Gregory F. Piepel

10.8k citations
34 papers · 8.0k indexed · 2 hit papers · h-index 15
Topics
Optimal Experimental Design Methods (18 papers)Spectroscopy and Chemometric Analyses (9 papers)Advanced Statistical Process Monitoring (7 papers)

In The Last Decade

Gregory F. Piepel

33 papers receiving 7.3k citations

Hit Papers

Robust Regression and Outlier Detection19882026200020131989198810002.0k3.0k4.0k

Peers

Gregory F. Piepel
Comparison fields: 5 of 211
  • Artificial Intelligence 2.0k
  • Statistics and Probability 1.9k
  • Computer Vision and Pattern Recognition 1000
  • Statistics, Probability and Uncertainty 995
  • Environmental Engineering 616
Replace Dean W. Wichern with:
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Gregory F. Piepel relative to Dean W. Wichern United States Dean W. Wichern's profile →
Citations per field
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Dean W. Wichern · 1×
Citations per year

Countries citing papers authored by Gregory F. Piepel

Since Specialization
Citations

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

Fields of papers citing papers by Gregory F. Piepel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory F. Piepel. 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 Gregory F. Piepel. The network helps show where Gregory F. Piepel may publish in the future.

Co-authorship network of co-authors of Gregory F. Piepel

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory F. Piepel. A scholar is included among the top collaborators of Gregory F. Piepel 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 Gregory F. Piepel. Gregory F. Piepel 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
#WorkIndexed citations
1 1
2
A TWO-STAGE LAYERED MIXTURE EXPERIMENT DESIGN FOR A NUCLEAR WASTE GLASS APPLICATION—PART 2
2
3 55
4
Effect of composition and temperature on viscosity and electrical conductivity of borosilicate glasses for Hanford nuclear waste immobilization
2
5 0
6 59
7 7
8 49
9 38
10
The Statistical Analysis of Compositional Databreakdown →
2808
11 36
12 6
13 10
14 42
15 7
16 29
17 18
18 17
19 7
20 45

About Gregory F. Piepel

Gregory F. Piepel is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 34 papers that have together received 8.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (18 papers), Spectroscopy and Chemometric Analyses (9 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Statistics, Probability and Uncertainty (995 citations) and Artificial Intelligence (2.0k citations). Gregory F. Piepel has collaborated with scholars based in United States, Norway and Finland. Frequent co-authors include Peter J. Rousseeuw, Annick M. Leroy, J. Aitchison, John A. Cornell, Khosrow Dehnad, L.A. Chick, E.R. Gilbert, Scott K. Cooley, Wing Kot and Brooke L. Deatherage Kaiser. Their work appears in journals such as Technometrics, Journal of the American Ceramic Society and Waste Management.

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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