Jonathan Lahnsteiner
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Solid-state spectroscopy and crystallography
- Advanced Thermoelectric Materials and Devices
- Electronic and Structural Properties of Oxides
-
- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
Papers in
-
- Machine Learning in Materials Science 5
- Solid-state spectroscopy and crystallography 4
- Advanced Thermoelectric Materials and Devices 3
- Quantum Dots Synthesis And Properties 1
-
- Perovskite Materials and Applications 9
- Co-authors
- Menno Bokdam (9 shared papers)Georg Kresse (5 shared papers)Ryosuke Jinnouchi (2 shared papers)Ferenc Karsai (1 shared paper)D.D. Sarma (3 shared papers)Abhinav Kumar (2 shared papers)Cesare Franchini (2 shared papers)Tobias Schäfer (1 shared paper)
- Journals
- Physical review. B. (3 papers)Physical Review Letters (2 papers)The Journal of Physical Chemistry C (2 papers)The Journal of Physical Chemistry Letters (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- AustriaNetherlandsIndia
In The Last Decade
Jonathan Lahnsteiner
10 papers receiving 828 citations
Jonathan Lahnsteiner's Hit Papers
Peers
Comparison fields: 5 of 55
- Materials Chemistry 685
- Electrical and Electronic Engineering 453
- Catalysis 30
- Atomic and Molecular Physics, and Optics 132
- Electronic, Optical and Magnetic Materials 72
Countries citing papers authored by Jonathan Lahnsteiner
This map shows the geographic impact of Jonathan Lahnsteiner'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 Jonathan Lahnsteiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lahnsteiner more than expected).
Fields of papers citing papers by Jonathan Lahnsteiner
This network shows the impact of papers produced by Jonathan Lahnsteiner. 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 Jonathan Lahnsteiner. The network helps show where Jonathan Lahnsteiner may publish in the future.
Co-authors
The 20 scholars most cited alongside Jonathan Lahnsteiner, 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 | Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference Hit paper breakdown → | 2019 | 478 |
| 2 | 2017 | 131 | |
| 3 | 2017 | 64 | |
| 4 | 2016 | 63 | |
| 5 | 2022 | 33 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 2 |
About Jonathan Lahnsteiner
Jonathan Lahnsteiner is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Computational Theory and Mathematics, having authored 10 papers that have together received 837 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (9 papers), Machine Learning in Materials Science (5 papers), Solid-state spectroscopy and crystallography (4 papers), Advanced Thermoelectric Materials and Devices (3 papers), Quantum Dots Synthesis And Properties (1 paper), Computational Drug Discovery Methods (1 paper), Optical properties and cooling technologies in crystalline materials (1 paper) and Advanced Condensed Matter Physics (1 paper). The work is most often cited by research in Materials Chemistry (685 citations), Electrical and Electronic Engineering (453 citations), Catalysis (30 citations), Atomic and Molecular Physics, and Optics (132 citations) and Electronic, Optical and Magnetic Materials (72 citations). Jonathan Lahnsteiner has collaborated with scholars based in Austria, Netherlands and India. Frequent co-authors include Menno Bokdam, Georg Kresse, Ryosuke Jinnouchi, Ferenc Karsai, D.D. Sarma, Abhinav Kumar, Cesare Franchini, Tobias Schäfer, Pratibha Mahale and Biswajit Bhattacharyya. Their work appears in journals such as Physical review. B., Physical Review Letters, The Journal of Physical Chemistry C, The Journal of Physical Chemistry Letters and The Journal of Chemical Physics.
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.