Boris Kozinsky

10.1k total citations · 5 hit papers
94 papers, 7.1k citations indexed

About

Boris Kozinsky is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Boris Kozinsky has authored 94 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Materials Chemistry, 29 papers in Electrical and Electronic Engineering and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Boris Kozinsky's work include Machine Learning in Materials Science (31 papers), Advanced Thermoelectric Materials and Devices (19 papers) and Advanced Battery Materials and Technologies (17 papers). Boris Kozinsky is often cited by papers focused on Machine Learning in Materials Science (31 papers), Advanced Thermoelectric Materials and Devices (19 papers) and Advanced Battery Materials and Technologies (17 papers). Boris Kozinsky collaborates with scholars based in United States, Germany and United Kingdom. Boris Kozinsky's co-authors include Nicola Marzari, Jonathan P. Mailoa, Nicola Molinari, Albert Musaelian, Simon Batzner, Mordechai Kornbluth, Lixin Sun, Jake Christensen, Roel S. Sánchez‐Carrera and Paul Albertus and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Boris Kozinsky

90 papers receiving 6.9k citations

Hit Papers

5 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.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

2022 1.0k citations Simon Batzner, Albert Musaelian et al. Nature Communications profile →
A Critical Review of Li/Air Batteries

2011 923 citations Boris Kozinsky et al. profile →
AiiDA: automated interactive infrastructure and database for computational science

2015 383 citations Andrea Cepellotti, Boris Kozinsky et al. profile →
Learning local equivariant representations for large-scale atomistic dynamics

2023 370 citations Albert Musaelian, Simon Batzner et al. Nature Communications profile →
The design space of E(3)-equivariant atom-centred interatomic potentials

2025 61 citations Simon Batzner, Albert Musaelian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Boris Kozinsky United States	35	4.1k	3.0k	839	704	699	94	7.1k
Sergei Manzhos Singapore	45	2.9k 0.7×	3.5k 1.2×	152 0.2×	1.6k 2.2×	442 0.6×	250	6.8k
Jonathan P. Mailoa United States	23	2.4k 0.6×	2.7k 0.9×	247 0.3×	409 0.6×	178 0.3×	47	4.3k
Noam Bernstein United States	42	5.8k 1.4×	2.5k 0.8×	170 0.2×	1.8k 2.5×	529 0.8×	119	8.5k
Evan J. Reed United States	43	6.6k 1.6×	3.4k 1.1×	400 0.5×	1.4k 2.0×	826 1.2×	121	9.2k
Ohad Levy United States	26	4.5k 1.1×	1.2k 0.4×	121 0.1×	687 1.0×	804 1.2×	56	6.0k
Thomas J. Richardson United States	48	2.4k 0.6×	6.0k 2.0×	1.9k 2.2×	340 0.5×	1.2k 1.7×	131	8.3k
Nongnuch Artrith United States	25	2.5k 0.6×	1.0k 0.3×	179 0.2×	414 0.6×	105 0.2×	39	3.4k
Alessandro Curioni Switzerland	37	2.5k 0.6×	2.8k 0.9×	121 0.1×	1.3k 1.8×	383 0.5×	95	5.8k
Silvana Botti Germany	42	5.9k 1.4×	2.9k 0.9×	75 0.1×	1.7k 2.5×	891 1.3×	156	7.9k
Alexander V. Shapeev Russia	36	5.1k 1.2×	1.2k 0.4×	82 0.1×	576 0.8×	238 0.3×	98	6.1k

Countries citing papers authored by Boris Kozinsky

Since Specialization

Citations

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

Fields of papers citing papers by Boris Kozinsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Kozinsky

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

Cepellotti, Andrea, et al.. (2025). Unified differentiable learning of electric response. Nature Communications. 16(1). 4031–4031. 9 indexed citations

Yang, Julia H., Zachary A. H. Goodwin, YuLong Xie, et al.. (2025). Room-Temperature Decomposition of the Ethaline Deep Eutectic Solvent. The Journal of Physical Chemistry Letters. 16(12). 3039–3046. 3 indexed citations

Goodwin, Zachary A. H., Nicola Molinari, Hua Li, et al.. (2024). Long-Range Surface Forces in Salt-in-Ionic Liquids. ACS Nano. 18(50). 34007–34022. 5 indexed citations

Musaelian, Albert, Simon Batzner, Anders Johansson, et al.. (2023). Learning local equivariant representations for large-scale atomistic dynamics. Nature Communications. 14(1). 579–579. 370 indexed citations breakdown →

