E. Wimmer

13.0k total citations · 5 hit papers
133 papers, 10.9k citations indexed

About

E. Wimmer is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, E. Wimmer has authored 133 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Materials Chemistry, 65 papers in Atomic and Molecular Physics, and Optics and 40 papers in Electrical and Electronic Engineering. Recurrent topics in E. Wimmer's work include Advanced Chemical Physics Studies (55 papers), Surface and Thin Film Phenomena (21 papers) and Semiconductor materials and devices (17 papers). E. Wimmer is often cited by papers focused on Advanced Chemical Physics Studies (55 papers), Surface and Thin Film Phenomena (21 papers) and Semiconductor materials and devices (17 papers). E. Wimmer collaborates with scholars based in United States, France and Austria. E. Wimmer's co-authors include Jan Andzelm, M. Weinert, Dennis R. Salahub, Nathalie Godbout, A. J. Freeman, Henry Krakauer, A. J. Freeman, A. J. Freeman, David A. Dixon and Carlos Sosa and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

E. Wimmer

129 papers receiving 10.5k citations

Hit Papers

Optimization of Gaussian-type basis sets for local spin d... 1981 2026 1996 2011 1992 1981 1992 1982 1992 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Wimmer United States 40 4.8k 4.6k 1.8k 1.7k 1.7k 133 10.9k
János G. Ángyán France 44 4.2k 0.9× 5.4k 1.2× 2.1k 1.2× 1.1k 0.6× 1.4k 0.8× 131 10.2k
M. A. Blanco Spain 42 2.5k 0.5× 5.9k 1.3× 1.4k 0.8× 1.2k 0.7× 2.6k 1.6× 89 9.7k
E. Francisco Spain 37 2.8k 0.6× 4.4k 1.0× 1000 0.6× 1.4k 0.8× 1.6k 0.9× 142 8.1k
Gábor I. Csonka Hungary 38 4.9k 1.0× 9.5k 2.1× 4.0k 2.3× 1.5k 0.9× 3.5k 2.0× 116 15.5k
Horia Metiu United States 71 6.5k 1.3× 9.5k 2.1× 2.9k 1.7× 822 0.5× 1.7k 1.0× 350 17.4k
M. P. Teter United States 13 4.8k 1.0× 8.5k 1.9× 3.8k 2.2× 685 0.4× 2.1k 1.2× 26 14.8k
Ángel Martín Pendás Spain 47 3.6k 0.7× 4.0k 0.9× 1.0k 0.6× 2.2k 1.3× 1.4k 0.8× 230 9.0k
Andreas Görling Germany 64 7.2k 1.5× 7.6k 1.7× 3.6k 2.1× 2.0k 1.1× 1.2k 0.7× 309 14.5k
Carlo Gatti Italy 44 2.5k 0.5× 4.3k 0.9× 1.5k 0.8× 1.9k 1.1× 1.3k 0.7× 159 8.5k
R. N. Barnett United States 53 5.3k 1.1× 5.7k 1.2× 1.4k 0.8× 690 0.4× 1.8k 1.0× 160 10.9k

Countries citing papers authored by E. Wimmer

Since Specialization
Citations

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

Fields of papers citing papers by E. Wimmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Wimmer

