David Vališ

786 citations
66 papers · 561 indexed · h-index 14

David Vališ

55 papers receiving 514 citations

Peers

David Vališ
Comparison fields: 5 of 82
  • Safety, Risk, Reliability and Quality 127
  • Statistics, Probability and Uncertainty 66
  • Control and Systems Engineering 186
  • Medical Laboratory Technology 12
  • Automotive Engineering 82
Replace Zafar Hameed with:
Zafar Hameed Norway
Sergey Ushakov Norway
Stefan Faulstich Germany
S. Savio Italy
Xiaoyan Shao China
Xiao Han China
Jichuan Kang China
Zhonghai Ma China
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Citations per field
00.5×3.6×
Zafar Hameed · 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-authorship network

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
#Work
1 20251
2 20250
3 20243
4 20246
5 20241
6 20234
7 20230
8 20205
9 20195
10 20180
11 20183
12 20171
13 201721
14
Engine residual technical life estimation based on tribo data
20148
15
Utilization of diffusion processes and fuzzy logic for vulnerability assessment
201425
16
Selected Options of Vulnerability Assessment – State of the Art in Literature Review
20131
17 201113
18
Reliability of complex system with one shot items
20071
19 20079
20
Fuzzy probability used for description of risk and dependability factors
20060

About David Vališ

David Vališ is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Automotive Engineering, Mechanics of Materials and Mechanical Engineering, having authored 66 papers that have together received 561 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (22 papers), Engineering Diagnostics and Reliability (12 papers), Technical Engine Diagnostics and Monitoring (11 papers), Lubricants and Their Additives (10 papers), Fault Detection and Control Systems (8 papers), Engine and Fuel Emissions (6 papers), Risk and Safety Analysis (6 papers) and Water Systems and Optimization (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (127 citations), Statistics, Probability and Uncertainty (66 citations), Control and Systems Engineering (186 citations), Medical Laboratory Technology (12 citations) and Automotive Engineering (82 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, Aneta Krzyżak, Józef Jonak, Tomasz Nowakowski, Mariusz Walczak and Artur Kierzkowski. 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.

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