Esben L. Kolsbjerg

4.8k total citations
10 papers, 310 citations indexed

About

Esben L. Kolsbjerg is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Esben L. Kolsbjerg has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 4 papers in Electrical and Electronic Engineering and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Esben L. Kolsbjerg's work include Machine Learning in Materials Science (4 papers), Catalytic Processes in Materials Science (3 papers) and Molecular Junctions and Nanostructures (2 papers). Esben L. Kolsbjerg is often cited by papers focused on Machine Learning in Materials Science (4 papers), Catalytic Processes in Materials Science (3 papers) and Molecular Junctions and Nanostructures (2 papers). Esben L. Kolsbjerg collaborates with scholars based in Denmark, United States and Switzerland. Esben L. Kolsbjerg's co-authors include Bjørk Hammer, Michael N. Groves, Andrew A. Peterson, Mathias Jørgensen, Stefan Wendt, Jeppe V. Lauritsen, Zheshen Li, L. Lammich, Line Kyhl and Philip Hofmann and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and Physical review. B..

In The Last Decade

Esben L. Kolsbjerg

10 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esben L. Kolsbjerg Denmark 8 241 63 63 62 44 10 310
Hyunwook Jung South Korea 9 213 0.9× 37 0.6× 57 0.9× 34 0.5× 54 1.2× 18 307
Guillermo Avendaño-Franco United States 9 271 1.1× 33 0.5× 48 0.8× 62 1.0× 29 0.7× 12 363
Jonathan Vandermause United States 7 285 1.2× 76 1.2× 68 1.1× 38 0.6× 37 0.8× 8 349
Henning Glawe Germany 5 390 1.6× 128 2.0× 81 1.3× 39 0.6× 29 0.7× 5 469
Felix Brockherde Germany 2 322 1.3× 111 1.8× 64 1.0× 28 0.5× 25 0.6× 2 350
Sina Stocker Germany 5 222 0.9× 103 1.6× 30 0.5× 35 0.6× 37 0.8× 5 266
Ludwig Schwiedrzik Austria 6 323 1.3× 95 1.5× 44 0.7× 33 0.5× 29 0.7× 6 380
Sayan Banerjee United States 12 243 1.0× 59 0.9× 114 1.8× 24 0.4× 57 1.3× 22 427
Jack B. A. Davis United Kingdom 10 314 1.3× 30 0.5× 51 0.8× 143 2.3× 46 1.0× 12 406
Samare Rostami United States 7 258 1.1× 45 0.7× 90 1.4× 47 0.8× 16 0.4× 14 315

Countries citing papers authored by Esben L. Kolsbjerg

Since Specialization
Citations

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

Fields of papers citing papers by Esben L. Kolsbjerg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esben L. Kolsbjerg. 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 Esben L. Kolsbjerg. The network helps show where Esben L. Kolsbjerg may publish in the future.

Co-authorship network of co-authors of Esben L. Kolsbjerg

This figure shows the co-authorship network connecting the top 25 collaborators of Esben L. Kolsbjerg. A scholar is included among the top collaborators of Esben L. Kolsbjerg 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 Esben L. Kolsbjerg. Esben L. Kolsbjerg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Kolsbjerg, Esben L., et al.. (2020). NH3 on anatase TiO2(101): Diffusion mechanisms and the effect of intermolecular repulsion. Physical Review Materials. 4(12). 7 indexed citations
2.
Jørgensen, Mathias, et al.. (2019). Atomistic structure learning. The Journal of Chemical Physics. 151(5). 29 indexed citations
3.
Kolsbjerg, Esben L., et al.. (2018). NH3 adsorption on anatase-TiO2(101). The Journal of Chemical Physics. 148(12). 124704–124704. 15 indexed citations
4.
Kolsbjerg, Esben L., Guillaume Goubert, Peter H. McBreen, & Bjørk Hammer. (2018). Rotation and diffusion of naphthalene on Pt(111). The Journal of Chemical Physics. 148(12). 124703–124703. 3 indexed citations
5.
Kolsbjerg, Esben L., et al.. (2018). Machine learning enhanced global optimization by clustering local environments to enable bundled atomic energies. The Journal of Chemical Physics. 149(13). 134104–134104. 31 indexed citations
6.
Kolsbjerg, Esben L., Andrew A. Peterson, & Bjørk Hammer. (2018). Neural-network-enhanced evolutionary algorithm applied to supported metal nanoparticles. Physical review. B.. 97(19). 92 indexed citations
7.
Kyhl, Line, R. Bisson, Richard Balog, et al.. (2017). Exciting H2 Molecules for Graphene Functionalization. ACS Nano. 12(1). 513–520. 24 indexed citations
8.
Kolsbjerg, Esben L., et al.. (2017). Supramolecular Corrals on Surfaces Resulting from Aromatic Interactions of Nonplanar Triazoles. ACS Nano. 11(8). 8302–8310. 7 indexed citations
9.
Kolsbjerg, Esben L., Michael N. Groves, & Bjørk Hammer. (2016). An automated nudged elastic band method. The Journal of Chemical Physics. 145(9). 94107–94107. 85 indexed citations
10.
Kolsbjerg, Esben L., Michael N. Groves, & Bjørk Hammer. (2016). Pyridine adsorption and diffusion on Pt(111) investigated with density functional theory. The Journal of Chemical Physics. 144(16). 164112–164112. 17 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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