This figure shows the co-authorship network connecting the top 25 collaborators of E. Wimmer. A scholar is included among the top collaborators of E. Wimmer 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 E. Wimmer. E. Wimmer 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.
Bui, Tai, et al.. (2024). A dual-cutoff machine-learned potential for condensed organic systems obtained via uncertainty-guided active learning. Physical Chemistry Chemical Physics. 26(34). 22665–22680. 2 indexed citations
2.
Christensen, Morten H., et al.. (2024). Atomistic modelling of tritium thermodynamics and kinetics in tungsten and its oxides. Nuclear Materials and Energy. 38. 101611–101611. 1 indexed citations
3.
Rozanska, Xavier, et al.. (2023). Selective H2S Absorption in Aqueous Tertiary Alkanolamine Solvents: Experimental Measurements and Quantitative Kinetic Model. Industrial & Engineering Chemistry Research. 62(29). 11480–11490. 9 indexed citations
4.
Orlov, Alexey A., Alain Valtz, Christophe Coquelet, et al.. (2022). Computational screening methodology identifies effective solvents for CO2 capture. Communications Chemistry. 5(1). 37–37. 40 indexed citations
5.
Christensen, Mikael, Marianna Yiannourakou, Clint B. Geller, et al.. (2022). Interaction Between Hydrogen, Hydrides, and Defects in Zirconium: Insight from Atomistic Simulations. 286–300. 1 indexed citations
6.
Hu, Jing, Junliang Liu, Sergio Lozano‐Perez, et al.. (2019). Hydrogen pickup during oxidation in aqueous environments: The role of nano-pores and nano-pipes in zirconium oxide films. Acta Materialia. 180. 105–115. 52 indexed citations
8.
France‐Lanord, Arthur, P. Soukiassian, D. C. Glattli, & E. Wimmer. (2017). Thermal Transport in Supported Graphene: Substrate Effects on Collective Excitations. Physical Review Applied. 7(3). 10 indexed citations
9.
France‐Lanord, Arthur, P. Soukiassian, D. C. Glattli, & E. Wimmer. (2016). Ab initio parameterization of a charge optimized many-body forcefield for Si–SiO2: Validation and thermal transport in nanostructures. The Journal of Chemical Physics. 144(10). 104705–104705. 13 indexed citations
10.
Christensen, Mikael, W. Wolf, C. M. Freeman, et al.. (2014). H inα-Zr and in zirconium hydrides: solubility, effect on dimensional changes, and the role of defects. Journal of Physics Condensed Matter. 27(2). 25402–25402. 58 indexed citations
12.
Wimmer, E., et al.. (2007). Structure and optical properties of - and -cerium sesquisulfide. Journal of Alloys and Compounds. 459(1-2). 438–446. 17 indexed citations
13.
Geller, Clint B. & E. Wimmer. (2003). Electronic Structure Modeling as a Screening Tool for Molybdenum Alloy Development. APS March Meeting Abstracts. 2003. 1 indexed citations
14.
Wimmer, E.. (1996). Computational materials design and processing: perspectives for atomistic approaches. Materials Science and Engineering B. 37(1-3). 72–82. 10 indexed citations
15.
Fu, C. L., A. J. Freeman, E. Wimmer, & M. Weinert. (1985). Frozen-Phonon Total-Energy Determination of Structural Surface Phase Transitions: W(001). Physical Review Letters. 54(20). 2261–2264. 100 indexed citations
16.
Wimmer, E.. (1984). All-electron local density functional study of metallic monolayers. III. Transition metals Sc to Cu. Journal of Physics F Metal Physics. 14(11). 2613–2624. 17 indexed citations
17.
Wimmer, E.. (1984). All-electron local density functional study of metallic monolayers. II. Alkaline-earth metals. Journal of Physics F Metal Physics. 14(3). 681–690. 40 indexed citations
18.
Freeman, A. J., Henry Krakauer, Shuhei Ohnishi, et al.. (1983). Magnetism at surfaces and interfaces. Journal of Magnetism and Magnetic Materials. 38(3). 269–272. 18 indexed citations
19.
Jansen, H. J. F., A. J. Freeman, M. Weinert, & E. Wimmer. (1983). Phase transitions in a mercury monolayer. Physical review. B, Condensed matter. 28(2). 593–597. 41 indexed citations
20.
Weinert, M., E. Wimmer, & A. J. Freeman. (1982). Total-energy all-electron density functional method for bulk solids and surfaces. Physical review. B, Condensed matter. 26(8). 4571–4578. 809 indexed citations breakdown →

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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