Eva Perlt

2.0k total citations
26 papers, 497 citations indexed

About

Eva Perlt is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Biomedical Engineering. According to data from OpenAlex, Eva Perlt has authored 26 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 5 papers in Physical and Theoretical Chemistry and 5 papers in Biomedical Engineering. Recurrent topics in Eva Perlt's work include Advanced Chemical Physics Studies (15 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and Quantum, superfluid, helium dynamics (4 papers). Eva Perlt is often cited by papers focused on Advanced Chemical Physics Studies (15 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and Quantum, superfluid, helium dynamics (4 papers). Eva Perlt collaborates with scholars based in Germany, United States and Austria. Eva Perlt's co-authors include Barbara Kirchner, Michael von Domaros, Joachim Friedrich, Christian Spickermann, Marc Brüssel, Martin Roatsch, Sebastian B. C. Lehmann, Ralf Ludwig, Frank Weinhold and Andreas Hansen 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

Eva Perlt

26 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Perlt Germany 15 299 133 112 108 97 26 497
Lucas Koziol United States 14 201 0.7× 147 1.1× 70 0.6× 35 0.3× 94 1.0× 26 506
David K. Malick United States 5 301 1.0× 152 1.1× 78 0.7× 62 0.6× 285 2.9× 6 615
Maria Demireva United States 16 259 0.9× 145 1.1× 257 2.3× 37 0.3× 102 1.1× 29 610
Peter Vansteenkiste Belgium 11 241 0.8× 137 1.0× 69 0.6× 89 0.8× 273 2.8× 12 544
Evan B. Jochnowitz Switzerland 11 177 0.6× 94 0.7× 126 1.1× 46 0.4× 83 0.9× 16 401
Philippe A. Bopp Germany 11 232 0.8× 139 1.0× 90 0.8× 88 0.8× 114 1.2× 25 464
Tatsuya Joutsuka Japan 11 278 0.9× 127 1.0× 80 0.7× 43 0.4× 24 0.2× 30 455
Hideya Koizumi United States 14 223 0.7× 74 0.6× 257 2.3× 44 0.4× 73 0.8× 26 459
Ádám Ganyecz Hungary 10 285 1.0× 166 1.2× 105 0.9× 28 0.3× 96 1.0× 17 528
Derek Walter United States 11 425 1.4× 153 1.2× 167 1.5× 30 0.3× 89 0.9× 12 627

Countries citing papers authored by Eva Perlt

Since Specialization
Citations

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

Fields of papers citing papers by Eva Perlt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Perlt

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Perlt. A scholar is included among the top collaborators of Eva Perlt 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 Eva Perlt. Eva Perlt 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.
Schrader, Tim, et al.. (2024). Machine-learning to predict anharmonic frequencies: a study of models and transferability. Physical Chemistry Chemical Physics. 26(35). 23495–23502. 2 indexed citations
2.
Schrader, Tim, et al.. (2024). The effect of machine learning predicted anharmonic frequencies on thermodynamic properties of fluid hydrogen fluoride. The Journal of Chemical Physics. 160(12). 1 indexed citations
3.
Schrader, Tim, et al.. (2023). Koopmans' theorem for acidic protons. Chemical Communications. 59(93). 13839–13842. 15 indexed citations
4.
Kirchner, Barbara, et al.. (2022). The Ionic Product of Water in the Eye of the Quantum Cluster Equilibrium. Molecules. 27(4). 1286–1286. 6 indexed citations
5.
Darago, Lucy E., Brian D. Nguyen, Eva Perlt, et al.. (2021). Strong Ferromagnetic Exchange Coupling and Single-Molecule Magnetism in MoS43–-Bridged Dilanthanide Complexes. Journal of the American Chemical Society. 143(22). 8465–8475. 32 indexed citations
6.
Domaros, Michael von, et al.. (2021). Molecular Orientation at the Squalene/Air Interface from Sum Frequency Generation Spectroscopy and Atomistic Modeling. The Journal of Physical Chemistry B. 125(15). 3932–3941. 16 indexed citations
7.
Perlt, Eva. (2021). Basis Sets in Computational Chemistry. 13 indexed citations
8.
Perlt, Eva, et al.. (2019). Anharmonicity of Vibrational Modes in Hydrogen Chloride–Water Mixtures. Journal of Chemical Theory and Computation. 15(4). 2535–2547. 5 indexed citations
9.
Domaros, Michael von, et al.. (2018). Peacemaker 2: Making clusters talk about binary mixtures and neat liquids. SoftwareX. 7. 356–359. 27 indexed citations
10.
Domaros, Michael von, et al.. (2018). Thermodynamics and proton activities of protic ionic liquids with quantum cluster equilibrium theory. The Journal of Chemical Physics. 148(19). 193822–193822. 30 indexed citations
11.
Perlt, Eva, et al.. (2018). Finding the best density functional approximation to describe interaction energies and structures of ionic liquids in molecular dynamics studies. The Journal of Chemical Physics. 148(19). 193835–193835. 39 indexed citations
12.
Perlt, Eva, Michael von Domaros, Barbara Kirchner, Ralf Ludwig, & Frank Weinhold. (2017). Predicting the Ionic Product of Water. Scientific Reports. 7(1). 10244–10244. 49 indexed citations
13.
Domaros, Michael von & Eva Perlt. (2017). Anharmonic effects in the quantum cluster equilibrium method. The Journal of Chemical Physics. 146(12). 124114–124114. 14 indexed citations
14.
Perlt, Eva, Marc Brüssel, & Barbara Kirchner. (2014). Floating orbital molecular dynamics simulations. Physical Chemistry Chemical Physics. 16(15). 6997–6997. 7 indexed citations
15.
Perlt, Eva, et al.. (2013). Preparation and Characterization of Dinuclear Nickel(II) Complexes Containing N3Ni(μ1, 3‐SO3R)2(μ‐RCN4)NiN3 Cores: Crystal Structures and Magnetic Properties. Zeitschrift für anorganische und allgemeine Chemie. 639(3-4). 524–532. 1 indexed citations
16.
Brüssel, Marc, Eva Perlt, Michael von Domaros, Martin Brehm, & Barbara Kirchner. (2012). A one-parameter quantum cluster equilibrium approach. The Journal of Chemical Physics. 137(16). 164107–164107. 10 indexed citations
17.
Kirchner, Barbara, Christian Spickermann, Sebastian B. C. Lehmann, et al.. (2011). What can clusters tell us about the bulk?. Computer Physics Communications. 182(7). 1428–1446. 42 indexed citations
18.
Perlt, Eva, Joachim Friedrich, Michael von Domaros, & Barbara Kirchner. (2011). Importance of Structural Motifs in Liquid Hydrogen Fluoride. ChemPhysChem. 12(17). 3474–3482. 28 indexed citations
19.
Brüssel, Marc, Eva Perlt, Sebastian B. C. Lehmann, Michael von Domaros, & Barbara Kirchner. (2011). Binary systems from quantum cluster equilibrium theory. The Journal of Chemical Physics. 135(19). 194113–194113. 39 indexed citations
20.
Friedrich, Joachim, Eva Perlt, Martin Roatsch, Christian Spickermann, & Barbara Kirchner. (2011). Coupled Cluster in Condensed Phase. Part I: Static Quantum Chemical Calculations of Hydrogen Fluoride Clusters. Journal of Chemical Theory and Computation. 7(4). 843–851. 38 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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