics in Jerome Sacks's work include Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Advanced Statistical Methods and Models (9 papers). Jerome Sacks is often cited by papers focused on Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Advanced Statistical Methods and Models (9 papers). Jerome Sacks collaborates with scholars based in United States, Canada and United Kingdom. Jerome Sacks's co-authors include William J. Welch, Henry P. Wynn, Toby J. Mitchell, Donald Ylvisaker, Susannah B. Schiller, Jason L. Loeppky, R. Buck, Max D. Morris, Tat-Kwan Yu and Sung Mo Kang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Jerome Sacks

64 papers receiving 8.8k citations

Hit Papers

Design and Analysis of Computer Experiments 1989 2026 2001 2013 1989 1989 2009 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerome Sacks United States 29 4.6k 3.6k 3.6k 1.4k 954 66 9.6k
Toby J. Mitchell United States 29 4.6k 1.0× 3.4k 0.9× 3.4k 1.0× 1.7k 1.2× 949 1.0× 74 12.1k
Henry P. Wynn United Kingdom 26 4.7k 1.0× 3.2k 0.9× 3.8k 1.1× 1.6k 1.1× 826 0.9× 164 9.8k
Michael D. McKay United States 20 2.9k 0.6× 3.4k 0.9× 2.0k 0.6× 1.2k 0.9× 1.5k 1.6× 26 13.8k
J.P.C. Kleijnen Netherlands 43 2.1k 0.4× 1.4k 0.4× 3.6k 1.0× 697 0.5× 380 0.4× 242 7.8k
J. E. Dennis United States 40 6.8k 1.5× 1.6k 0.4× 1.2k 0.4× 3.0k 2.2× 1.3k 1.4× 86 18.0k
Donald R. Jones United States 12 4.4k 1.0× 2.1k 0.6× 1.9k 0.5× 2.2k 1.6× 869 0.9× 21 8.5k
Reuven Y. Rubinstein Israel 29 1.2k 0.3× 2.0k 0.5× 1.6k 0.4× 2.3k 1.6× 449 0.5× 69 10.8k
Max D. Morris United States 23 2.0k 0.4× 2.5k 0.7× 1.5k 0.4× 601 0.4× 626 0.7× 111 8.4k
Changbao Wu Canada 38 1.8k 0.4× 1.5k 0.4× 2.9k 0.8× 1.5k 1.1× 313 0.3× 137 7.9k
I. M. Sobol Russia 24 1.7k 0.4× 5.3k 1.5× 910 0.3× 605 0.4× 1.1k 1.1× 73 12.3k

Countries citing papers authored by Jerome Sacks

Since Specialization
Citations

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

Fields of papers citing papers by Jerome Sacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerome Sacks

This figure shows the co-authorship network connecting the top 25 collaborators of Jerome Sacks. A scholar is included among the top collaborators of Jerome Sacks 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 Jerome Sacks. Jerome Sacks 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.
Kiefer, Daniel, Jerome Sacks, & Donald Ylvisaker. (2016). Statistics, Civil Rights and The US Supreme Court: A Cautionary Tale. Significance. 13(2). 30–33. 1 indexed citations
2.
Chen, Hao, Jason L. Loeppky, Jerome Sacks, & William J. Welch. (2016). Analysis Methods for Computer Experiments: How to Assess and What Counts?. Statistical Science. 31(1). 30 indexed citations
3.
Frenklach, Michael, Andrew Packard, Gonzalo García‐Donato, Rui Paulo, & Jerome Sacks. (2016). Comparison of Statistical and Deterministic Frameworks of Uncertainty Quantification. SIAM/ASA Journal on Uncertainty Quantification. 4(1). 875–901. 33 indexed citations
4.
Loeppky, Jason L., Jerome Sacks, & William J. Welch. (2009). Choosing the Sample Size of a Computer Experiment: A Practical Guide. Technometrics. 51(4). 366–376. 496 indexed citations breakdown →
5.
Paulo, Rui, et al.. (2005). Calibrating and Validating Deterministic Traffic Models: Application to Highway Capacity Manual Control Delay at Signalized Intersections. Transportation Research Record Journal of the Transportation Research Board. 1920. 95–105. 2 indexed citations
6.
Paulo, Rui, et al.. (2005). Calibrating and Validating Deterministic Traffic Models. Transportation Research Record Journal of the Transportation Research Board. 1920(1). 95–105. 4 indexed citations
7.
Bayarri, M. J., James O. Berger, Germán Molina, Nagui M. Rouphail, & Jerome Sacks. (2004). Assessing Uncertainties in Traffic Simulation: A Key Component in Model Calibration and Validation. Transportation Research Record Journal of the Transportation Research Board. 1876(1). 32–40. 13 indexed citations
8.
Lim, Yong Bin, Jerome Sacks, W. J. Studden, & William J. Welch. (2002). Design and analysis of computer experiments when the output is highly correlated over the input space. Canadian Journal of Statistics. 30(1). 109–126. 30 indexed citations
9.
Abt, Markus, William J. Welch, & Jerome Sacks. (1999). Design and Analysis for Modeling and Predicting Spatial Contamination. 31(1). 1–22. 12 indexed citations
10.
Welch, William J., R. Buck, Jerome Sacks, et al.. (1996). Response to James M. Lucas. Technometrics. 38(2). 199–203. 7 indexed citations
11.
Gao, Feng, Jerome Sacks, & William J. Welch. (1996). Predicting Urban Ozone Levels and Trends with Semiparametric Modeling. Journal of Agricultural Biological and Environmental Statistics. 1(4). 404–404. 10 indexed citations
12.
Nair, Vijayan N., Bovas Abraham, Jock MacKay, et al.. (1992). Taguchi's Parameter Design: A Panel Discussion. Technometrics. 34(2). 127–161. 309 indexed citations
13.
Cox, Dennis D., et al.. (1992). Tuning complex computer code to data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
14.
Welch, William J. & Jerome Sacks. (1991). A system for quality improvement via computer experiments. Communication in Statistics- Theory and Methods. 20(2). 477–495. 47 indexed citations
15.
Freedman, David A., et al.. (1991). Ecological Regression and Voting Rights. Evaluation Review. 15(6). 673–711. 76 indexed citations
16.
Welch, William J., Tat-Kwan Yu, Sung Mo Kang, & Jerome Sacks. (1990). Computer Experiments for Quality Control by Parameter Design. Journal of Quality Technology. 22(1). 15–22. 271 indexed citations
17.
Sacks, Jerome, Susannah B. Schiller, & William J. Welch. (1989). Designs for Computer Experiments. Technometrics. 31(1). 41–47. 702 indexed citations breakdown →
18.
Knafl, George J., Jerome Sacks, & Donald Ylvisaker. (1985). Confidence Bands for Regression Functions. Journal of the American Statistical Association. 80(391). 683–683. 19 indexed citations
19.
Sacks, Jerome & Donald Ylvisaker. (1978). Linear Estimation for Approximately Linear Models. The Annals of Statistics. 6(5). 85 indexed citations
20.
Bickel, Peter J., Frank R. Hampel, Richard A. Olshen, et al.. (1977). Discussion: Consistent Nonparametric Regression. The Annals of Statistics. 5(4). 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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