Ėduard Hofer

659 citations
23 papers · 439 · h-index 10

Impact in

Papers in

Ėduard Hofer

21 papers receiving 413 citations

Peers

Ėduard Hofer
Comparison fields: 5 of 89
  • Statistics, Probability and Uncertainty 244
  • Safety, Risk, Reliability and Quality 61
  • Radiological and Ultrasound Technology 33
  • Software 21
  • Aerospace Engineering 115
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Kari Sentz United States
Kilian Zwirglmaier Germany
V. Venkat Raj India
Nicolas Devictor France
Joon-Eon Yang South Korea
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Richard Denning United States
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Citations per field
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Citations per year

Countries citing papers authored by Ėduard Hofer

Since Specialization
Citations

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

Fields of papers citing papers by Ėduard Hofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ėduard Hofer, 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 Ėduard Hofer Line = papers co-authored together Ėduard Hofer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002132
2 199966
3 199455
4 199645
5 201442
6 200813
7 199611
8 201810
9 19979
10
Report of the Uncertainty Methods Study for advanced best estimate thermalhydraulic code applications
19989
11 19999
12 19868
13 19857
14 19826
15
Report on the Uncertainty Methods Study
19986
16 20073
17 19922
18 19752
19
Selected examples of practical approaches for the assessment of model reliability - parameter uncertainty analysis
19872
20 20071

About Ėduard Hofer

Ėduard Hofer is a scholar working on Statistics, Probability and Uncertainty, Aerospace Engineering, Safety, Risk, Reliability and Quality, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 439 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (9 papers), Risk and Safety Analysis (8 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Nuclear reactor physics and engineering (3 papers), Statistical Methods and Bayesian Inference (3 papers), Radiation Dose and Imaging (3 papers), Reliability and Maintenance Optimization (2 papers) and Scientific Measurement and Uncertainty Evaluation (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (244 citations), Safety, Risk, Reliability and Quality (61 citations), Radiological and Ultrasound Technology (33 citations), Software (21 citations) and Aerospace Engineering (115 citations). Ėduard Hofer has collaborated with scholars based in Germany and United States. Frequent co-authors include B. Krzykacz-Hausmann, F.O. Hoffman, Steven L. Simon, H. Glaeser, T. Skorek, Nikolay Ivanov Kolev, Ronald L. Iman, D. Struwe, Stephen C. Hora and Claudia Lage. Their work appears in journals such as Health Physics, Reliability Engineering & System Safety, Nuclear Technology, Experimental Thermal and Fluid Science and Nuclear Engineering and Design.

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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