Dominik Legut

5.9k total citations
197 papers, 4.6k citations indexed

About

Dominik Legut is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Dominik Legut has authored 197 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Materials Chemistry, 47 papers in Electronic, Optical and Magnetic Materials and 44 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Dominik Legut's work include MXene and MAX Phase Materials (37 papers), Magnetic properties of thin films (31 papers) and Boron and Carbon Nanomaterials Research (27 papers). Dominik Legut is often cited by papers focused on MXene and MAX Phase Materials (37 papers), Magnetic properties of thin films (31 papers) and Boron and Carbon Nanomaterials Research (27 papers). Dominik Legut collaborates with scholars based in Czechia, China and United States. Dominik Legut's co-authors include Ruifeng Zhang, Qianfan Zhang, Zhongheng Fu, Timothy C. Germann, Joseph S. Francisco, Shiyu Du, Yanchen Fan, Tianshuai Wang, Peter M. Oppeneer and Zhi Wei Seh and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Dominik Legut

188 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominik Legut Czechia 36 3.0k 1.7k 948 717 650 197 4.6k
Ryo Ishikawa Japan 38 2.6k 0.9× 2.0k 1.2× 872 0.9× 420 0.6× 800 1.2× 152 4.7k
Shingo Tanaka Japan 31 2.1k 0.7× 1.3k 0.8× 488 0.5× 593 0.8× 370 0.6× 172 3.3k
Shanmin Wang China 30 2.0k 0.7× 2.1k 1.2× 357 0.4× 520 0.7× 908 1.4× 137 3.9k
Akihide Kuwabara Japan 43 4.0k 1.3× 3.0k 1.8× 581 0.6× 456 0.6× 1.4k 2.2× 199 6.1k
Huiyang Gou China 34 2.4k 0.8× 1.6k 0.9× 584 0.6× 398 0.6× 1.2k 1.8× 152 4.0k
Gunther Richter Germany 29 1.9k 0.6× 1.2k 0.7× 257 0.3× 746 1.0× 356 0.5× 122 3.5k
Laure Bourgeois Australia 42 3.8k 1.3× 1.1k 0.7× 722 0.8× 2.6k 3.6× 846 1.3× 150 6.1k
Wei Lai China 36 1.7k 0.6× 2.6k 1.5× 474 0.5× 323 0.5× 863 1.3× 163 4.2k
Michael T. Pettes United States 35 5.4k 1.8× 1.6k 1.0× 396 0.4× 836 1.2× 672 1.0× 99 6.7k
Tetsu Ichitsubo Japan 39 2.4k 0.8× 2.4k 1.4× 218 0.2× 1.8k 2.5× 1.0k 1.5× 202 4.9k

Countries citing papers authored by Dominik Legut

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Legut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Legut

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Legut. A scholar is included among the top collaborators of Dominik Legut 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 Dominik Legut. Dominik Legut 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.
2.
Liu, Yaqi, Ziran Liu, Tengfei Xu, et al.. (2024). Classification enhanced machine learning model for energetic stability of binary compounds. Computational Materials Science. 244. 113277–113277. 2 indexed citations
3.
Fu, Zhongheng, Ning Wang, Dominik Legut, et al.. (2024). Two-dimensional Janus transition-metal carbide for flexible anode through surface engineering. Applied Surface Science. 659. 159944–159944. 3 indexed citations
4.
Fu, Zhongheng, Guangtong Hai, Xia‐Xia Ma, et al.. (2024). Rational design of MXene-based vacancy-confined single-atom catalyst for efficient oxygen evolution reaction. Journal of Energy Chemistry. 98. 663–669. 16 indexed citations
5.
Liu, Zhaorui, et al.. (2024). Highly Efficient and Selective Nitrogen Reduction Reaction Catalysis of Cluster-Modified MXene Nanosheets. ACS Catalysis. 14(14). 10568–10582. 18 indexed citations
6.
Fu, Zhongheng, et al.. (2023). Towards rational design of organic copper corrosion inhibitors: High-throughput computational evaluation of standard adsorption Gibbs energy. Corrosion Science. 227. 111783–111783. 22 indexed citations
7.
Legut, Dominik, et al.. (2023). VASPMATE: An integrated user-interface program for high-throughput first principles computations through VASP code. Computational Materials Science. 233. 112707–112707. 6 indexed citations
8.
Havela, L., Dominik Legut, & Jindřich Kolorenč. (2023). Hydrogen in actinides: electronic and lattice properties. Reports on Progress in Physics. 86(5). 56501–56501. 7 indexed citations
9.
Nieves, P., et al.. (2023). Automated calculations of exchange magnetostriction. Computational Materials Science. 224. 112158–112158. 5 indexed citations
10.
Havela, L., et al.. (2022). Electrons and phonons in uranium hydrides - effects of polar bonding. Journal of Nuclear Materials. 567. 153817–153817. 5 indexed citations
11.
Lin, Chao, Xiang Feng, Dominik Legut, et al.. (2022). Discovery of Efficient Visible‐light Driven Oxygen Evolution Photocatalysts: Automated High‐Throughput Computational Screening of MA2Z4. Advanced Functional Materials. 32(45). 35 indexed citations
12.
Zhang, Minghua, Xiangjun Chen, Jiewen Xiao, et al.. (2020). Suppressed phase transition of a Rb/K incorporated inorganic perovskite with a water-repelling surface. Nanoscale. 12(11). 6571–6581. 11 indexed citations
13.
Gao, Ning, Irene J. Beyerlein, Shijian Zheng, et al.. (2020). Interface facilitated transformation of voids directly into stacking fault tetrahedra. Acta Materialia. 188. 623–634. 32 indexed citations
14.
Havela, L., M. Paukov, Milan Dopita, et al.. (2019). XPS, UPS, and BIS study of pure and alloyed β-UH3 films: Electronic structure, bonding, and magnetism. Journal of Electron Spectroscopy and Related Phenomena. 239. 146904–146904. 9 indexed citations
15.
Legut, Dominik, et al.. (2019). Mechanistic understanding of the size effect on shock facilitated dislocation nucleation at semicoherent interfaces. Scripta Materialia. 178. 457–462. 13 indexed citations
16.
Havela, L., M. Paukov, Milan Dopita, et al.. (2018). Crystal Structure and Magnetic Properties of Uranium Hydride UH2 Stabilized as a Thin Film. Inorganic Chemistry. 57(23). 14727–14732. 16 indexed citations
17.
Li, Pengkun, Xiang Chen, Dominik Legut, et al.. (2018). Rational design of graphitic-inorganic Bi-layer artificial SEI for stable lithium metal anode. Energy storage materials. 16. 426–433. 98 indexed citations
18.
Beyerlein, Irene J., et al.. (2018). Stronger and more failure-resistant with three-dimensional serrated bimetal interfaces. Acta Materialia. 166. 231–245. 40 indexed citations
19.
20.
Li, Pengkun, Albertus D. Handoko, Ruifeng Zhang, et al.. (2018). High-throughput theoretical optimization of the hydrogen evolution reaction on MXenes by transition metal modification. Journal of Materials Chemistry A. 6(10). 4271–4278. 213 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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