P. Levchenko

1.5k citations
20 papers · 923 · h-index 14

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Dark Matter and Cosmic Phenomena
    • Black Holes and Theoretical Physics
    • Neutrino Physics Research
    • Cosmology and Gravitation Theories

Papers in

    • Particle physics theoretical and experimental studies 20
    • High-Energy Particle Collisions Research 17
    • Quantum Chromodynamics and Particle Interactions 11
    • Particle Detector Development and Performance 4
    • Dark Matter and Cosmic Phenomena 3
    • Neutrino Physics Research 1
    • Cosmology and Gravitation Theories 2

P. Levchenko

20 papers receiving 701 citations

Peers

P. Levchenko
Comparison fields: 5 of 29
  • Nuclear and High Energy Physics 894
  • Astronomy and Astrophysics 151
  • Artificial Intelligence 52
  • Statistical and Nonlinear Physics 9
  • Computer Networks and Communications 16
Replace M. Meyer with:
M. Meyer Switzerland
F. Cenna
A. Lelek Austria
D. Gulhan Austria
D. Sunar Cerci Switzerland
C. Mariotti Austria
P. Kontaxakis Austria
S. Paoletti France
M. Marionneau Germany
P. Schleper
P. Levchenko relative to M. Meyer Switzerland M. Meyer's profile →
Citations per field
00.5×1.5×
M. Meyer · 1×
Citations per year

Countries citing papers authored by P. Levchenko

Since Specialization
Citations

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

Fields of papers citing papers by P. Levchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown
#Work
1 2018219
2 2019187
3 202068
4 201757
5 201951
6 201950
7 201838
8 202033
9 201932
10 201929
11 201929
12 201829
13 201916
14 201915
15 202014
16 201914
17 201913
18 201912
19 201910
20 20197

About P. Levchenko

P. Levchenko is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Information Systems and Management, Computer Networks and Communications and Insect Science, having authored 20 papers that have together received 923 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (20 papers), High-Energy Particle Collisions Research (17 papers), Quantum Chromodynamics and Particle Interactions (11 papers), Particle Detector Development and Performance (4 papers), Dark Matter and Cosmic Phenomena (3 papers), Cosmology and Gravitation Theories (2 papers), Distributed and Parallel Computing Systems (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (894 citations), Astronomy and Astrophysics (151 citations), Artificial Intelligence (52 citations), Statistical and Nonlinear Physics (9 citations) and Computer Networks and Communications (16 citations). P. Levchenko has collaborated with scholars based in Austria. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, Physical review. D and Journal of Instrumentation.

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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