Igor Poltavsky

2.5k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Igor Poltavsky is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Igor Poltavsky has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 14 papers in Atomic and Molecular Physics, and Optics and 10 papers in Computational Theory and Mathematics. Recurrent topics in Igor Poltavsky's work include Machine Learning in Materials Science (13 papers), Quantum, superfluid, helium dynamics (11 papers) and Computational Drug Discovery Methods (10 papers). Igor Poltavsky is often cited by papers focused on Machine Learning in Materials Science (13 papers), Quantum, superfluid, helium dynamics (11 papers) and Computational Drug Discovery Methods (10 papers). Igor Poltavsky collaborates with scholars based in Luxembourg, Ukraine and Germany. Igor Poltavsky's co-authors include Alexandre Tkatchenko, Stefan Chmiela, Huziel E. Sauceda, Klaus‐Robert Müller, Kristof T. Schütt, Valentín Vassilev-Galindo, T. N. Antsygina, Limin Zheng, Majid Mortazavi and Ángel Martín Pendás and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Igor Poltavsky

29 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning of accurate energy-conserving molecular force fields

2017 810 citations Stefan Chmiela, Alexandre Tkatchenko et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Poltavsky Luxembourg	13	1.1k	484	360	324	177	29	1.4k
Mordechai Kornbluth United States	10	1.3k 1.2×	420 0.9×	314 0.9×	202 0.6×	315 1.8×	16	1.7k
Albert Musaelian United States	10	1.4k 1.2×	449 0.9×	319 0.9×	188 0.6×	271 1.5×	13	1.7k
Franziska Biegler Germany	6	958 0.8×	585 1.2×	283 0.8×	158 0.5×	106 0.6×	11	1.2k
Oliver T. Unke Switzerland	17	1.3k 1.1×	707 1.5×	499 1.4×	431 1.3×	126 0.7×	31	1.7k
Tess Smidt United States	13	1.3k 1.1×	328 0.7×	227 0.6×	233 0.7×	332 1.9×	22	1.9k
John E. Herr United States	8	874 0.8×	370 0.8×	232 0.6×	197 0.6×	325 1.8×	9	1.0k
Andrea Grisafi Switzerland	10	806 0.7×	411 0.8×	211 0.6×	302 0.9×	112 0.6×	14	960
Chenru Duan United States	25	1.4k 1.2×	567 1.2×	245 0.7×	293 0.9×	238 1.3×	60	2.0k
Jinzhe Zeng United States	13	845 0.7×	218 0.5×	250 0.7×	191 0.6×	187 1.1×	19	1.3k
Sandip De Switzerland	17	1.7k 1.5×	581 1.2×	278 0.8×	282 0.9×	393 2.2×	39	2.2k

Countries citing papers authored by Igor Poltavsky

Since Specialization

Citations

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

Fields of papers citing papers by Igor Poltavsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Poltavsky

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Poltavsky. A scholar is included among the top collaborators of Igor Poltavsky 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 Igor Poltavsky. Igor Poltavsky 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

Кокорин, А. И., Huziel E. Sauceda, Stefan Chmiela, et al.. (2025). Atomic orbits in molecules and materials for improving machine learning force fields. Machine Learning Science and Technology. 6(3). 35005–35005. 1 indexed citations

Vassilev-Galindo, Valentín, et al.. (2024). Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors. Nature Communications. 15(1). 4345–4345. 27 indexed citations

Poltavsky, Igor, et al.. (2023). Modeling molecular ensembles with gradient-domain machine learning force fields. Digital Discovery. 2(3). 871–880. 13 indexed citations

Kabylda, Adil, Valentín Vassilev-Galindo, Stefan Chmiela, Igor Poltavsky, & Alexandre Tkatchenko. (2023). Efficient interatomic descriptors for accurate machine learning force fields of extended molecules. Nature Communications. 14(1). 3562–3562. 19 indexed citations

