Robert Bamler

806 total citations
15 papers, 365 citations indexed

About

Robert Bamler is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Robert Bamler has authored 15 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Robert Bamler's work include Computational Drug Discovery Methods (2 papers), Topic Modeling (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Robert Bamler is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Topic Modeling (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Robert Bamler collaborates with scholars based in Germany and United States. Robert Bamler's co-authors include Stephan Mandt, Achim Rosch, Fabian Jirasek, Frank Freimuth, Yuriy Mokrousov, C. Pfleiderer, Michael Bortz, Martin Wagner, Marius Kloft and Hans Hasse and has published in prestigious journals such as Physical Review Letters, Physical Review B and Chemical Communications.

In The Last Decade

Robert Bamler

15 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Bamler Germany 7 149 79 76 68 59 15 365
Farhad Shahbazi Iran 13 127 0.9× 129 1.6× 41 0.5× 100 1.5× 41 0.7× 46 450
Jean-Jacques Niez France 10 105 0.7× 93 1.2× 89 1.2× 59 0.9× 109 1.8× 26 345
Tong Zhou China 12 283 1.9× 28 0.4× 37 0.5× 169 2.5× 27 0.5× 44 491
Zhidong Zhang China 12 147 1.0× 20 0.3× 305 4.0× 99 1.5× 30 0.5× 70 449
Marianna De Santis Italy 12 195 1.3× 514 6.5× 231 3.0× 130 1.9× 17 0.3× 34 705
Nick Wright United Kingdom 8 34 0.2× 33 0.4× 97 1.3× 158 2.3× 30 0.5× 25 480
Andreas Sorge Germany 5 50 0.3× 103 1.3× 57 0.8× 36 0.5× 19 0.3× 6 574
Bao Wang China 18 555 3.7× 13 0.2× 13 0.2× 36 0.5× 149 2.5× 50 1.0k
Horia D. Cornean Denmark 13 329 2.2× 55 0.7× 14 0.2× 177 2.6× 28 0.5× 81 601
B. Straughn United States 9 105 0.7× 182 2.3× 73 1.0× 23 0.3× 78 1.3× 14 346

Countries citing papers authored by Robert Bamler

Since Specialization
Citations

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

Fields of papers citing papers by Robert Bamler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Bamler

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

All Works

15 of 15 papers shown
1.
Jirasek, Fabian, et al.. (2025). Balancing molecular information and empirical data in the prediction of physico-chemical properties. Digital Discovery. 4(3). 683–693. 2 indexed citations
2.
Jirasek, Fabian, Robert Bamler, Michael Bortz, et al.. (2022). Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions. Chemical Science. 13(17). 4854–4862. 25 indexed citations
3.
Yang, Yibo, Robert Bamler, & Stephan Mandt. (2020). Improving Inference for Neural Image Compression. arXiv (Cornell University). 33. 573–584. 5 indexed citations
4.
Bamler, Robert, et al.. (2020). User-Dependent Neural Sequence Models for Continuous-Time Event Data. arXiv (Cornell University). 33. 21488–21499. 4 indexed citations
5.
Jirasek, Fabian, Robert Bamler, & Stephan Mandt. (2020). Hybridizing physical and data-driven prediction methods for physicochemical properties. Chemical Communications. 56(82). 12407–12410. 29 indexed citations
6.
Bamler, Robert & Stephan Mandt. (2020). Extreme Classification via Adversarial Softmax Approximation. ArXiv.org. 3 indexed citations
7.
Jirasek, Fabian, Robert A. Vandermeulen, Robert Bamler, et al.. (2020). Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion. The Journal of Physical Chemistry Letters. 11(3). 981–985. 68 indexed citations
8.
Bamler, Robert, et al.. (2018). Probabilistic Knowledge Graph Embeddings. 3 indexed citations
9.
Bamler, Robert, Cheng Zhang, Manfred Opper, & Stephan Mandt. (2017). Perturbative Black Box Variational Inference. Neural Information Processing Systems. 30. 5079–5088. 3 indexed citations
10.
Bamler, Robert & Stephan Mandt. (2017). Dynamic Word Embeddings via Skip-Gram Filtering.. arXiv (Cornell University). 4 indexed citations
11.
Bamler, Robert & Stephan Mandt. (2017). Dynamic word embeddings. International Conference on Machine Learning. 380–389. 40 indexed citations
12.
Bamler, Robert & Achim Rosch. (2015). Equilibration and approximate conservation laws: Dipole oscillations and perfect drag of ultracold atoms in a harmonic trap. Physical Review A. 91(6). 4 indexed citations
13.
Freimuth, Frank, Robert Bamler, Yuriy Mokrousov, & Achim Rosch. (2013). Phase-space Berry phases in chiral magnets: Dzyaloshinskii-Moriya interaction and the charge of skyrmions. Physical Review B. 88(21). 64 indexed citations
14.
Ritz, Robert A., M. Halder, Christian Franz, et al.. (2013). Giant generic topological Hall resistivity of MnSi under pressure. Physical Review B. 87(13). 86 indexed citations
15.
Bamler, Robert, et al.. (2009). Hydrodynamic Object Recognition: When Multipoles Count. Physical Review Letters. 102(5). 58104–58104. 25 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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