Sergey Oladyshkin

1.6k citations
52 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Sergey Oladyshkin

50 papers receiving 1.2k citations

Sergey Oladyshkin's Hit Papers

Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion 2012 · 332 citations
3320+4+9Years since publication100200300

Peers

Sergey Oladyshkin
Comparison fields: 5 of 89
  • Statistics, Probability and Uncertainty 597
  • Environmental Engineering 489
  • Ocean Engineering 261
  • Civil and Structural Engineering 263
  • Computational Theory and Mathematics 175
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John Jakeman United States
Thierry A. Mara France
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Countries citing papers authored by Sergey Oladyshkin

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Oladyshkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion
Hit paper breakdown →
2012332
2 2020108
3 201185
4 201164
5 201157
6 201341
7 202036
8 201635
9 201534
10 201334
11 201227
12 201925
13 201725
14 202022
15 202318
16 201817
17 202016
18 201616
19 202215
20 201915

About Sergey Oladyshkin

Sergey Oladyshkin is a scholar working on Environmental Engineering, Statistics, Probability and Uncertainty, Ocean Engineering, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (25 papers), Groundwater flow and contamination studies (14 papers), CO2 Sequestration and Geologic Interactions (14 papers), Reservoir Engineering and Simulation Methods (12 papers), Model Reduction and Neural Networks (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers) and Enhanced Oil Recovery Techniques (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (597 citations), Environmental Engineering (489 citations), Ocean Engineering (261 citations), Civil and Structural Engineering (263 citations) and Computational Theory and Mathematics (175 citations). Sergey Oladyshkin has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Wolfgang Nowak, Holger Class, Sinan Xiao, Rainer Helmig, Felipe P. J. de Barros, М. Panfilov, Liwei Zhang, Ahmed H. Elsheikh, S. Geiger and Ingo Sass. Their work appears in journals such as Computational Geosciences, International journal of greenhouse gas control, Reliability Engineering & System Safety, Water Resources Research and Advances in Water Resources.

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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