Thomas Weymuth

769 total citations
24 papers, 548 citations indexed

About

Thomas Weymuth is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Thomas Weymuth has authored 24 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 9 papers in Atomic and Molecular Physics, and Optics and 8 papers in Spectroscopy. Recurrent topics in Thomas Weymuth's work include Machine Learning in Materials Science (11 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Molecular spectroscopy and chirality (7 papers). Thomas Weymuth is often cited by papers focused on Machine Learning in Materials Science (11 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Molecular spectroscopy and chirality (7 papers). Thomas Weymuth collaborates with scholars based in Switzerland, Germany and Denmark. Thomas Weymuth's co-authors include Markus Reiher, Peter Chen, Erik P. A. Couzijn, Christoph R. Jacob, Jonny Proppe, Jan P. Unsleber, Johannes Neugebauer, Carmen Herrmann, Karin Kiewisch and Sandra Luber and has published in prestigious journals such as The Journal of Chemical Physics, Accounts of Chemical Research and The Journal of Physical Chemistry B.

In The Last Decade

Thomas Weymuth

24 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Weymuth Switzerland 13 230 187 133 122 106 24 548
Vilhjálmur Ásgeirsson Germany 7 179 0.8× 140 0.7× 117 0.9× 91 0.7× 79 0.7× 9 481
Sebastian Dohm Germany 8 193 0.8× 197 1.1× 117 0.9× 202 1.7× 67 0.6× 9 573
Adam H. Steeves United States 16 273 1.2× 306 1.6× 223 1.7× 55 0.5× 114 1.1× 31 691
Akshaya Kumar Das United States 14 291 1.3× 360 1.9× 110 0.8× 62 0.5× 146 1.4× 27 697
Makito Takagi Japan 11 362 1.6× 120 0.6× 49 0.4× 153 1.3× 71 0.7× 28 613
Laurence Leherte Belgium 14 233 1.0× 126 0.7× 114 0.9× 54 0.4× 165 1.6× 72 592
Anmol Kumar United States 14 120 0.5× 151 0.8× 83 0.6× 175 1.4× 176 1.7× 32 599
Umberto Raucci Italy 18 375 1.6× 231 1.2× 78 0.6× 186 1.5× 165 1.6× 43 866
K. V. Jovan Jose India 17 254 1.1× 297 1.6× 213 1.6× 166 1.4× 122 1.2× 32 670
Yosuke Sumiya Japan 11 161 0.7× 73 0.4× 40 0.3× 156 1.3× 71 0.7× 13 416

Countries citing papers authored by Thomas Weymuth

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Weymuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Weymuth

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Weymuth. A scholar is included among the top collaborators of Thomas Weymuth 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 Thomas Weymuth. Thomas Weymuth 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.
Thomasen, F. Emil, et al.. (2025). Hierarchical Quantum Embedding by Machine Learning for Large Molecular Assemblies. Journal of Chemical Theory and Computation. 21(15). 7662–7674. 2 indexed citations
2.
Thomasen, F. Emil, et al.. (2025). Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies. Journal of Chemical Theory and Computation. 21(16). 8182–8198. 4 indexed citations
3.
Unsleber, Jan P., et al.. (2024). Heron:Visualizing and Controlling Chemical Reaction Explorations and Networks. The Journal of Physical Chemistry A. 128(41). 9028–9044. 1 indexed citations
4.
Unsleber, Jan P., Alain C. Vaucher, Thomas Weymuth, et al.. (2023). Quantum chemical data generation as fill-in for reliability enhancement of machine-learning reaction and retrosynthesis planning. Digital Discovery. 2(3). 663–673. 7 indexed citations
5.
Vaucher, Alain C., et al.. (2023). Ultra-fast semi-empirical quantum chemistry for high-throughput computational campaigns with Sparrow. The Journal of Chemical Physics. 158(5). 54118–54118. 14 indexed citations
6.
Unsleber, Jan P., Hongbin Liu, Leopold Talirz, et al.. (2023). High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation. The Journal of Chemical Physics. 158(8). 84803–84803. 13 indexed citations
7.
Weymuth, Thomas & Markus Reiher. (2021). Immersive Interactive Quantum Mechanics for Teaching and Learning Chemistry. CHIMIA International Journal for Chemistry. 75(1-2). 45–45. 12 indexed citations
8.
Unsleber, Jan P., et al.. (2020). qcscine/readuct: Release 2.0.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Weymuth, Thomas. (2019). Resonance Effects in the Raman Optical Activity Spectrum of [Rh(en)3]3+. The Journal of Physical Chemistry A. 123(43). 9357–9370. 1 indexed citations
10.
Shen, Chengshuo, Monika Srebro‐Hooper, Thomas Weymuth, et al.. (2018). Redox‐Active Chiroptical Switching in Mono‐ and Bis‐Iron Ethynylcarbo[6]helicenes Studied by Electronic and Vibrational Circular Dichroism and Resonance Raman Optical Activity. Chemistry - A European Journal. 24(56). 15067–15079. 25 indexed citations
11.
Weymuth, Thomas, Jonny Proppe, & Markus Reiher. (2018). Statistical Analysis of Semiclassical Dispersion Corrections. Journal of Chemical Theory and Computation. 14(5). 2480–2494. 20 indexed citations
13.
Weymuth, Thomas & Markus Reiher. (2014). Systematic dependence of transition‐metal coordination energies on density‐functional parametrizations. International Journal of Quantum Chemistry. 115(2). 90–98. 7 indexed citations
14.
Weymuth, Thomas, Erik P. A. Couzijn, Peter Chen, & Markus Reiher. (2014). New Benchmark Set of Transition-Metal Coordination Reactions for the Assessment of Density Functionals. Journal of Chemical Theory and Computation. 10(8). 3092–3103. 177 indexed citations
15.
Weymuth, Thomas & Markus Reiher. (2013). Toward an Inverse Approach for the Design of Small-Molecule Fixating Catalysts. MRS Proceedings. 1524. 5 indexed citations
16.
Weymuth, Thomas & Markus Reiher. (2013). Characteristic Raman Optical Activity Signatures of Protein β-Sheets. The Journal of Physical Chemistry B. 117(40). 11943–11953. 18 indexed citations
17.
Weymuth, Thomas, Karin Kiewisch, Sandra Luber, et al.. (2012). MOVIPAC: Vibrational spectroscopy with a robust meta‐program for massively parallel standard and inverse calculations. Journal of Computational Chemistry. 33(27). 2186–2198. 57 indexed citations
18.
Weymuth, Thomas, et al.. (2012). How Many Chiral Centers Can Raman Optical Activity Spectroscopy Distinguish in a Molecule?. The Journal of Physical Chemistry A. 116(22). 5410–5419. 17 indexed citations
19.
Weymuth, Thomas, Christoph R. Jacob, & Markus Reiher. (2011). Identifying Protein β‐Turns with Vibrational Raman Optical Activity. ChemPhysChem. 12(6). 1165–1175. 12 indexed citations
20.
Weymuth, Thomas, Christoph R. Jacob, & Markus Reiher. (2010). A Local-Mode Model for Understanding the Dependence of the Extended Amide III Vibrations on Protein Secondary Structure. The Journal of Physical Chemistry B. 114(32). 10649–10660. 58 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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