Tomáš Bučko

5.6k total citations · 1 hit paper
91 papers, 4.7k citations indexed

About

Tomáš Bučko is a scholar working on Inorganic Chemistry, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tomáš Bučko has authored 91 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Inorganic Chemistry, 45 papers in Materials Chemistry and 44 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tomáš Bučko's work include Advanced Chemical Physics Studies (40 papers), Zeolite Catalysis and Synthesis (34 papers) and Catalytic Processes in Materials Science (15 papers). Tomáš Bučko is often cited by papers focused on Advanced Chemical Physics Studies (40 papers), Zeolite Catalysis and Synthesis (34 papers) and Catalytic Processes in Materials Science (15 papers). Tomáš Bučko collaborates with scholars based in Slovakia, Austria and France. Tomáš Bučko's co-authors include János G. Ángyán, Jürgen Häfner, Sébastien Lebègue∥, Ľ. Benco, J. Häfner, J. Hafner, Tim Gould, Daniel Tunega, A. Zaoui and Michaël Badawi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Tomáš Bučko

87 papers receiving 4.7k citations

Hit Papers

Improved Description of the Structure of Molecular and La... 2010 2026 2015 2020 2010 250 500 750
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.

  1. Improved Description of the Structure of Molecular and Layered Crystals: Ab Initio DFT Calculations with van der Waals Corrections
    2010 961 citations Tomáš Bučko, Jürgen Häfner et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Bučko Slovakia 38 3.0k 1.6k 1.2k 1.0k 778 91 4.7k
Guofu Wang China 32 3.8k 1.3× 1.2k 0.7× 834 0.7× 2.4k 2.4× 748 1.0× 259 5.3k
Lingzhu Kong United States 16 2.3k 0.8× 971 0.6× 1.1k 0.9× 938 0.9× 204 0.3× 19 3.5k
Frank R. Wagner Germany 35 2.5k 0.9× 1.6k 1.0× 1.1k 0.9× 773 0.8× 421 0.5× 130 5.1k
Zichao Tang China 27 3.7k 1.3× 1.0k 0.6× 780 0.7× 576 0.6× 1.1k 1.4× 145 5.3k
Yu Gong China 30 1.9k 0.7× 1.6k 1.0× 787 0.7× 384 0.4× 792 1.0× 217 3.4k
W. E. Farneth United States 42 2.9k 1.0× 1.6k 1.0× 783 0.7× 1.1k 1.1× 878 1.1× 97 6.1k
Jyh‐Chiang Jiang Taiwan 40 1.9k 0.7× 486 0.3× 1.6k 1.4× 1.7k 1.7× 985 1.3× 244 5.7k
Xunlei Ding China 47 4.5k 1.5× 855 0.5× 1.3k 1.1× 1.1k 1.1× 2.6k 3.3× 181 6.2k
Céline Chizallet France 42 3.8k 1.3× 2.8k 1.7× 476 0.4× 407 0.4× 1.3k 1.7× 119 5.5k
Yasushige Kuroda Japan 31 2.4k 0.8× 1.3k 0.8× 432 0.4× 310 0.3× 767 1.0× 140 3.4k

Countries citing papers authored by Tomáš Bučko

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Bučko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Bučko

