David J. Groggel

12.1k citations
15 papers · 6.8k indexed · 1 hit paper · h-index 9
Topics
Statistical Methods in Clinical Trials (4 papers)Optimal Experimental Design Methods (4 papers)Statistical Methods and Bayesian Inference (2 papers)
Partner nations
United States

In The Last Decade

David J. Groggel

13 papers receiving 6.3k citations

Hit Papers

Practical Nonparametric Statistics200020262008201720002.0k4.0k6.0k

Peers

David J. Groggel
Comparison fields: 5 of 237
  • Ecology 798
  • Artificial Intelligence 795
  • Global and Planetary Change 672
  • Management Science and Operations Research 473
  • Nature and Landscape Conservation 465
Replace J. Praagman with:
J. Praagman Netherlands
W. Allen Wallis United States
John M. Chambers United States
Elizabeth A. Peck United States
Naomi Altman United States
Frank J. Massey United States
Renato Assunção Brazil
Sture Holm Sweden
Paul D. Sampson United States
Andrea Johnson United States
David J. Groggel relative to J. Praagman Netherlands J. Praagman's profile →
Citations per field
00.5×20×40×61×
J. Praagman · 1×
Citations per year

Countries citing papers authored by David J. Groggel

Since Specialization
Citations

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

Fields of papers citing papers by David J. Groggel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Groggel. 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 David J. Groggel. The network helps show where David J. Groggel may publish in the future.

Co-authorship network of co-authors of David J. Groggel

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2
Practical Nonparametric Statisticsbreakdown →
6134
3 34
4 8
5 1
6 103
7 316
8 191
9 3
10 8
11 0
12 17
13 0
14 13
15 6

About David J. Groggel

David J. Groggel is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 15 papers that have together received 6.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Optimal Experimental Design Methods (4 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (376 citations), Software (148 citations) and Management Science and Operations Research (473 citations). David J. Groggel has collaborated with scholars based in United States. Frequent co-authors include W. J. Conover, John I. Marden, A. Papoulis, John H. Skillings, Jean Dickinson Gibbons, Dennis D. Wackerly, P. V. Rao, Robert L. Schaefer, David McCarthy and A. John Bailer. Their work appears in journals such as Technometrics, The American Statistician and Journal of Statistical Computation and Simulation.

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