Viliam Makiš

4.5k citations
126 papers · 3.5k · h-index 38

Impact in

Papers in

Viliam Makiš

123 papers receiving 3.3k citations

Peers

Viliam Makiš
Comparison fields: 5 of 92
  • Safety, Risk, Reliability and Quality 1.9k
  • Software 648
  • Medical Laboratory Technology 216
  • Statistics, Probability and Uncertainty 933
  • Statistics and Probability 578
Replace Nagi Gebraeel with:
Nagi Gebraeel United States
Wenbin Wang China
Antoine Grall France
Anne Barros France
Ershun Pan China
Tangbin Xia China
Xiaosheng Si China
Xian Zhao China
Hong‐Zhong Huang China
Qingan Qiu China
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Citations per field
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Citations per year

Countries citing papers authored by Viliam Makiš

Since Specialization
Citations

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

Fields of papers citing papers by Viliam Makiš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Viliam Makiš, 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 Viliam Makiš Line = papers co-authored together Viliam Makiš links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992147
2 2001140
3 2002118
4 2009112
5 200698
6 200977
7 199877
8 200476
9 200375
10 201172
11 201071
12 201566
13 199364
14 199762
15 201758
16 201957
17 201557
18 201856
19 201856
20 199856

About Viliam Makiš

Viliam Makiš is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Control and Systems Engineering, Statistics and Probability and Software, having authored 126 papers that have together received 3.5k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (77 papers), Statistical Distribution Estimation and Applications (34 papers), Fault Detection and Control Systems (29 papers), Software Reliability and Analysis Research (29 papers), Advanced Statistical Process Monitoring (25 papers), Machine Fault Diagnosis Techniques (21 papers), Risk and Safety Analysis (12 papers) and Supply Chain and Inventory Management (9 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (1.9k citations), Software (648 citations), Medical Laboratory Technology (216 citations), Statistics, Probability and Uncertainty (933 citations) and Statistics and Probability (578 citations). Viliam Makiš has collaborated with scholars based in Canada, China and South Africa. Frequent co-authors include Andrew Jardine, Dragan Banjević, Ming Yang, Michael Jong Kim, Qiang Miao, James Fung, Daming Lin, Xiangqian Jiang, Marguerite Ennis and Xiyang Wang. Their work appears in journals such as Computers & Industrial Engineering, Journal of the Operational Research Society, IMA Journal of Management Mathematics, Mechanical Systems and Signal Processing and Journal of Quality in Maintenance 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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