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Bučko. A scholar is included among the top collaborators of Tomáš Bučko 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 Tomáš Bučko. Tomáš Bučko 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.
Egger, David A., et al.. (2025). Machine learning accelerates Raman computations from molecular dynamics for materials science. The Journal of Chemical Physics. 163(12).
2.
3.
Bučko, Tomáš, et al.. (2024). Delta Machine Learning for Predicting Dielectric Properties and Raman Spectra. The Journal of Physical Chemistry C. 128(15). 6464–6470. 17 indexed citations
4.
Kaiser, Waldemar, et al.. (2024). Rapid Characterization of Point Defects in Solid-State Ion Conductors Using Raman Spectroscopy, Machine-Learning Force Fields, and Atomic Raman Tensors. Journal of the American Chemical Society. 146(39). 26863–26876. 5 indexed citations
5.
Hummel, Felix, Michaël Badawi, Tomáš Bučko, et al.. (2024). Coupled cluster finite temperature simulations of periodic materials via machine learning. npj Computational Materials. 10(1). 5 indexed citations
6.
Badawi, Michaël, et al.. (2024). Machine learning thermodynamic perturbation theory offers accurate activation free energies at the RPA level for alkene isomerization in zeolites. Catalysis Science & Technology. 14(18). 5314–5323. 3 indexed citations
7.
Chizallet, Céline, et al.. (2023). Reference‐Quality Free Energy Barriers in Catalysis from Machine Learning Thermodynamic Perturbation Theory. Angewandte Chemie. 136(6). 1 indexed citations
8.
9.
Chizallet, Céline, et al.. (2023). Reference‐Quality Free Energy Barriers in Catalysis from Machine Learning Thermodynamic Perturbation Theory. Angewandte Chemie International Edition. 63(6). e202312392–e202312392. 6 indexed citations
10.
Amsler, Jonas, Philipp N. Pleßow, Felix Studt, & Tomáš Bučko. (2023). Anharmonic Correction to Free Energy Barriers from DFT-Based Molecular Dynamics Using Constrained Thermodynamic Integration. Journal of Chemical Theory and Computation. 19(9). 2455–2468. 6 indexed citations
11.
Silva, Maurício Chagas da, Michaël Badawi, Fabien Pascale, et al.. (2022). Assessing the Accuracy of Machine Learning Thermodynamic Perturbation Theory: Density Functional Theory and Beyond. Journal of Chemical Theory and Computation. 18(3). 1382–1394. 14 indexed citations
12.
Taifan, William, et al.. (2021). First-principles-informed energy span and microkinetic analysis of ethanol catalytic conversion to 1,3-butadiene on MgO. Catalysis Science & Technology. 11(20). 6682–6694. 6 indexed citations
13.
Silva, Maurício Chagas da, Michaël Badawi, Fabien Pascale, et al.. (2020). Hybrid localized graph kernel for machine learning energy-related\n properties of molecules and solids. arXiv (Cornell University). 2 indexed citations
14.
Silva, Manoj, Karolina Barčauskaitė, Donata Drapanauskaitė, et al.. (2020). Relative Humidity Facilitated Urea Particle Reaction with Salicylic Acid: A Combined In Situ Spectroscopy and DFT Study. ACS Earth and Space Chemistry. 4(7). 1018–1028. 16 indexed citations
15.
Bučko, Tomáš, et al.. (2018). On the work function of the surface Mo(0 0 1) and its temperature dependence: an ab initio molecular dynamics study. Journal of Physics Condensed Matter. 30(50). 505001–505001. 3 indexed citations
16.
Brocławik, Ewa, et al.. (2017). The dependence on ammonia pretreatment of N−O activation by Co(II) sites in zeolites: a DFT and ab initio molecular dynamics study. Journal of Molecular Modeling. 23(5). 160–160. 5 indexed citations
17.
Baltrušaitis, Jonas, et al.. (2016). Catalytic methyl mercaptan coupling to ethylene in chabazite: DFT study of the first C C bond formation. Applied Catalysis B: Environmental. 187. 195–203. 16 indexed citations
18.
Bučko, Tomáš, Sébastien Lebègue∥, Tim Gould, & János G. Ángyán. (2016). Many-body dispersion corrections for periodic systems: an efficient reciprocal space implementation. Journal of Physics Condensed Matter. 28(4). 45201–45201. 104 indexed citations
19.
Bučko, Tomáš, et al.. (2010). A density functional study of the adsorption of methane-thiol on the (111) surfaces of the Ni-group metals: I. Molecular and dissociative adsorption. Journal of Physics Condensed Matter. 22(26). 265005–265005. 30 indexed citations
20.
Bludský, Ota, et al.. (2005). Theoretical Investigation of CO Interaction with Copper Sites in Zeolites:  Periodic DFT and Hybrid Quantum Mechanical/Interatomic Potential Function Study. The Journal of Physical Chemistry B. 109(19). 9631–9638. 68 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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