Tamás Kristóf

1.6k total citations
81 papers, 1.2k citations indexed

About

Tamás Kristóf is a scholar working on Biomedical Engineering, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Tamás Kristóf has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 21 papers in Materials Chemistry and 16 papers in Civil and Structural Engineering. Recurrent topics in Tamás Kristóf's work include Phase Equilibria and Thermodynamics (24 papers), Clay minerals and soil interactions (16 papers) and Iron oxide chemistry and applications (12 papers). Tamás Kristóf is often cited by papers focused on Phase Equilibria and Thermodynamics (24 papers), Clay minerals and soil interactions (16 papers) and Iron oxide chemistry and applications (12 papers). Tamás Kristóf collaborates with scholars based in Hungary, United States and Germany. Tamás Kristóf's co-authors include János Liszi, Gábor Rutkai, Zoltán Lukács, Éva Makó, István Szalai, Dezső Boda, András Kovács, Dirk Gillespie, Gerd Maurer and Johannes Vorholz and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and The Journal of Physical Chemistry C.

In The Last Decade

Tamás Kristóf

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamás Kristóf Hungary 20 491 284 259 178 165 81 1.2k
Serge Durand-Vidal France 26 414 0.8× 545 1.9× 298 1.2× 276 1.6× 250 1.5× 50 2.0k
Thuat T. Trinh Norway 25 465 0.9× 753 2.7× 176 0.7× 214 1.2× 91 0.6× 86 1.8k
Igor Sîreţanu Netherlands 24 268 0.5× 268 0.9× 143 0.6× 238 1.3× 109 0.7× 45 1.5k
Karlheinz Graf Germany 23 708 1.4× 499 1.8× 191 0.7× 322 1.8× 62 0.4× 40 2.4k
Natalie Malikova France 18 251 0.5× 429 1.5× 504 1.9× 171 1.0× 514 3.1× 43 1.5k
F.J. Arroyo Spain 23 714 1.5× 179 0.6× 121 0.5× 60 0.3× 197 1.2× 68 1.6k
Jon Otto Fossum Norway 28 502 1.0× 1.1k 3.7× 564 2.2× 116 0.7× 561 3.4× 114 2.3k
Eddy W. Hansen Norway 24 266 0.5× 868 3.1× 153 0.6× 158 0.9× 91 0.6× 86 2.1k
Remco Hartkamp Netherlands 24 676 1.4× 415 1.5× 46 0.2× 290 1.6× 65 0.4× 53 1.5k
Erwan Paineau France 28 354 0.7× 937 3.3× 682 2.6× 179 1.0× 417 2.5× 98 2.2k

Countries citing papers authored by Tamás Kristóf

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Kristóf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Kristóf

This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Kristóf. A scholar is included among the top collaborators of Tamás Kristóf 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 Tamás Kristóf. Tamás Kristóf 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.
Lukács, Zoltán, et al.. (2021). A dispersion-invariant model of the electrochemical impedance. Electrochimica Acta. 390. 138828–138828. 7 indexed citations
3.
Vrabec, Jadran, et al.. (2020). Molecular simulation study of the curling behavior of the finite free-standing kaolinte layer. Computational Materials Science. 186. 110037–110037. 4 indexed citations
4.
Boda, Dezső, et al.. (2016). Simulation study of a rectifying bipolar ion channel: Detailed model versus reduced model. Condensed Matter Physics. 19(1). 13802–13802. 7 indexed citations
5.
Makó, Éva, et al.. (2015). Simulation assisted characterization of kaolinite–methanol intercalation complexes synthesized using cost-efficient homogenization method. Applied Surface Science. 357. 626–634. 28 indexed citations
6.
Rutkai, Gábor, et al.. (2015). Stability of the kaolinite-guest molecule intercalation system: A molecular simulation study. Fluid Phase Equilibria. 409. 434–438. 7 indexed citations
7.
Makó, Éva, et al.. (2014). Characterization of kaolinite–ammonium acetate complexes prepared by one-step homogenization method. Journal of Colloid and Interface Science. 431. 125–131. 20 indexed citations
8.
Gergely, András & Tamás Kristóf. (2013). Corrosion Protection with Ultrathin Graphene Coatings:a Review. Hungarian Journal of Industry and Chemistry. 41(2). 83–108. 4 indexed citations
9.
Kristóf, Tamás, Dezső Boda, & István Szalai. (2012). An analytic solution for the magnetization of two-dimensional ferrofluids based on the mean spherical approximation. Journal of Physics Condensed Matter. 24(33). 336002–336002. 1 indexed citations
10.
Rutkai, Gábor, Éva Makó, & Tamás Kristóf. (2009). Simulation and experimental study of intercalation of urea in kaolinite. Journal of Colloid and Interface Science. 334(1). 65–69. 61 indexed citations
11.
Kristóf, Tamás, et al.. (2006). Prediction of adsorption equilibria of water–methanol mixtures in zeolite NaA by molecular simulation. Molecular Simulation. 32(10-11). 869–875. 33 indexed citations
12.
Kristóf, Tamás & István Szalai. (2005). Magnetic properties in monolayers of a model polydisperse ferrofluid. Physical Review E. 72(4). 41105–41105. 15 indexed citations
13.
Kristóf, Tamás, Dezső Boda, János Liszi, Douglas Henderson, & Eric D. Carlson. (2003). Vapour-liquid equilibrium of the charged Yukawa fluid from Gibbs ensemble Monte Carlo simulations and the mean spherical approximation. Molecular Physics. 101(11). 1611–1616. 14 indexed citations
14.
Kristóf, Tamás, János Liszi, & Dezső Boda. (2002). The extrapolation of phase equilibrium curves of mixtures in the isobaric—isothermal Gibbs ensemble. Molecular Physics. 100(21). 3429–3441. 8 indexed citations
15.
Boda, Dezső, Tamás Kristóf, János Liszi, & István Szalai. (2002). The extrapolation of the vapour—liquid equilibrium curves of pure fluids in the isothermal Gibbs ensemble. Molecular Physics. 100(12). 1989–2000. 6 indexed citations
16.
Boda, Dezső, Tamás Kristóf, János Liszi, & István Szalai. (2001). A new simulation method for the determination of phase equilibria in mixtures in the grand canonical ensemble. Molecular Physics. 99(24). 2011–2022. 12 indexed citations
17.
Kristóf, Tamás & János Liszi. (2001). Phase coexistence and critical point determination in polydisperse fluids. Molecular Physics. 99(3). 167–173. 14 indexed citations
18.
Kristóf, Tamás & János Liszi. (1998). Alternative Gibbs ensemble Monte Carlo implementations: application in mixtures. Molecular Physics. 94(3). 519–525. 12 indexed citations
19.
Kristóf, Tamás. (1996). Vapour-liquid equilibria for a model of liquid carbon disulphide. Molecular Physics. 89(4). 931–942. 4 indexed citations
20.
Kristóf, Tamás & János Liszi. (1995). Sensitivity Analysis of Some Thermodynamic Properties of 2-Centres Lennard-Jones Liquids. Zeitschrift für Physikalische Chemie. 190(2). 289–297. 5 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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