Libor Veis

1.3k total citations
41 papers, 871 citations indexed

About

Libor Veis is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Libor Veis has authored 41 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atomic and Molecular Physics, and Optics, 10 papers in Spectroscopy and 10 papers in Materials Chemistry. Recurrent topics in Libor Veis's work include Advanced Chemical Physics Studies (17 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Quantum and electron transport phenomena (7 papers). Libor Veis is often cited by papers focused on Advanced Chemical Physics Studies (17 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Quantum and electron transport phenomena (7 papers). Libor Veis collaborates with scholars based in Czechia, Hungary and United States. Libor Veis's co-authors include Jiřı́ Pittner, Jiří Brabec, Örs Legeza, Andrej Antalík, Pavel Jelı́nek, Katarzyna Pernal, Pavlo Golub, Jens Eisert, Christian Krumnow and Michał Hapka and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Libor Veis

38 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Libor Veis Czechia 20 494 265 215 159 138 41 871
Chenyang Li China 19 438 0.9× 218 0.8× 153 0.7× 66 0.4× 55 0.4× 48 875
Sunil Sainis United States 11 1.0k 2.1× 117 0.4× 169 0.8× 125 0.8× 93 0.7× 12 1.3k
James Shee United States 19 429 0.9× 328 1.2× 137 0.6× 32 0.2× 66 0.5× 37 1.0k
James McClain United States 10 1.1k 2.2× 591 2.2× 169 0.8× 83 0.5× 304 2.2× 11 1.6k
Bahadır Boyacıoğlu Türkiye 16 367 0.7× 178 0.7× 76 0.4× 54 0.3× 38 0.3× 56 719
Elias Rudberg Sweden 12 374 0.8× 322 1.2× 150 0.7× 71 0.4× 23 0.2× 25 691
Florian Lorenzen Germany 4 459 0.9× 194 0.7× 111 0.5× 49 0.3× 52 0.4× 7 684
Jon Andreas Støvneng Norway 12 822 1.7× 158 0.6× 216 1.0× 51 0.3× 173 1.3× 24 1.2k
James S. Spencer United Kingdom 17 702 1.4× 395 1.5× 109 0.5× 37 0.2× 82 0.6× 26 1.0k
Fabijan Pavošević United States 22 997 2.0× 236 0.9× 92 0.4× 33 0.2× 163 1.2× 48 1.2k

Countries citing papers authored by Libor Veis

Since Specialization
Citations

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

Fields of papers citing papers by Libor Veis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libor Veis

This figure shows the co-authorship network connecting the top 25 collaborators of Libor Veis. A scholar is included among the top collaborators of Libor Veis 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 Libor Veis. Libor Veis 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.
Bauman, Nicholas P., Libor Veis, Karol Kowalski, & Jiří Brabec. (2025). Density Matrix Renormalization Group Approach Based on the Coupled-Cluster Downfolded Hamiltonians. Journal of Chemical Theory and Computation. 21(9). 4319–4327.
2.
3.
Zuzak, Rafał, M. Kumar, Jiří Brabec, et al.. (2024). On‐Surface Synthesis and Determination of the Open‐Shell Singlet Ground State of Tridecacene**. Angewandte Chemie. 136(9). 1 indexed citations
4.
Govind, Niranjan, et al.. (2024). Polaritonic Chemistry Using the Density Matrix Renormalization Group Method. Journal of Chemical Theory and Computation. 20(21). 9424–9434. 11 indexed citations
5.
Song, Shaotang, Adam Matěj, Guangwu Li, et al.. (2024). Highly entangled polyradical nanographene with coexisting strong correlation and topological frustration. Nature Chemistry. 16(6). 938–944. 46 indexed citations
6.
Zuzak, Rafał, M. Kumar, Jiří Brabec, et al.. (2024). On‐Surface Synthesis and Determination of the Open‐Shell Singlet Ground State of Tridecacene**. Angewandte Chemie International Edition. 63(9). e202317091–e202317091. 21 indexed citations
7.
Matěj, Adam, Reed Nieman, Ana Sánchez‐Grande, et al.. (2024). Globally aromatic odd-electron π-magnetic macrocycle. Chem. 11(2). 102316–102316. 5 indexed citations
8.
Demel, Ondřej, et al.. (2023). Hilbert space multireference coupled cluster tailored by matrix product states. The Journal of Chemical Physics. 159(22). 2 indexed citations
9.
Hapka, Michał, et al.. (2023). Toward more accurate adiabatic connection approach for multireference wavefunctions. The Journal of Chemical Physics. 158(5). 54105–54105. 10 indexed citations
10.
Veis, Libor. (2022). A further step towards the practical application of quantum computing in chemistry. Communications Chemistry. 5(1). 108–108. 2 indexed citations
11.
Urbani, Maxence, Ana Sánchez‐Grande, Koen Lauwaet, et al.. (2022). Interplay between π-Conjugation and Exchange Magnetism in One-Dimensional Porphyrinoid Polymers. Journal of the American Chemical Society. 144(28). 12725–12731. 22 indexed citations
12.
Bauman, Nicholas P., et al.. (2021). Variational quantum eigensolver for approximate diagonalization of downfolded Hamiltonians using generalized unitary coupled cluster ansatz. Quantum Science and Technology. 6(3). 34008–34008. 24 indexed citations
13.
Golub, Pavlo, Andrej Antalík, Libor Veis, & Jiří Brabec. (2021). Machine Learning-Assisted Selection of Active Spaces for Strongly Correlated Transition Metal Systems. Journal of Chemical Theory and Computation. 17(10). 6053–6072. 22 indexed citations
14.
Yang, Chao, Jiří Brabec, Libor Veis, David B. Williams‐Young, & Karol Kowalski. (2020). Solving Coupled Cluster Equations by the Newton Krylov Method. Frontiers in Chemistry. 8. 590184–590184. 5 indexed citations
15.
Laestadius, Andre, Libor Veis, Andrej Antalík, et al.. (2019). Numerical and Theoretical Aspects of the DMRG-TCC Method Exemplified by the Nitrogen Dimer. Journal of Chemical Theory and Computation. 15(4). 2206–2220. 33 indexed citations
16.
Szalay, Szilárd, Gergely Barcza, Tibor Szilvási, Libor Veis, & Örs Legeza. (2017). The correlation theory of the chemical bond. Scientific Reports. 7(1). 2237–2237. 34 indexed citations
17.
Krumnow, Christian, Libor Veis, Örs Legeza, & Jens Eisert. (2016). Fermionic Orbital Optimization in Tensor Network States. Physical Review Letters. 117(21). 210402–210402. 50 indexed citations
18.
Veis, Libor, et al.. (2016). Quantum chemistry beyond Born–Oppenheimer approximation on a quantum computer: A simulated phase estimation study. International Journal of Quantum Chemistry. 116(18). 1328–1336. 37 indexed citations
19.
Veis, Libor, et al.. (2015). Advanced density matrix renormalization group method for nuclear structure calculations. Physical Review C. 92(5). 45 indexed citations
20.
Horáková, Jana, Jan Petr, Vítězslav Maier, et al.. (2007). On‐line preconcentration of weak electrolytes by electrokinetic accumulation in CE: Experiment and simulation. Electrophoresis. 28(10). 1540–1547. 32 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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