Ronald E. Glaser

1.3k citations
22 papers · 931 · h-index 13

Impact in

Papers in

Ronald E. Glaser

20 papers receiving 852 citations

Peers

Ronald E. Glaser
Comparison fields: 5 of 89
  • Statistics and Probability 606
  • Statistics, Probability and Uncertainty 329
  • Safety, Risk, Reliability and Quality 158
  • Geophysics 171
  • Management Science and Operations Research 131
Replace Abhimanyu Singh Yadav with:
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N. Unnikrishnan Nair India
Ram C. Dahiya United States
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Citations per field
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Citations per year

Countries citing papers authored by Ronald E. Glaser

Since Specialization
Citations

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

Fields of papers citing papers by Ronald E. Glaser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ronald E. Glaser, 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 Ronald E. Glaser Line = papers co-authored together Ronald E. Glaser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980387
2 1989114
3 198086
4 200572
5 197647
6 197845
7 197633
8 199032
9 199029
10 198026
11 198414
12 197613
13 197812
14 19767
15 20075
16 19953
17
A Markov Chain Monte Carlo Based Method for System Identification
20022
18
Analysis and optimization of low-earth-orbit communication links
19921
19
REGIONAL-SCALE WIND FIELD CLASSIFICATION EMPLOYING CLUSTER ANALYSIS
20041
20 19801

About Ronald E. Glaser

Ronald E. Glaser is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Management Science and Operations Research and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 931 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical Distribution Estimation and Applications (8 papers), Probabilistic and Robust Engineering Design (8 papers), Statistical Methods in Clinical Trials (4 papers), Bayesian Methods and Mixture Models (4 papers), Reliability and Maintenance Optimization (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (606 citations), Statistics, Probability and Uncertainty (329 citations), Safety, Risk, Reliability and Quality (158 citations), Geophysics (171 citations) and Management Science and Operations Research (131 citations). Ronald E. Glaser has collaborated with scholars based in United States and South Korea. Frequent co-authors include Steven R. Taylor, Min‐Te Chao, Marvin D. Denny, Jerome P. Keating, Norma S. Ketchum, J.J. Nitao, Abelardo Ramirez, Roger D. Aines, William Daily and Samarjit Sengupta. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Technometrics, Journal of Geophysical Research Atmospheres and Bulletin of the Seismological Society of America.

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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