Frank E. Grubbs

10.3k citations
32 papers · 6.3k · 4 hit papers · h-index 18

Impact in

Papers in

Frank E. Grubbs

31 papers receiving 5.7k citations

Frank E. Grubbs's Hit Papers

Procedures for Detecting Outlying Observations in Samples 1969 · 3.0k citations
3.0k0+19+39Years since publication50010001.5k2.0k2.5k

Peers

Frank E. Grubbs
Comparison fields: 5 of 227
  • Statistics and Probability 997
  • Statistics, Probability and Uncertainty 584
  • Mathematical Physics 322
  • Management Science and Operations Research 399
  • Artificial Intelligence 1.0k
Replace Myles Hollander with:
Myles Hollander United States
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Donald G. Watts Canada
C. Mallikarjuna Rao India
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C. Radhakrishna Rao United States
F. J. Anscombe United States
Robert F. Ling United States
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Countries citing papers authored by Frank E. Grubbs

Since Specialization
Citations

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

Fields of papers citing papers by Frank E. Grubbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank E. Grubbs. 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 Frank E. Grubbs. The network helps show where Frank E. Grubbs may publish in the future.

Co-authors

The 8 scholars most cited alongside Frank E. Grubbs, 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 Frank E. Grubbs Line = papers co-authored together Frank E. Grubbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Procedures for Detecting Outlying Observations in Samples
Hit paper breakdown →
19692960
2
An Introduction to Probability Theory and its Applications
Hit paper breakdown →
1967893
3
An Introduction to Probability Theory and Its Applications, Volume II
Hit paper breakdown →
1967778
4
Procedures for Detecting Outlying Observations in Samples
Hit paper breakdown →
1969606
5 1972424
6 1972107
7 197398
8 197185
9 195853
10 198338
11 197425
12 196424
13 197223
14 197323
15 197121
16 197119
17 197419
18 195619
19 197416
20 196410

About Frank E. Grubbs

Frank E. Grubbs is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Management Science and Operations Research and Aerospace Engineering, having authored 32 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Reliability and Maintenance Optimization (8 papers), Statistical Distribution Estimation and Applications (7 papers), Probabilistic and Robust Engineering Design (6 papers), Software Reliability and Analysis Research (4 papers), Optimal Experimental Design Methods (3 papers), Military Defense Systems Analysis (3 papers) and Guidance and Control Systems (2 papers). The work is most often cited by research in Statistics and Probability (997 citations), Statistics, Probability and Uncertainty (584 citations), Mathematical Physics (322 citations), Management Science and Operations Research (399 citations) and Artificial Intelligence (1.0k citations). Frank E. Grubbs has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William Feller, Glenn Beck, Nancy R. Mann, George J. Resnikoff, G. J. Lieberman, A. E. Sarhan, Bernard Greenberg and E. S. Pearson. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Operations Research, Biometrika and Journal of Quality Technology.

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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