Foucher, Alexandre C., Shengsong Yang, Daniel J. Rosen, et al.. (2023). Synthesis and Characterization of Stable Cu–Pt Nanoparticles under Reductive and Oxidative Conditions. Journal of the American Chemical Society. 145(9). 5410–5421. 28 indexed citations

Batzner, Simon, Albert Musaelian, & Boris Kozinsky. (2023). Advancing molecular simulation with equivariant interatomic potentials. Nature Reviews Physics. 5(8). 437–438. 21 indexed citations

Westover, Andrew S., Mordechai Kornbluth, T. Egami, et al.. (2023). Medium-Range Ordering in the Ionic Glass Electrolytes LiPON and LiSiPON. Chemistry of Materials. 35(7). 2730–2739. 4 indexed citations

Goodwin, Zachary A. H., Michael McEldrew, Boris Kozinsky, & Martin Z. Bazant. (2023). Theory of Cation Solvation and Ionic Association in Nonaqueous Solvent Mixtures. SHILAP Revista de lepidopterología. 2(1). 16 indexed citations

Kozinsky, Boris, Albert Musaelian, Anders Johansson, & Simon Batzner. (2023). Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size. 1–12. 24 indexed citations

10.

Vandermause, Jonathan, Yu Xie, Jin Soo Lim, Cameron J. Owen, & Boris Kozinsky. (2022). Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt. Nature Communications. 13(1). 5183–5183. 96 indexed citations

11.

Marcella, Nicholas, Jin Soo Lim, Anna M. Płonka, et al.. (2022). Decoding reactive structures in dilute alloy catalysts. Nature Communications. 13(1). 832–832. 68 indexed citations

12.

Routh, Prahlad K., Yang Liu, Nicholas Marcella, Boris Kozinsky, & Anatoly I. Frenkel. (2021). Latent Representation Learning for Structural Characterization of Catalysts. The Journal of Physical Chemistry Letters. 12(8). 2086–2094. 41 indexed citations

13.

Molinari, Nicola, et al.. (2021). Spectral Denoising for Accelerated Analysis of Correlated Ionic Transport. Physical Review Letters. 127(2). 25901–25901. 8 indexed citations

14.

Lim, Jin Soo, Jonathan Vandermause, M. A. Van Spronsen, et al.. (2020). Evolution of Metastable Structures at Bimetallic Surfaces from Microscopy and Machine-Learning Molecular Dynamics. Journal of the American Chemical Society. 142(37). 15907–15916. 57 indexed citations

15.

Molinari, Nicola & Boris Kozinsky. (2020). Chelation-Induced Reversal of Negative Cation Transference Number in Ionic Liquid Electrolytes. The Journal of Physical Chemistry B. 124(13). 2676–2684. 29 indexed citations

16.

Chen, Wei, Lixin Sun, Boris Kozinsky, et al.. (2019). Effect of Frustrated Rotations on the Pre-Exponential Factor for Unimolecular Reactions on Surfaces: A Case Study of Alkoxy Dehydrogenation. The Journal of Physical Chemistry C. 124(2). 1429–1437. 10 indexed citations

17.

Faglioni, Francesco, Ge. G. Samsonidze, Nicola Molinari, et al.. (2019). Role of solvent-anion charge transfer in oxidative degradation of battery electrolytes. Nature Communications. 10(1). 3360–3360. 61 indexed citations

18.

Floch, Paul Le, Nicola Molinari, Kewang Nan, et al.. (2019). Fundamental Limits to the Electrochemical Impedance Stability of Dielectric Elastomers in Bioelectronics. Nano Letters. 20(1). 224–233. 34 indexed citations

19.

Brooks, Daniel J., Boris V. Merinov, William A. Goddard, Boris Kozinsky, & Jonathan P. Mailoa. (2018). Atomistic Description of Ionic Diffusion in PEO–LiTFSI: Effect of Temperature, Molecular Weight, and Ionic Concentration. Macromolecules. 51(21). 8987–8995. 158 indexed citations

20.

Molinari, Nicola, Jonathan P. Mailoa, & Boris Kozinsky. (2018). Effect of Salt Concentration on Ion Clustering and Transport in Polymer Solid Electrolytes: A Molecular Dynamics Study of PEO–LiTFSI. Chemistry of Materials. 30(18). 6298–6306. 232 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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