Jack Carl Kiefer

16 papers receiving 458 citations

Peers

Jack Carl Kiefer
Comparison fields: 5 of 101
  • Statistics and Probability 219
  • Management Science and Operations Research 158
  • Artificial Intelligence 126
  • Computational Theory and Mathematics 103
  • Statistics, Probability and Uncertainty 82
Replace Václav Fabian with:
Václav Fabian United States
R. C. H. Cheng United Kingdom
R.B. Bapat India
Stavros Papastavridis Greece
Frosso S. Makri Greece
Chien-Fu Wu United States
D. R. Jensen United States
Edward Silverman United States
László Gerencsér Hungary
Sigeo Aki Japan
Jack Carl Kiefer relative to Václav Fabian United States Václav Fabian's profile →
Citations per field
00.5×1.5×
Václav Fabian · 1×
Citations per year

Countries citing papers authored by Jack Carl Kiefer

Since Specialization
Citations

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

Fields of papers citing papers by Jack Carl Kiefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Carl Kiefer. 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 Jack Carl Kiefer. The network helps show where Jack Carl Kiefer may publish in the future.

Co-authorship network of co-authors of Jack Carl Kiefer

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 3
3 12
4
WATER CONSERVATION MEASUREMENT METRICS
2
5
Water rates and ratemaking practices in Illinois community water systems
1
6 22
7 25
8 0
9 8
10 22
11
Jack Carl Kiefer collected papers
11
12
Proceedings of the Berkeley conference in honor of Jerzy Neyman and Jack Kiefer
121
13
Collected Papers III: Design of Experiments
20
14 12
15 1
16
Sequential identification and ranking procedures : with special reference to Koopman-Darmois populations
89
17 195
18 0

About Jack Carl Kiefer

Jack Carl Kiefer is a scholar working on Water Science and Technology, Ocean Engineering and Civil and Structural Engineering, having authored 18 papers that have together received 548 indexed citations. Recurring topics across this work include Water Systems and Optimization (3 papers), Water resources management and optimization (3 papers) and Water-Energy-Food Nexus Studies (2 papers). The work is most often cited by research in Statistics and Probability (219 citations), Management Science and Operations Research (158 citations) and Statistics, Probability and Uncertainty (82 citations). Jack Carl Kiefer has collaborated with scholars based in United States. Frequent co-authors include Milton Sobel, Robert E. Bechhofer, Jerzy Neyman, Richard A. Olshen, Lucien M. Le Cam, Ching‐Shui Cheng, Lawrence D. Brown, Ingram Olkin, Jerome Sacks and Henry P. Wynn. Their work appears in journals such as Journal of the American Statistical Association, Pacific Journal of Mathematics and American Water Works Association.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026