Robert Bamler
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
- Filtration and Separation top 10%
Papers in
-
- Natural Language Processing Techniques 2
- Adversarial Robustness in Machine Learning 2
- Topic Modeling 2
-
- Magnetic properties of thin films 2
- Co-authors
- Stephan Mandt (10 shared papers)Achim Rosch (3 shared papers)Fabian Jirasek (4 shared papers)Yuriy Mokrousov (1 shared paper)Frank Freimuth (1 shared paper)M. Halder (1 shared paper)Michael Bortz (2 shared papers)Hans Hasse (2 shared papers)
- Journals
- Physical Review B (2 papers)Chemical Communications (1 paper)Chemical Science (1 paper)The Journal of Physical Chemistry Letters (1 paper)Physical Review Letters (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Robert Bamler
15 papers receiving 350 citations
Peers
Comparison fields: 5 of 66
- Condensed Matter Physics 79
- Filtration and Separation 13
- Computational Mathematics 3
- Atomic and Molecular Physics, and Optics 149
- Electronic, Optical and Magnetic Materials 76
Countries citing papers authored by Robert Bamler
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
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-authors
The 20 scholars most cited alongside Robert Bamler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | 2020 | 68 | |
| 3 | 2013 | 64 | |
| 4 | Dynamic word embeddings | 2017 | 40 |
| 5 | 2020 | 29 | |
| 6 | 2009 | 25 | |
| 7 | 2022 | 25 | |
| 8 | Improving Inference for Neural Image Compression | 2020 | 5 |
| 9 | Dynamic Word Embeddings via Skip-Gram Filtering. | 2017 | 4 |
| 10 | 2015 | 4 | |
| 11 | 2020 | 4 | |
| 12 | Perturbative Black Box Variational Inference | 2017 | 3 |
| 13 | Probabilistic Knowledge Graph Embeddings | 2018 | 3 |
| 14 | 2020 | 3 | |
| 15 | 2025 | 2 |
About Robert Bamler
Robert Bamler is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Molecular Biology, having authored 15 papers that have together received 365 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Adversarial Robustness in Machine Learning (2 papers), Magnetic properties of thin films (2 papers), Topic Modeling (2 papers), Fish biology, ecology, and behavior (1 paper), Physics of Superconductivity and Magnetism (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Condensed Matter Physics (79 citations), Filtration and Separation (13 citations), Computational Mathematics (3 citations), Atomic and Molecular Physics, and Optics (149 citations) and Electronic, Optical and Magnetic Materials (76 citations). Robert Bamler has collaborated with scholars based in Germany and United States. Frequent co-authors include Stephan Mandt, Achim Rosch, Fabian Jirasek, Yuriy Mokrousov, Frank Freimuth, M. Halder, Michael Bortz, Hans Hasse, Robert A. Ritz and Christian Franz. Their work appears in journals such as Physical Review B, Chemical Communications, Chemical Science, The Journal of Physical Chemistry Letters and Physical Review Letters.
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.