Andreas M. Köster

6.3k total citations
164 papers, 4.7k citations indexed

About

Andreas M. Köster is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Andreas M. Köster has authored 164 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Atomic and Molecular Physics, and Optics, 63 papers in Materials Chemistry and 44 papers in Organic Chemistry. Recurrent topics in Andreas M. Köster's work include Advanced Chemical Physics Studies (105 papers), Spectroscopy and Quantum Chemical Studies (27 papers) and Machine Learning in Materials Science (17 papers). Andreas M. Köster is often cited by papers focused on Advanced Chemical Physics Studies (105 papers), Spectroscopy and Quantum Chemical Studies (27 papers) and Machine Learning in Materials Science (17 papers). Andreas M. Köster collaborates with scholars based in Mexico, Germany and Canada. Andreas M. Köster's co-authors include Patrizia Calaminici, Karl Jug, J. Ulises Reveles, Dennis R. Salahub, Jorge M. del Campo, Roberto Flores‐Moreno, Jadran Vrabec, Gerald Geudtner, Bernardo Zúñiga-Gutiérrez and Florian Janetzko and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Andreas M. Köster

161 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas M. Köster Mexico 35 2.4k 2.1k 1.1k 595 584 164 4.7k
Narbe Mardirossian United States 19 2.2k 0.9× 1.9k 0.9× 1.2k 1.1× 471 0.8× 299 0.5× 25 4.8k
A. Daniel Boese Austria 26 2.4k 1.0× 1.7k 0.8× 1.5k 1.4× 565 0.9× 246 0.4× 70 5.0k
Vincenzo Schettino Italy 41 2.0k 0.8× 2.0k 0.9× 1.1k 1.0× 367 0.6× 533 0.9× 148 5.2k
Fawzi Mohamed Switzerland 18 2.4k 1.0× 2.8k 1.3× 562 0.5× 1.2k 2.1× 707 1.2× 23 6.7k
Sourav Pal India 37 2.6k 1.1× 1.1k 0.5× 939 0.9× 763 1.3× 230 0.4× 190 4.6k
Robert A. DiStasio United States 34 3.3k 1.3× 3.1k 1.5× 958 0.9× 1.1k 1.9× 584 1.0× 70 6.9k
Jan Gerit Brandenburg Germany 29 1.4k 0.6× 2.1k 1.0× 1.1k 1.0× 540 0.9× 368 0.6× 46 4.4k
Manuel Alcamı́ Spain 36 2.3k 1.0× 1.9k 0.9× 1.4k 1.3× 864 1.5× 456 0.8× 175 4.7k
Roberto Peverati United States 21 2.0k 0.8× 1.6k 0.8× 1.4k 1.3× 499 0.8× 187 0.3× 43 4.3k
Štefan Vajda United States 40 1.7k 0.7× 5.1k 2.5× 1.1k 1.0× 985 1.7× 438 0.8× 143 7.8k

Countries citing papers authored by Andreas M. Köster

Since Specialization
Citations

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

Fields of papers citing papers by Andreas M. Köster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas M. Köster. 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 Andreas M. Köster. The network helps show where Andreas M. Köster may publish in the future.