Poltavsky, Igor, et al.. (2021). Improving molecular force fields across configurational space by combining supervised and unsupervised machine learning. Open Repository and Bibliography (University of Luxembourg). 18 indexed citations

Poltavsky, Igor & Alexandre Tkatchenko. (2021). Machine Learning Force Fields: Recent Advances and Remaining Challenges. The Journal of Physical Chemistry Letters. 12(28). 6551–6564. 84 indexed citations

Poltavsky, Igor, Venkat Kapil, Michele Ceriotti, Kwang S. Kim, & Alexandre Tkatchenko. (2020). Accurate Description of Nuclear Quantum Effects with High-Order Perturbed Path Integrals (HOPPI). Journal of Chemical Theory and Computation. 16(2). 1128–1135. 7 indexed citations

Sauceda, Huziel E., Stefan Chmiela, Igor Poltavsky, Klaus‐Robert Müller, & Alexandre Tkatchenko. (2019). Molecular Force Fields with Gradient-Domain Machine Learning: Dynamics of Small Molecules with Coupled Cluster Forces. Bulletin of the American Physical Society. 2019. 1 indexed citations

Chmiela, Stefan, Huziel E. Sauceda, Igor Poltavsky, Klaus‐Robert Müller, & Alexandre Tkatchenko. (2019). sGDML: Constructing accurate and data efficient molecular force fields using machine learning. Computer Physics Communications. 240. 38–45. 160 indexed citations

10.

Poltavsky, Igor, et al.. (2018). Stability of functionalized platform molecules on Au(111). The Journal of Chemical Physics. 149(24). 244705–244705. 13 indexed citations

11.

Poltavsky, Igor, Robert A. DiStasio, & Alexandre Tkatchenko. (2017). Perturbed path integrals in imaginary time: Efficiently modeling nuclear quantum effects in molecules and materials. The Journal of Chemical Physics. 148(10). 102325–102325. 10 indexed citations

12.

Chattopadhyaya, Mausumi, Jan Hermann, Igor Poltavsky, & Alexandre Tkatchenko. (2016). Tuning Intermolecular Interactions with Nanostructured Environments. Chemistry of Materials. 29(6). 2452–2458. 10 indexed citations

13.

Maurer, Reinhard J., Wei Liu, Igor Poltavsky, et al.. (2016). Thermal and Electronic Fluctuations of Flexible Adsorbed Molecules: Azobenzene on Ag(111). Physical Review Letters. 116(14). 146101–146101. 27 indexed citations

14.

Poltavsky, Igor, et al.. (2012). Magnetization of 3He layers in ferromagnetic regime: Cluster size effects. Physica B Condensed Matter. 407(19). 3925–3932. 1 indexed citations

15.

Antsygina, T. N., et al.. (2008). Thermodynamics of low-dimensional spin-12Heisenberg ferromagnets in an external magnetic field within a Green function formalism. Physical Review B. 77(2). 28 indexed citations

16.

Antsygina, T. N., et al.. (2006). Thermodynamics of low-dimensional adsorption in grooves, on the outer surface, and in interstitials of a closed-ended carbon nanotube bundle. Physical Review B. 74(20). 10 indexed citations

17.

Antsygina, T. N., et al.. (2005). Thermodynamics of quasi-one-dimensional deposits on carbon nanobundles. Low Temperature Physics. 31(12). 1007–1016. 12 indexed citations

18.

Antsygina, T. N., et al.. (2005). Dynamics and thermodynamics of quasi-one-dimensional helium deposited on carbon nano-bundles. Journal of Low Temperature Physics. 138(1-2). 223–228. 4 indexed citations

19.

Antsygina, T. N., et al.. (2002). Lattice dynamics and heat capacity of a two-dimensional monoatomic crystal on a substrate. Low Temperature Physics. 28(6). 442–451. 7 indexed citations

20.

Antsygina, T. N., et al.. (2002). Lattice Dynamics of 2D Monoatomic Crystals: Application to 3He on Graphite. Journal of Low Temperature Physics. 126(1-2). 15–20. 6 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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