Igor Pavlov

492 citations
19 papers · 107 · h-index 5

Impact in

Papers in

Igor Pavlov

14 papers receiving 96 citations

Peers

Igor Pavlov
Comparison fields: 5 of 38
  • Statistics, Probability and Uncertainty 52
  • Statistics and Probability 25
  • Safety, Risk, Reliability and Quality 24
  • Mechanics of Materials 28
  • Management Science and Operations Research 14
Replace B Gnedenko with:
B Gnedenko United States
Konstantin N. Nechval Latvia
Pidong Wang China
Luiz Henrique Bonani Brazil
Thornton C. Fry Netherlands
Kathryn Maupin United States
Arto Niemi Germany
V.L. Arienti Brazil
Gregory Dane Wyss United States
Sang Wook Chung South Korea
Igor Pavlov relative to B Gnedenko United States B Gnedenko's profile →
Citations per field
00.5×1.5×2.3×
B Gnedenko · 1×
Citations per year

Countries citing papers authored by Igor Pavlov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Pavlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Igor Pavlov, 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 Igor Pavlov Line = papers co-authored together Igor Pavlov links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199135
2 199926
3 198812
4 20177
5 20184
6 20174
7 20154
8 20123
9 20153
10 20152
11 19812
12 20171
13 19931
14 20131
15 19851
16 20181
17 20180
18 20190
19 20200

About Igor Pavlov

Igor Pavlov is a scholar working on Mechanics of Materials, Materials Chemistry, Safety, Risk, Reliability and Quality, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 19 papers that have together received 107 indexed citations. Recurring topics across this work include Engineering Diagnostics and Reliability (12 papers), Material Properties and Failure Mechanisms (6 papers), Reliability and Maintenance Optimization (5 papers), Advanced Data Processing Techniques (4 papers), Industrial Engineering and Technologies (3 papers), Advanced Statistical Process Monitoring (2 papers), Aerospace, Electronics, Mathematical Modeling (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (52 citations), Statistics and Probability (25 citations), Safety, Risk, Reliability and Quality (24 citations), Mechanics of Materials (28 citations) and Management Science and Operations Research (14 citations). Igor Pavlov has collaborated with scholars based in Russia. Frequent co-authors include Igor Ushakov and B Gnedenko. Their work appears in journals such as Journal of Machinery Manufacture and Reliability, Herald of the Bauman Moscow State Technical University Series Natural Sciences, Automation and Remote Control, Theory of Probability and Its Applications and Measurement Techniques.

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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