Co-authorship network of co-authors of Andreas M. Köster

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas M. Köster. A scholar is included among the top collaborators of Andreas M. Köster 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 Andreas M. Köster. Andreas M. Köster 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.
Geudtner, Gerald & Andreas M. Köster. (2025). First Principles Global Optimization Method From Parallel Tempering Molecular Dynamics. Journal of Computational Chemistry. 46(6). e70057–e70057. 1 indexed citations
2.
Flores‐Moreno, Roberto, et al.. (2025). Automatic Generation of Even-Tempered Auxiliary Basis Sets with Shared Exponents for Density Fitting. Journal of Chemical Theory and Computation. 21(5). 2338–2352. 2 indexed citations
3.
Álvarez, Jorge, et al.. (2025). Constrained Structure Minimizations on Hyperspheres for Minimum Energy Path Following. Journal of Chemical Information and Modeling. 65(7). 3488–3501. 1 indexed citations
4.
Alejandre, José, et al.. (2024). A molecular mechanics implementation of the cyclic cluster model. Zeitschrift für Naturforschung B. 79(4). 201–213. 1 indexed citations
5.
Hostaš, Jiří, Patrizia Calaminici, Maicon Pierre Lourenço, et al.. (2023). How important is the amount of exact exchange for spin-state energy ordering in DFT? Case study of molybdenum carbide cluster, Mo4C2. The Journal of Chemical Physics. 159(18). 3 indexed citations
6.
Calaminici, Patrizia, et al.. (2023). Cartesian constraints in QM/MM optimizations. Journal of Computational Chemistry. 44(30). 2358–2368. 2 indexed citations
7.
Zúñiga-Gutiérrez, Bernardo, et al.. (2022). 1H NMR global diatropicity in copper hydride complexes. Nanoscale. 14(35). 12668–12676. 3 indexed citations
8.
Lourenço, Maicon Pierre, Jiří Hostaš, Patrizia Calaminici, et al.. (2022). Automatic structural elucidation of vacancies in materials by active learning. Physical Chemistry Chemical Physics. 24(41). 25227–25239. 10 indexed citations
9.
Lourenço, Maicon Pierre, Jiří Hostaš, Patrizia Calaminici, et al.. (2022). GAMaterial—A genetic‐algorithm software for material design and discovery. Journal of Computational Chemistry. 44(7). 814–823. 15 indexed citations
10.
Hostaš, Jiří, Alain Tchagang, Maicon Pierre Lourenço, Andreas M. Köster, & Dennis R. Salahub. (2021). Global optimization of ~ 1 nm MoS2 and CaCO3 nanoparticles. Theoretical Chemistry Accounts. 140(4). 4 indexed citations
11.
Mausbach, Peter, Andreas M. Köster, & Jadran Vrabec. (2018). Liquid state isomorphism, Rosenfeld-Tarazona temperature scaling, and Riemannian thermodynamic geometry. Physical review. E. 97(5). 52149–52149. 14 indexed citations
12.
Blades, William, et al.. (2017). Evolution of the Spin Magnetic Moments and Atomic Valence of Vanadium in VCux+, VAgx+, and VAux+ Clusters (x = 3–14). The Journal of Physical Chemistry A. 121(15). 2990–2999. 32 indexed citations
13.
Lande, Aurélien de la, Carine Clavaguéra, & Andreas M. Köster. (2017). On the accuracy of population analyses based on fitted densities#. Journal of Molecular Modeling. 23(4). 99–99. 14 indexed citations
14.
Campo, Jorge M. del & Andreas M. Köster. (2009). The Importance of Step Control in Optimization Methods. Croatica Chemica Acta. 82(1). 283–290. 2 indexed citations
15.
Rodríguez, Juan I., et al.. (2008). An efficient grid‐based scheme to compute QTAIM atomic properties without explicit calculation of zero‐flux surfaces. Journal of Computational Chemistry. 30(7). 1082–1092. 70 indexed citations
16.
Flores‐Moreno, Roberto, et al.. (2006). Half‐numerical evaluation of pseudopotential integrals. Journal of Computational Chemistry. 27(9). 1009–1019. 23 indexed citations
17.
Geudtner, Gerald, Florian Janetzko, Andreas M. Köster, Alberto Vela, & Patrizia Calaminici. (2006). Parallelization of the deMon2k code. Journal of Computational Chemistry. 27(4). 483–490. 42 indexed citations
18.
Goursot, Annick, et al.. (2006). Theoretical Study of CuIY Zeolite:  Structure and Electronic Properties. The Journal of Physical Chemistry B. 110(37). 18440–18446. 7 indexed citations
19.
Calaminici, Patrizia, et al.. (2005). Parallelization of the variational fitting of the Coulomb potential. Superficies y Vacío. 18(1). 1–3. 2 indexed citations
20.
Reveles, J. Ulises & Andreas M. Köster. (2004). Geometry optimization in density functional methods. Journal of Computational Chemistry. 25(9). 1109–1116. 132 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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