R. E. Little

452 citations
28 papers · 365 · h-index 10

Impact in

Papers in

R. E. Little

28 papers receiving 312 citations

Peers

R. E. Little
Comparison fields: 5 of 52
  • Statistics, Probability and Uncertainty 105
  • Mechanics of Materials 241
  • Mechanical Engineering 151
  • Civil and Structural Engineering 80
  • Statistics and Probability 30
Replace R. A. Everett with:
R. A. Everett United States
Zizi Lu United States
Nabil Ben Fredj Tunisia
J.T. Boyle United Kingdom
Zheng‐Yong Yu China
Levon Minnetyan United States
A. Bignonnet France
L. B. Ilcewicz United States
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R. E. Little relative to R. A. Everett United States R. A. Everett's profile →
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Countries citing papers authored by R. E. Little

Since Specialization
Citations

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

Fields of papers citing papers by R. E. Little

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside R. E. Little, 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 R. E. Little Line = papers co-authored together R. E. Little links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976103
2 198165
3 197238
4 197527
5 196919
6 199013
7 197412
8 19959
9 19749
10 19789
11 19818
12 19908
13 19697
14 19746
15 19686
16 19864
17 19773
18 19742
19 19942
20 19932

About R. E. Little

R. E. Little is a scholar working on Mechanics of Materials, Statistics, Probability and Uncertainty, Management Science and Operations Research, Mechanical Engineering and Statistics and Probability, having authored 28 papers that have together received 365 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (9 papers), Fatigue and fracture mechanics (8 papers), Optimal Experimental Design Methods (8 papers), Mechanical Behavior of Composites (6 papers), Advanced Statistical Methods and Models (6 papers), Metal Forming Simulation Techniques (2 papers), Statistical Methods and Inference (2 papers) and Non-Destructive Testing Techniques (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (105 citations), Mechanics of Materials (241 citations), Mechanical Engineering (151 citations), Civil and Structural Engineering (80 citations) and Statistics and Probability (30 citations). R. E. Little has collaborated with scholars based in United States. Frequent co-authors include Nancy R. Mann, P. K. Mallick, E. Kay, JE Masters, PA Lagace and W Steven Johnson. Their work appears in journals such as Journal of Testing and Evaluation, Journal of the American Statistical Association, Technometrics, SAE technical papers on CD-ROM/SAE technical paper series and Journal of the Royal Statistical Society Series C (Applied Statistics).

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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