Pavel Shevchenko

1.8k citations
40 papers · 1.4k indexed · 2 hit papers · h-index 16

Pavel Shevchenko

38 papers receiving 1.4k citations

Hit Papers

Machine learning–aided real-time detection of keyhol...1922021202620222024100200300

Peers

Pavel Shevchenko
Comparison fields: 5 of 131
  • Automotive Engineering 518
  • Energy Engineering and Power Technology 66
  • Electrical and Electronic Engineering 724
  • Mechanical Engineering 250
  • Sensory Systems 29
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Pengbo Zhang China
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Pavel Shevchenko relative to Yasuhiro Saito Japan Yasuhiro Saito's profile →
Citations per field
00.5×10×14.8×
Yasuhiro Saito · 1×
Citations per year

Countries citing papers authored by Pavel Shevchenko

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Shevchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202523
2 20250
3 20240
4 20245
5 202411
6 20243
7 20235
8 202332
9
Machine learning–aided real-time detection of keyhole pore generation in laser powder bed fusionbreakdown →
2023192
10 20231
11 20238
12 202362
13 202385
14 202229
15 20227
16 20222
17 20216
18
Linking void and interphase evolution to electrochemistry in solid-state batteries using operando X-ray tomographybreakdown →
2021322
19 202114
20 202052

About Pavel Shevchenko

Pavel Shevchenko is a scholar working on Structural Biology, Radiation and Automotive Engineering, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (9 papers), Advancements in Battery Materials (8 papers), Advanced X-ray Imaging Techniques (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Advanced Battery Technologies Research (6 papers), Seismic Imaging and Inversion Techniques (5 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers) and Methane Hydrates and Related Phenomena (4 papers). The work is most often cited by research in Automotive Engineering (518 citations), Energy Engineering and Power Technology (66 citations) and Electrical and Electronic Engineering (724 citations). Pavel Shevchenko has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Francesco De Carlo, Matthew T. McDowell, John A. Lewis, Partha P. Mukherjee, Bairav S. Vishnugopi, Francisco Javier Quintero Cortes, Deborah J. Nelson, Ludmila V. Deriy, Yuhgene Liu and Lin Gao. Their work appears in journals such as Journal of Synchrotron Radiation, Fuel, Composites Science and Technology, Science and SPE Reservoir Evaluation & 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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