Stephan Thaler

547 total citations
13 papers, 167 citations indexed

About

Stephan Thaler is a scholar working on Materials Chemistry, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Stephan Thaler has authored 13 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Stephan Thaler's work include Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (3 papers) and Structural Health Monitoring Techniques (2 papers). Stephan Thaler is often cited by papers focused on Machine Learning in Materials Science (6 papers), Protein Structure and Dynamics (3 papers) and Structural Health Monitoring Techniques (2 papers). Stephan Thaler collaborates with scholars based in Germany, United States and Slovenia. Stephan Thaler's co-authors include Julija Zavadlav, Nikolaus A. Adams, Siby Thomas, Alessio Gagliardi and Matej Praprotnik and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Journal of Chemical Theory and Computation.

In The Last Decade

Stephan Thaler

13 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephan Thaler Germany	7	76	36	28	27	26	13	167
Chaim Goodman-Strauss United States	9	104 1.4×	109 3.0×	15 0.5×	11 0.4×	8 0.3×	16	220
O. Hoenen Germany	7	36 0.5×	19 0.5×	10 0.4×	4 0.1×	5 0.2×	13	139
Hsiau-Hsian Nien Taiwan	10	109 1.4×	69 1.9×	19 0.7×	6 0.2×	52 2.0×	22	439
Lasse Bjørn Kristensen Denmark	8	37 0.5×	23 0.6×	6 0.2×	13 0.5×	17 0.7×	10	235
Andrew Beveridge United States	9	64 0.8×	97 2.7×	3 0.1×	13 0.5×	33 1.3×	26	294
Ferdous M. O. Tawfiq Saudi Arabia	10	14 0.2×	40 1.1×	7 0.3×	12 0.4×	102 3.9×	64	309
Xinlong Zhou China	12	27 0.4×	51 1.4×	13 0.5×	20 0.7×	4 0.2×	52	316
Samuel Daulton Israel	2	12 0.2×	41 1.1×	5 0.2×	9 0.3×	4 0.2×	2	114
Károly Bezdek Hungary	12	31 0.4×	56 1.6×	9 0.3×	4 0.1×	17 0.7×	81	455

Countries citing papers authored by Stephan Thaler

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Thaler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Thaler

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

All Works

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13 of 13 papers shown

Thaler, Stephan, et al.. (2025). chemtrain: Learning deep potential models via automatic differentiation and statistical physics. Computer Physics Communications. 310. 109512–109512. 9 indexed citations

Thaler, Stephan, et al.. (2025). chemtrain-deploy: A Parallel and Scalable Framework for Machine Learning Potentials in Million-Atom MD Simulations. Journal of Chemical Theory and Computation. 21(15). 7550–7560. 5 indexed citations

Thaler, Stephan, et al.. (2024). Active learning graph neural networks for partial charge prediction of metal-organic frameworks via dropout Monte Carlo. npj Computational Materials. 10(1). 18 indexed citations

Thaler, Stephan, et al.. (2024). JaxSGMC: Modular stochastic gradient MCMC in JAX. SoftwareX. 26. 101722–101722. 2 indexed citations

Thaler, Stephan, et al.. (2023). Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls. Journal of Chemical Theory and Computation. 19(14). 4520–4532. 21 indexed citations

Thaler, Stephan & Julija Zavadlav. (2022). Uncertainty Quantification for Molecular Models via Stochastic Gradient MCMC. mediaTUM (Technical University of Munich). 19–20. 3 indexed citations

Thaler, Stephan, et al.. (2022). Deep coarse-grained potentials via relative entropy minimization. The Journal of Chemical Physics. 157(24). 244103–244103. 29 indexed citations

Thaler, Stephan, Matej Praprotnik, & Julija Zavadlav. (2020). Back-mapping augmented adaptive resolution simulation. The Journal of Chemical Physics. 153(16). 164118–164118. 7 indexed citations

Thaler, Stephan, et al.. (2019). Sparse identification of truncation errors. Journal of Computational Physics. 397. 108851–108851. 22 indexed citations

10.

Thaler, Stephan, et al.. (1961). Detection Range Predictions for Pulse Doppler Radar. Proceedings of the IRE. 49(8). 1299–1307. 5 indexed citations

11.

Thaler, Stephan, et al.. (1961). The Amplitude Distribution and False Alarm Rate of Noise after Post-Detection Filtering. Proceedings of the IRE. 49(2). 479–485. 4 indexed citations

12.

Thaler, Stephan, et al.. (1957). Radar Beacon System Performance. ANE-4(2). 65–71. 1 indexed citations

13.

Thaler, Stephan, et al.. (1956). A Simplified Method of Solving Linear and Nonlinear Systems. Proceedings of the IRE. 44(1). 89–101. 41 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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