David Vališ

64 papers receiving 575 citations

Peers

David Vališ
Comparison fields: 5 of 82
  • Safety, Risk, Reliability and Quality 138
  • Statistics, Probability and Uncertainty 76
  • Medical Laboratory Technology 15
  • Control and Systems Engineering 195
  • Automotive Engineering 96
Replace Dariusz Mazurkiewicz with:
Dariusz Mazurkiewicz Poland
Zafar Hameed Norway
S. Savio Italy
Sergey Ushakov Norway
Anna Gustafson Sweden
Guangqi Qiu China
Stefan Faulstich Germany
David Vališ relative to Dariusz Mazurkiewicz Poland Dariusz Mazurkiewicz's profile →
Citations per field
00.5×1.5×1.9×
Dariusz Mazurkiewicz · 1×
Citations per year

Countries citing papers authored by David Vališ

Since Specialization
Citations

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

Fields of papers citing papers by David Vališ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside David Vališ, 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 David Vališ Line = papers co-authored together David Vališ links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201551
3 201743
4 201433
5 201432
6 201731
7
Utilization of diffusion processes and fuzzy logic for vulnerability assessment
201430
8 201727
9 201924
10 201922
11 201721
12 202020
13 201717
14 201115
15
Engine residual technical life estimation based on tribo data
201413
16 201712
17 201912
18 200710
19 201710
20 20169

About David Vališ

David Vališ is a scholar working on Safety, Risk, Reliability and Quality, Mechanical Engineering, Automotive Engineering, Mechanics of Materials and Statistics, Probability and Uncertainty, having authored 75 papers that have together received 626 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (24 papers), Engineering Diagnostics and Reliability (14 papers), Technical Engine Diagnostics and Monitoring (12 papers), Lubricants and Their Additives (10 papers), Fault Detection and Control Systems (10 papers), Risk and Safety Analysis (8 papers), Engine and Fuel Emissions (8 papers) and Advanced Battery Technologies Research (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (138 citations), Statistics, Probability and Uncertainty (76 citations), Medical Laboratory Technology (15 citations), Control and Systems Engineering (195 citations) and Automotive Engineering (96 citations). David Vališ has collaborated with scholars based in Czechia, Poland and Serbia. Frequent co-authors include Jakub Gajewski, Dariusz Mazurkiewicz, Katarzyna Pietrucha-Urbanik, Petr Lánský, Jan Leuchter, Tomasz Nowakowski, Aneta Krzyżak, Artur Kierzkowski, Józef Jonak and Wojciech J. Nowak. Their work appears in journals such as Engineering Failure Analysis, Measurement, Tribology International, Eksploatacja i Niezawodnosc - Maintenance and Reliability and Archives of Civil and Mechanical 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.

Explore authors with similar magnitude of impact