Ivan A. Kruglov

2.1k total citations
49 papers, 1.4k citations indexed

About

Ivan A. Kruglov is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Geophysics. According to data from OpenAlex, Ivan A. Kruglov has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 16 papers in Atomic and Molecular Physics, and Optics and 16 papers in Geophysics. Recurrent topics in Ivan A. Kruglov's work include High-pressure geophysics and materials (16 papers), 2D Materials and Applications (11 papers) and Machine Learning in Materials Science (9 papers). Ivan A. Kruglov is often cited by papers focused on High-pressure geophysics and materials (16 papers), 2D Materials and Applications (11 papers) and Machine Learning in Materials Science (9 papers). Ivan A. Kruglov collaborates with scholars based in Russia, China and Armenia. Ivan A. Kruglov's co-authors include Artem R. Oganov, Alexander G. Kvashnin, Dmitrii V. Semenok, A. V. Yanilkin, Arslan Mazitov, Alexander F. Goncharov, Vitali B. Prakapenka, Sergey S. Lobanov, Shilie Pan and Evgenii Tikhonov and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ivan A. Kruglov

47 papers receiving 1.4k citations

Peers

Ivan A. Kruglov

GEOPH

CMP

AMPO

EOMM

José A. Flores‐Livas Switzerland

Raffaello Bianco Italy

Jingming Shi China

Lorenzo Monacelli Italy

Martin Lüders United Kingdom

Mitsuaki Kawamura Japan

Miguel Martínez-Canales United Kingdom

Emre S. Tasci Türkiye

Martin Schlipf Austria

Chris E. Mohn Norway

José A. Flores‐Livas Switzerland

Ivan A. Kruglov

1.1k ×1.3

633 ×1.1

GEOPH

521 ×1.1

CMP

536 ×1.4

AMPO

272 ×1.0

EOMM

Citations per year, relative to Ivan A. Kruglov Ivan A. Kruglov (= 1×) peers José A. Flores‐Livas

Countries citing papers authored by Ivan A. Kruglov

Since Specialization

Citations

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

Fields of papers citing papers by Ivan A. Kruglov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan A. Kruglov. 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 Ivan A. Kruglov. The network helps show where Ivan A. Kruglov may publish in the future.

Co-authorship network of co-authors of Ivan A. Kruglov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan A. Kruglov. A scholar is included among the top collaborators of Ivan A. Kruglov 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 Ivan A. Kruglov. Ivan A. Kruglov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Raghunathan, Varun, et al.. (2025). Stacking and Layer Parity Dependent Photoluminescence in ReS₂. Advanced Optical Materials. 13(12). 1 indexed citations

Trofimov, I. E., et al.. (2025). Machine learning assisted design of reactor steels with high long-term strength and toughness. Materials & Design. 254. 114014–114014. 1 indexed citations

Tantardini, Christian, et al.. (2025). Actively trained magnetic moment tensor potentials for mechanical, dynamical, and thermal properties of paramagnetic CrN. Physical review. B.. 111(9). 1 indexed citations

Kruglov, Ivan A., Georgy A. Ermolaev, I. E. Trofimov, et al.. (2024). Artificial intelligence guided search for van der Waals materials with high optical anisotropy. Materials Horizons. 12(6). 1953–1961.

Ermolaev, Georgy A., Aleksandr S. Slavich, Dmitry I. Yakubovsky, et al.. (2024). Unveiling the broadband optical properties of Bi2Te3: Ultrahigh refractive index and promising applications. Applied Physics Letters. 125(24). 2 indexed citations

Troyan, I. A., Dmitrii V. Semenok, Anna G. Ivanova, et al.. (2023). Non‐Fermi‐Liquid Behavior of Superconducting SnH₄. Advanced Science. 10(30). e2303622–e2303622. 27 indexed citations

Chu, Dongdong, Congwei Xie, Evgenii Tikhonov, et al.. (2023). Unbiased Screening of Novel Infrared Nonlinear Optical Materials with High Thermal Conductivity: Long‐neglected Nitrides and Popular Chalcogenides. Angewandte Chemie. 135(16). 5 indexed citations

Ermolaev, Georgy A., Anatoly P. Pushkarev, Alexey Zhizhchenko, et al.. (2023). Giant and Tunable Excitonic Optical Anisotropy in Single-Crystal Halide Perovskites. Nano Letters. 23(7). 2570–2577. 26 indexed citations

Vyshnevyy, Andrey A., Georgy A. Ermolaev, К. В. Воронин, et al.. (2023). van der Waals Materials for Overcoming Fundamental Limitations in Photonic Integrated Circuitry. Nano Letters. 23(17). 8057–8064. 24 indexed citations

10.

Ermolaev, Georgy A., Aleksandr S. Slavich, Dmitry I. Yakubovsky, et al.. (2023). Broadband Optical Properties of Bi2Se3. Nanomaterials. 13(9). 1460–1460. 6 indexed citations

11.

Kruglov, Ivan A., et al.. (2023). Nitrogen Phase Diagram at High P–T Conditions by the T-USPEX Method. The Journal of Physical Chemistry C. 127(12). 5683–5688. 3 indexed citations

12.

Pozdnyakov, Sergey N., et al.. (2023). Fast general two- and three-body interatomic potential. Physical review. B.. 107(12). 5 indexed citations

13.

Tikhonov, Evgenii, Abudukadi Tudi, Ivan A. Kruglov, et al.. (2023). Target‐Driven Design of Deep‐UV Nonlinear Optical Materials via Interpretable Machine Learning. Advanced Materials. 35(23). e2300848–e2300848. 79 indexed citations

14.

Ermolaev, Georgy A., К. В. Воронин, Denis G. Baranov, et al.. (2022). Topological phase singularities in atomically thin high-refractive-index materials. Nature Communications. 13(1). 2049–2049. 67 indexed citations

15.

Ermolaev, Georgy A., Dmitry I. Yakubovsky, Arslan Mazitov, et al.. (2021). Broadband Optical Constants and Nonlinear Properties of SnS2 and SnSe2. Nanomaterials. 12(1). 141–141. 22 indexed citations

16.

Kruglov, Ivan A., A. V. Yanilkin, & Artem R. Oganov. (2021). T-USPEX – a novel method for crystal structure prediction at finite temperatures. Acta Crystallographica Section A Foundations and Advances. 77(a2). C72–C72. 2 indexed citations

17.

Ermolaev, Georgy A., К. В. Воронин, Arslan Mazitov, et al.. (2021). Broadband Optical Properties of Atomically Thin PtS2 and PtSe2. Nanomaterials. 11(12). 3269–3269. 18 indexed citations

18.

Semenok, Dmitrii V., Di Zhou, Alexander G. Kvashnin, et al.. (2020). Novel Strongly Correlated Europium Superhydrides. The Journal of Physical Chemistry Letters. 12(1). 32–40. 41 indexed citations

19.

Kruglov, Ivan A., Alexander G. Kvashnin, Alexander F. Goncharov, et al.. (2017). High-temperature superconductivity of uranium hydrides at near-ambient conditions. arXiv (Cornell University). 4 indexed citations

20.

Kruglov, Ivan A., et al.. (2017). Energy-free machine learning force field for aluminum. Scientific Reports. 7(1). 8512–8512. 46 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.

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