Lukáš Grajciar

2.6k total citations
43 papers, 2.1k citations indexed

About

Lukáš Grajciar is a scholar working on Inorganic Chemistry, Materials Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Lukáš Grajciar has authored 43 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Inorganic Chemistry, 28 papers in Materials Chemistry and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Lukáš Grajciar's work include Zeolite Catalysis and Synthesis (24 papers), Metal-Organic Frameworks: Synthesis and Applications (13 papers) and Machine Learning in Materials Science (8 papers). Lukáš Grajciar is often cited by papers focused on Zeolite Catalysis and Synthesis (24 papers), Metal-Organic Frameworks: Synthesis and Applications (13 papers) and Machine Learning in Materials Science (8 papers). Lukáš Grajciar collaborates with scholars based in Czechia, United Kingdom and Germany. Lukáš Grajciar's co-authors include Petr Nachtigall, Ota Bludský, Christopher J. Heard, Jiřı́ Čejka, Arnošt Zukal, Andrew D. Wiersum, Philip L. Llewellyn, Sharon E. Ashbrook, Russell E. Morris and Wiesław J. Roth and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Lukáš Grajciar

41 papers receiving 2.1k citations

Peers

Lukáš Grajciar

IC

MC

ME

IME

BE

Angeles Pulido Spain

Dan Xie United States

Hanjun Fang United States

Kuizhi Chen China

Ole Swang Norway

Scott M. Auerbach United States

Andreas Mavrandonakis Germany

Ľ. Benco Austria

Winfried Böhlmann Germany

Duncan Akporiaye Norway

Angeles Pulido Spain

Lukáš Grajciar

1.2k ×0.8

IC

1.3k ×1.0

MC

397 ×0.9

ME

143 ×0.6

IME

267 ×1.0

BE

Citations per year, relative to Lukáš Grajciar Lukáš Grajciar (= 1×) peers Angeles Pulido

Countries citing papers authored by Lukáš Grajciar

Since Specialization

Citations

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

Fields of papers citing papers by Lukáš Grajciar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukáš Grajciar

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

1.

Grajciar, Lukáš, et al.. (2025). A Simple and Scalable Kernel Density Approach for Reliable Uncertainty Quantification in Atomistic Machine Learning. The Journal of Physical Chemistry Letters. 16(42). 11081–11086.

2.

Heard, Christopher J., Lukáš Grajciar, & Andreas Erlebach. (2024). Migration of zeolite-encapsulated subnanometre platinum clusters via reactive neural network potentials. Nanoscale. 16(16). 8108–8118. 7 indexed citations

3.

Saha, Indranil, Andreas Erlebach, Petr Nachtigall, Christopher J. Heard, & Lukáš Grajciar. (2024). Germanium distributions in zeolites derived from neural network potentials. Catalysis Science & Technology. 14(20). 5838–5853. 1 indexed citations

4.

Erlebach, Andreas, et al.. (2024). A machine learning approach for dynamical modelling of Al distributions in zeolites via²³Na/²⁷Al solid-state NMR. Faraday Discussions. 255(0). 46–71. 3 indexed citations

5.

Erlebach, Andreas, et al.. (2024). ²⁷ Al NMR chemical shifts in zeolite MFI via machine learning acceleration of structure sampling and shift prediction. Digital Discovery. 4(1). 275–288. 5 indexed citations

6.

Ravi, Manoj, Christopher J. Heard, Federico Brivio, et al.. (2023). Dynamical Equilibrium between Brønsted and Lewis Sites in Zeolites: Framework‐Associated Octahedral Aluminum. Angewandte Chemie International Edition. 62(31). e202306183–e202306183. 26 indexed citations

7.

Ravi, Manoj, Christopher J. Heard, Federico Brivio, et al.. (2023). Dynamical Equilibrium between Brønsted and Lewis Sites in Zeolites: Framework‐Associated Octahedral Aluminum. Angewandte Chemie. 135(31). 2 indexed citations

8.

Erlebach, Andreas, Federico Brivio, Lukáš Grajciar, et al.. (2023). The need for operando modelling of ²⁷ Al NMR in zeolites: the effect of temperature, topology and water. Chemical Science. 14(34). 9101–9113. 10 indexed citations

9.

Grajciar, Lukáš, et al.. (2020). Origin of the Unusual Stability of Zeolite-Encapsulated Sub-Nanometer Platinum. ACS Catalysis. 10(19). 11057–11068. 29 indexed citations

10.

Thang, Ho Viet, Jan Přech, Martin Kubů, et al.. (2019). The Brønsted acidity of three- and two-dimensional zeolites. Microporous and Mesoporous Materials. 282. 121–132. 25 indexed citations

11.

Heard, Christopher J., et al.. (2019). Fast room temperature lability of aluminosilicate zeolites. Nature Communications. 10(1). 4690–4690. 91 indexed citations

12.

Li, Shuo, Junjie He, Petr Nachtigall, Lukáš Grajciar, & Federico Brivio. (2019). Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization. Physical Chemistry Chemical Physics. 21(46). 25802–25808. 23 indexed citations

13.

Roth, Wiesław J., Petr Nachtigall, Russell E. Morris, et al.. (2013). A family of zeolites with controlled pore size prepared using a top-down method. Nature Chemistry. 5(7). 628–633. 363 indexed citations

14.

Grajciar, Lukáš, et al.. (2012). Controlling the Adsorption Enthalpy of CO₂ in Zeolites by Framework Topology and Composition. ChemSusChem. 5(10). 2011–2022. 95 indexed citations

15.

Rubeš, Miroslav, Lukáš Grajciar, Ota Bludský, et al.. (2011). Combined Theoretical and Experimental Investigation of CO Adsorption on Coordinatively Unsaturated Sites in CuBTC MOF. ChemPhysChem. 13(2). 488–495. 55 indexed citations

16.

Nachtigall, Petr, Lukáš Grajciar, Joaquı́n Pérez-Pariente, et al.. (2011). Control of CO₂adsorption heats by the Al distribution in FER zeolites. Physical Chemistry Chemical Physics. 14(3). 1117–1120. 25 indexed citations

17.

Chen, Linjiang, Lukáš Grajciar, Petr Nachtigall, & Tina Düren. (2011). Accurate Prediction of Methane Adsorption in a Metal–Organic Framework with Unsaturated Metal Sites by Direct Implementation of an ab Initio Derived Potential Energy Surface in GCMC Simulation. The Journal of Physical Chemistry C. 115(46). 23074–23080. 83 indexed citations

18.

Grajciar, Lukáš, C. Otero Areán, Angeles Pulido, & Petr Nachtigall. (2010). Periodic DFT investigation of the effect of aluminium content on the properties of the acid zeolite H-FER. Physical Chemistry Chemical Physics. 12(7). 1497–1497. 53 indexed citations

19.

Grajciar, Lukáš, Ota Bludský, & Petr Nachtigall. (2010). Water Adsorption on Coordinatively Unsaturated Sites in CuBTC MOF. The Journal of Physical Chemistry Letters. 1(23). 3354–3359. 169 indexed citations

20.

Nachtigall, Petr, Ota Bludský, Lukáš Grajciar, et al.. (2008). Computational and FTIR spectroscopic studies on carbon monoxide and dinitrogen adsorption on a high-silica H-FER zeolite. Physical Chemistry Chemical Physics. 11(5). 791–802. 72 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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