Sergey V. Levchenko

11.1k total citations · 1 hit paper
84 papers, 4.1k citations indexed

About

Sergey V. Levchenko is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Sergey V. Levchenko has authored 84 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Materials Chemistry, 26 papers in Atomic and Molecular Physics, and Optics and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Sergey V. Levchenko's work include Advanced Chemical Physics Studies (23 papers), Catalytic Processes in Materials Science (20 papers) and Machine Learning in Materials Science (16 papers). Sergey V. Levchenko is often cited by papers focused on Advanced Chemical Physics Studies (23 papers), Catalytic Processes in Materials Science (20 papers) and Machine Learning in Materials Science (16 papers). Sergey V. Levchenko collaborates with scholars based in Germany, Russia and United States. Sergey V. Levchenko's co-authors include Matthias Scheffler, Anna I. Krylov, Luca M. Ghiringhelli, Claudia Draxl, Jan Vybíral, Aliaksei Mazheika, Robert Schlögl, Andrew M. Rappe, Zhongkang Han and Mie Andersen and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Sergey V. Levchenko

78 papers receiving 4.1k citations

Hit Papers

Big Data of Materials Science: Critical Role of the Descr... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sergey V. Levchenko Germany 27 2.8k 997 963 850 801 84 4.1k
Jens Jørgen Mortensen Denmark 25 3.8k 1.4× 787 0.8× 1.6k 1.7× 1.5k 1.8× 799 1.0× 41 5.3k
Fernando D. Vila United States 30 2.2k 0.8× 471 0.5× 1.1k 1.1× 591 0.7× 318 0.4× 91 4.1k
Armin Kleibert Switzerland 33 1.9k 0.7× 744 0.7× 1.9k 2.0× 947 1.1× 470 0.6× 116 4.5k
Florian Schiffmann Switzerland 13 1.7k 0.6× 544 0.5× 824 0.9× 824 1.0× 286 0.4× 17 3.4k
Klaus Attenkofer United States 30 2.0k 0.7× 2.2k 2.2× 423 0.4× 1.2k 1.4× 1.1k 1.3× 103 4.3k
Zijing Lin China 36 2.1k 0.8× 379 0.4× 693 0.7× 1.3k 1.5× 492 0.6× 165 3.5k
Daniel Sheppard United States 15 2.0k 0.7× 432 0.4× 511 0.5× 1.0k 1.2× 557 0.7× 25 3.2k
Karl Sohlberg United States 25 1.7k 0.6× 450 0.5× 586 0.6× 770 0.9× 311 0.4× 133 2.8k
Luca M. Ghiringhelli Germany 30 3.2k 1.1× 414 0.4× 561 0.6× 1.4k 1.6× 332 0.4× 74 4.1k
J. M. García‐Lastra Denmark 34 2.9k 1.1× 1.4k 1.4× 849 0.9× 2.4k 2.9× 315 0.4× 125 4.9k

Countries citing papers authored by Sergey V. Levchenko

Since Specialization
Citations

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

Fields of papers citing papers by Sergey V. Levchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey V. Levchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey V. Levchenko. A scholar is included among the top collaborators of Sergey V. Levchenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sergey V. Levchenko. Sergey V. Levchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eremin, Roman A., et al.. (2025). First-principles data-driven approach for assessment of stability of Tc-C systems. Acta Materialia. 303. 121704–121704.
4.
Tantardini, Christian, et al.. (2024). Quantum modelling of magnetism in strongly correlated materials: Evaluating constrained DFT and the Hubbard model for Y114. Computational Materials Science. 246. 113465–113465. 1 indexed citations
6.
Hu, Xiaojuan, Debalaya Sarker, Xianli Su, et al.. (2023). Data analytics accelerates the experimental discovery of Cu1−xAgxGaTe2 based thermoelectric chalcogenides with high figure of merit. Journal of Materials Chemistry A. 11(35). 18651–18659. 7 indexed citations
8.
Liu, Yun, Zhongkang Han, Sandy Gewinner, et al.. (2022). Adatom Bonding Sites in a Nickel‐Fe3O4(001) Single‐Atom Model Catalyst and O2 Reactivity Unveiled by Surface Action Spectroscopy with Infrared Free‐Electron Laser Light. Angewandte Chemie International Edition. 61(28). e202202561–e202202561. 12 indexed citations
9.
Mazheika, Aliaksei, Yang‐Gang Wang, Rosendo Valero, et al.. (2022). Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides. Nature Communications. 13(1). 419–419. 97 indexed citations
10.
Zegkinoglou, Ioannis, Zhongkang Han, Juan J. Navarro, et al.. (2021). Crystallographic Orientation Dependence of Surface Segregation and Alloying on PdCu Catalysts for CO2 Hydrogenation. The Journal of Physical Chemistry Letters. 12(10). 2570–2575. 11 indexed citations
11.
Han, Zhongkang, Debalaya Sarker, Runhai Ouyang, et al.. (2021). Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence. Nature Communications. 12(1). 1833–1833. 159 indexed citations
12.
Debnath, Tushar, Debalaya Sarker, He Huang, et al.. (2021). Coherent vibrational dynamics reveals lattice anharmonicity in organic–inorganic halide perovskite nanocrystals. Nature Communications. 12(1). 2629–2629. 77 indexed citations
13.
Sutton, Christopher & Sergey V. Levchenko. (2020). First-Principles Atomistic Thermodynamics and Configurational Entropy. Frontiers in Chemistry. 8. 757–757. 48 indexed citations
14.
Schewski, Robert, Andreas Fiedler, Charlotte Wouters, et al.. (2018). Step-flow growth in homoepitaxy of β-Ga2O3 (100)—The influence of the miscut direction and faceting. APL Materials. 7(2). 104 indexed citations
15.
Liu, S., Kenta Motobayashi, Xunhua Zhao, et al.. (2018). Anharmonicity in a double hydrogen transfer reaction studied in a single porphycene molecule on a Cu(110) surface. Physical Chemistry Chemical Physics. 20(17). 12112–12119. 2 indexed citations
16.
Sicolo, Sabrina, et al.. (2013). Concentration of Vacancies at Metal-Oxide Surfaces: Case Study of MgO(100). Physical Review Letters. 111(4). 45502–45502. 103 indexed citations
17.
Marom, Noa, Robert A. DiStasio, Viktor Atalla, et al.. (2013). Many‐Body Dispersion Interactions in Molecular Crystal Polymorphism. Angewandte Chemie International Edition. 52(26). 6629–6632. 150 indexed citations
18.
Leiserowitz, Leslie, Noa Marom, Robert A. DiStasio, et al.. (2012). The Role of Many-Body Dispersion Interactions in Molecular Crystal Polymorphism. Bulletin of the American Physical Society. 2012. 1 indexed citations
19.
Jiang, Lai, Sergey V. Levchenko, & Andrew M. Rappe. (2012). Rigorous Definition of Oxidation States of Ions in Solids. Physical Review Letters. 108(16). 166403–166403. 54 indexed citations
20.
Levchenko, Sergey V. & Andrew M. Rappe. (2008). Influence of Ferroelectric Polarization on the Equilibrium Stoichiometry of Lithium Niobate (0001) Surfaces. Physical Review Letters. 100(25). 256101–256101. 98 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026