Jerome Sacks

69 papers receiving 9.5k citations

Jerome Sacks's Hit Papers

Choosing the Sample Size of a Computer Experiment: A Practical Guide 2009 · 524 citations
5240+12+24Years since publication10002.0k3.0k4.0k5.0k

Peers

Jerome Sacks
Comparison fields: 5 of 174
  • Statistics, Probability and Uncertainty 3.9k
  • Management Science and Operations Research 3.9k
  • Computational Theory and Mathematics 5.0k
  • Statistics and Probability 966
  • Industrial and Manufacturing Engineering 1.0k
Replace Toby J. Mitchell with:
Toby J. Mitchell United States
Henry P. Wynn United Kingdom
Michael D. McKay United States
Reuven Y. Rubinstein Israel
J.P.C. Kleijnen Netherlands
Dirk P. Kroese Australia
Max D. Morris United States
Donald R. Jones United States
Aharon Ben‐Tal Israel
J. Kiefer United States
Jerome Sacks relative to Toby J. Mitchell United States Toby J. Mitchell's profile →
Citations per field
00.5×1.5×
Toby J. Mitchell · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jerome Sacks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jerome Sacks Line = papers co-authored together Jerome Sacks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design and Analysis of Computer Experiments
Hit paper breakdown →
19895433
2
Designs for Computer Experiments
Hit paper breakdown →
1989749
3
Choosing the Sample Size of a Computer Experiment: A Practical Guide
Hit paper breakdown →
2009524
4 1992479
5 1992445
6 1992342
7 1990292
8 1958258
9 1970219
10 1966132
11 1989128
12 1968103
13 1989102
14 199195
15 197892
16 198576
17 198159
18 199457
19 200156
20 196352

About Jerome Sacks

Jerome Sacks is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 70 papers that have together received 10.4k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (19 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Advanced Statistical Methods and Models (9 papers), Probabilistic and Robust Engineering Design (6 papers), Advanced Statistical Process Monitoring (6 papers), Statistical Methods and Inference (5 papers), Traffic control and management (5 papers) and Control Systems and Identification (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.9k citations), Management Science and Operations Research (3.9k citations), Computational Theory and Mathematics (5.0k citations), Statistics and Probability (966 citations) and Industrial and Manufacturing Engineering (1.0k citations). Jerome Sacks has collaborated with scholars based in United States, Canada and United Kingdom. Frequent 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, Sung Mo Kang and Tat-Kwan Yu. Their work appears in journals such as Technometrics, Statistical Science, The Annals of Statistics, Journal of the American Statistical Association and Evaluation Review.

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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