Gergely Tóth

1.5k total citations
75 papers, 1.2k citations indexed

About

Gergely Tóth is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Gergely Tóth has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 19 papers in Atomic and Molecular Physics, and Optics and 15 papers in Biomedical Engineering. Recurrent topics in Gergely Tóth's work include Material Dynamics and Properties (17 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Advanced Chemical Physics Studies (12 papers). Gergely Tóth is often cited by papers focused on Material Dynamics and Properties (17 papers), Spectroscopy and Quantum Chemical Studies (14 papers) and Advanced Chemical Physics Studies (12 papers). Gergely Tóth collaborates with scholars based in Hungary, United States and Germany. Gergely Tóth's co-authors include András Baranyai, László Pusztai, K. Heinzinger, László Gránásy, György Tegze, Gyula I. Tóth, Tamás Pusztai, Sándor Lovas, Richard F. Murphy and Eckhard Spohr and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Gergely Tóth

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergely Tóth Hungary 21 502 283 249 155 139 75 1.2k
V. P. Voloshin Russia 20 437 0.9× 353 1.2× 280 1.1× 71 0.5× 90 0.6× 66 1.1k
John D. Head United States 19 895 1.8× 643 2.3× 154 0.6× 185 1.2× 88 0.6× 65 1.8k
Harald L. Tepper Netherlands 15 485 1.0× 648 2.3× 497 2.0× 125 0.8× 143 1.0× 16 1.6k
Jeremy Schofield Canada 21 559 1.1× 552 2.0× 162 0.7× 87 0.6× 59 0.4× 74 1.3k
Félix S. Csajka Germany 9 302 0.6× 602 2.1× 481 1.9× 196 1.3× 66 0.5× 14 1.2k
Patrick Senet France 25 730 1.5× 725 2.6× 548 2.2× 221 1.4× 97 0.7× 82 2.0k
Abraham C. Stern United States 17 487 1.0× 379 1.3× 249 1.0× 190 1.2× 105 0.8× 24 1.4k
P. N. Vorontsov‐Velyaminov Russia 14 524 1.0× 536 1.9× 434 1.7× 96 0.6× 92 0.7× 55 1.4k
Michel Masella France 22 251 0.5× 627 2.2× 221 0.9× 279 1.8× 93 0.7× 55 1.2k
J. J. Gillis United States 9 550 1.1× 514 1.8× 393 1.6× 256 1.7× 237 1.7× 44 2.1k

Countries citing papers authored by Gergely Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Tóth

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Tóth. A scholar is included among the top collaborators of Gergely Tóth 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 Gergely Tóth. Gergely Tóth 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.
Tóth, Gergely, et al.. (2024). The difference of model robustness assessment using cross‐validation and bootstrap methods. Journal of Chemometrics. 38(6). 6 indexed citations
2.
Tóth, Gergely, et al.. (2023). Patch seriation to visualize data and model parameters. Journal of Cheminformatics. 15(1). 78–78. 1 indexed citations
3.
Kiss, Dóra, et al.. (2018). Committor of elementary reactions on multistate systems. The Journal of Chemical Physics. 148(13). 134107–134107. 2 indexed citations
4.
Tóth, Gergely, et al.. (2017). On the definition of mean, variance and covariance for periodic variables to avoid ambiguity in chemometric and bioinformatic data evaluation. Chemometrics and Intelligent Laboratory Systems. 168. 10–14. 1 indexed citations
5.
Tóth, Gergely, et al.. (2015). Polymer melt viscosity measuring by an injection machine. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 2(2). 112–117. 2 indexed citations
6.
Tóth, Gergely, Zsolt Bodai, & Károly Héberger. (2013). Estimation of influential points in any data set from coefficient of determination and its leave-one-out cross-validated counterpart. Journal of Computer-Aided Molecular Design. 27(10). 837–844. 23 indexed citations
7.
Tóth, Gyula I., Tamás Pusztai, György Tegze, Gergely Tóth, & László Gránásy. (2011). Amorphous Nucleation Precursor in Highly Nonequilibrium Fluids. Physical Review Letters. 107(17). 175702–175702. 72 indexed citations
8.
Tóth, Gergely. (2011). Destruction of normal distribution in small samples by centering and scaling. Journal of Chemometrics. 25(5). 247–253. 1 indexed citations
9.
10.
Tóth, Gyula I., György Tegze, Tamás Pusztai, Gergely Tóth, & László Gránásy. (2010). Polymorphism, crystal nucleation and growth in the phase-field crystal model in 2D and 3D. Journal of Physics Condensed Matter. 22(36). 364101–364101. 98 indexed citations
11.
Tóth, Gergely. (2008). Microscopic Kinetic Data on Crystal Growth from Macroscopic Morphology. Crystal Growth & Design. 8(11). 3959–3964. 7 indexed citations
12.
Tóth, Gergely. (2007). Interactions from diffraction data: historical and comprehensive overview of simulation assisted methods. Journal of Physics Condensed Matter. 19(33). 335220–335220. 22 indexed citations
13.
Tóth, Gergely, et al.. (2007). The Role and Significance of Unconventional Hydrogen Bonds in Small Molecule Recognition by Biological Receptors of Pharmaceutical Relevance. Current Pharmaceutical Design. 13(34). 3476–3493. 58 indexed citations
14.
Tóth, Gergely. (2007). Effective potentials from complex simulations: a potential-matching algorithm and remarks on coarse-grained potentials. Journal of Physics Condensed Matter. 19(33). 335222–335222. 38 indexed citations
15.
Tóth, Gergely. (2003). An iterative scheme to derive pair potentials from structure factors and its application to liquid mercury. The Journal of Chemical Physics. 118(9). 3949–3955. 21 indexed citations
16.
Watts, Charles R., Gergely Tóth, Richard F. Murphy, & Sándor Lovas. (2001). Domain movement in the epidermal growth factor family of peptides. Journal of Molecular Structure THEOCHEM. 535(1-3). 171–182. 6 indexed citations
17.
Tóth, Gergely. (1997). Quantum Chemical Study of the Different Forms of Nitric Acid Monohydrate. The Journal of Physical Chemistry A. 101(47). 8871–8876. 19 indexed citations
18.
Baranyai, András & Gergely Tóth. (1997). Fluctuation of the pair-correlation function. The Journal of Chemical Physics. 107(20). 8575–8576. 8 indexed citations
19.
Tóth, Gergely & László Pusztai. (1992). Comparative studies of the underlying local order corresponding to different radial distribution functions of disordered materials. Chemical Physics. 160(3). 405–413. 4 indexed citations
20.
Pusztai, László & Gergely Tóth. (1991). On the uniqueness of the Reverse Monte Carlo simulation. I. Simple liquids, partial radial distribution functions. The Journal of Chemical Physics. 94(4). 3042–3049. 46 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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