Edwin L. Crow

2.0k citations
49 papers · 1.5k indexed · h-index 16

Edwin L. Crow

46 papers receiving 1.3k citations

Peers

Edwin L. Crow
Comparison fields: 5 of 173
  • Statistics and Probability 389
  • Statistics, Probability and Uncertainty 177
  • Finance 103
  • Aging 17
  • Management Science and Operations Research 118
Replace Allen T. Craig with:
Allen T. Craig
Kathleen Kocherlakota Canada
J. Leroy Folks United States
E. Limpert Switzerland
Yogendra P. Chaubey Canada
Larry Rabinowitz United States
Scott D. Grimshaw United States
M. H. Quenouille United Kingdom
Wai Wan Tsang Hong Kong
T. P. Hutchinson Australia
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Citations per field
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Allen T. Craig · 1×
Citations per year

Countries citing papers authored by Edwin L. Crow

Since Specialization
Citations

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

Fields of papers citing papers by Edwin L. Crow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin L. Crow. 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 Edwin L. Crow. The network helps show where Edwin L. Crow may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Edwin L. Crow, 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 Edwin L. Crow Line = papers co-authored together Edwin L. Crow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199710
2 19907
3 198994
4 198978
5 19823
6 19799
7 19799
8 19785
9
Confidence Limits for Digital Error Rates from Dependent Transmissions
19772
10 197715
11
A Minimum Cost, Accurate Statistical Method to Measure Bit Error Rates.
19764
12 19752
13
Confidence limits for digital error rates
19744
14 1973105
15 1968164
16 196453
17 196127
18 1959151
19 1956116
20 19553

About Edwin L. Crow

Edwin L. Crow is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Earth-Surface Processes, Environmental Engineering and Atmospheric Science, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (7 papers), Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Bayesian Inference (5 papers), Meteorological Phenomena and Simulations (5 papers), Advanced Frequency and Time Standards (4 papers), Statistical Methods and Inference (3 papers), Advanced Statistical Methods and Models (3 papers) and Aeolian processes and effects (3 papers). The work is most often cited by research in Statistics and Probability (389 citations), Statistics, Probability and Uncertainty (177 citations), Finance (103 citations), Aging (17 citations) and Management Science and Operations Research (118 citations). Edwin L. Crow has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert S. Gardner, M. M. Siddiqui, Kazuo Shimizu, Julius S. Bendat, Allan G. Piersol, Kunio Shimizu, Gary C. McDonald, P. Holgate, Kunio Shimizu and J. Marcus Jobe. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Botanical Journal of the Linnean Society, Radio Science and Technometrics.

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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