Eric Beutner

767 citations
41 papers · 524 · h-index 16

Impact in

Papers in

Eric Beutner

40 papers receiving 499 citations

Peers

Eric Beutner
Comparison fields: 5 of 65
  • Statistics and Probability 378
  • Statistics, Probability and Uncertainty 257
  • Safety, Risk, Reliability and Quality 140
  • Finance 94
  • Management Science and Operations Research 92
Replace Kanchan Jain with:
Kanchan Jain India
Malwane M. A. Ananda United States
M. B. Rajarshi India
Gholam Reza Mohtashami Borzadaran Iran
Miguel Á. Sordo Spain
Nitin Gupta India
Yusra Tashkandy Saudi Arabia
Hafida Goual Algeria
Mohamed Ibrahim Egypt
S.K. Upadhyay India
Eric Beutner relative to Kanchan Jain India Kanchan Jain's profile →
Citations per field
00.5×1.5×1.9×
Kanchan Jain · 1×
Citations per year

Countries citing papers authored by Eric Beutner

Since Specialization
Citations

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

Fields of papers citing papers by Eric Beutner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Beutner. 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 Eric Beutner. The network helps show where Eric Beutner may publish in the future.

Co-authors

The 23 scholars most cited alongside Eric Beutner, 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 Eric Beutner Line = papers co-authored together Eric Beutner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200845
2 200939
3 201133
4 200832
5 200931
6 201029
7 200728
8 201127
9 201026
10 200923
11 200822
12 201220
13 201017
14 200717
15 201315
16 201315
17 201213
18 202010
19 201110
20 20129

About Eric Beutner

Eric Beutner is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Finance, Management Science and Operations Research and Safety, Risk, Reliability and Quality, having authored 41 papers that have together received 524 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (22 papers), Statistical Methods and Inference (11 papers), Probabilistic and Robust Engineering Design (11 papers), Financial Risk and Volatility Modeling (7 papers), Statistical Methods and Bayesian Inference (6 papers), Reliability and Maintenance Optimization (5 papers), Insurance, Mortality, Demography, Risk Management (4 papers) and Hydrology and Drought Analysis (4 papers). The work is most often cited by research in Statistics and Probability (378 citations), Statistics, Probability and Uncertainty (257 citations), Safety, Risk, Reliability and Quality (140 citations), Finance (94 citations) and Management Science and Operations Research (92 citations). Eric Beutner has collaborated with scholars based in Netherlands, Germany and Canada. Frequent co-authors include Udo Kamps, N. Balakrishnan, Henryk Zähle, Erhard Cramer, Maria Kateri, Antoon Pelsser, Paolo Zaffaroni, Laurent Bordes, Christopher Schlick and Hans Peters. Their work appears in journals such as Bernoulli, Journal of Multivariate Analysis, IEEE Transactions on Reliability, Journal of Statistical Planning and Inference and The Oncologist.

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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