J.K. Vaurio

1.6k citations
61 papers · 1.2k · h-index 21

Impact in

Papers in

J.K. Vaurio

57 papers receiving 1.1k citations

Peers

J.K. Vaurio
Comparison fields: 5 of 68
  • Software 492
  • Statistics, Probability and Uncertainty 783
  • Safety, Risk, Reliability and Quality 864
  • Statistics and Probability 173
  • Medical Laboratory Technology 28
Replace C.H. Lie with:
C.H. Lie South Korea
Harold Ascher United States
J.B. Fussell United States
S. Carlos Spain
Inma T. Castro Spain
Jiangbin Zhao China
Bei Wu China
Nabil Nahas Canada
Y.S. Sherif United States
J.K. Vaurio relative to C.H. Lie South Korea C.H. Lie's profile →
Citations per field
00.5×2.9×
C.H. Lie · 1×
Citations per year

Countries citing papers authored by J.K. Vaurio

Since Specialization
Citations

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

Fields of papers citing papers by J.K. Vaurio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.K. Vaurio. 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 J.K. Vaurio. The network helps show where J.K. Vaurio may publish in the future.

Co-authors

The 3 scholars most cited alongside J.K. Vaurio, 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 J.K. Vaurio Line = papers co-authored together J.K. Vaurio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995114
2 199993
3 199891
4 199783
5 200360
6 200948
7 199447
8 200145
9 200440
10 201136
11 198026
12 199926
13 197926
14 200226
15 200525
16 200924
17 199723
18 199222
19 200222
20 201021

About J.K. Vaurio

J.K. Vaurio is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Software, Aerospace Engineering and Statistics and Probability, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Risk and Safety Analysis (36 papers), Reliability and Maintenance Optimization (32 papers), Software Reliability and Analysis Research (26 papers), Probabilistic and Robust Engineering Design (11 papers), Statistical Distribution Estimation and Applications (6 papers), Occupational Health and Safety Research (5 papers), Nuclear Engineering Thermal-Hydraulics (5 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Software (492 citations), Statistics, Probability and Uncertainty (783 citations), Safety, Risk, Reliability and Quality (864 citations), Statistics and Probability (173 citations) and Medical Laboratory Technology (28 citations). J.K. Vaurio has collaborated with scholars based in Finland, United States and Italy. Frequent co-authors include Charles J. Mueller, Enrico Zio and P. Jauho. Their work appears in journals such as Reliability Engineering & System Safety, Nuclear Engineering and Design, IEEE Transactions on Reliability, Risk Analysis and Nuclear Science and Engineering.

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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