Fabian Laudenbach
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Biomedical Engineering
- Co-authors
- Adriana E. LitaThomas GerritsMatthew J. CollinsZ. VernonLars S. MadsenNicolás QuesadaVarun VaidyaLeonhard Neuhaus
- Topics
- Quantum Information and Cryptography (13 papers)Optical Network Technologies (7 papers)Photonic and Optical Devices (5 papers)
In The Last Decade
Fabian Laudenbach
17 papers receiving 692 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 545
- Atomic and Molecular Physics, and Optics 389
- Electrical and Electronic Engineering 252
- Computational Theory and Mathematics 46
- Biomedical Engineering 23
Countries citing papers authored by Fabian Laudenbach
This map shows the geographic impact of Fabian Laudenbach'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 Fabian Laudenbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Laudenbach more than expected).
Fields of papers citing papers by Fabian Laudenbach
This network shows the impact of papers produced by Fabian Laudenbach. 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 Fabian Laudenbach. The network helps show where Fabian Laudenbach may publish in the future.
Co-authorship network of co-authors of Fabian Laudenbach
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Laudenbach. A scholar is included among the top collaborators of Fabian Laudenbach 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 Fabian Laudenbach. Fabian Laudenbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Quantum computational advantage with a programmable photonic processorbreakdown → | 603 |
| 3 | 30 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 20 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 13 |
About Fabian Laudenbach
Fabian Laudenbach is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 18 papers that have together received 732 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Optical Network Technologies (7 papers) and Photonic and Optical Devices (5 papers). The work is most often cited by research in Artificial Intelligence (545 citations), Atomic and Molecular Physics, and Optics (389 citations) and Acoustics and Ultrasonics (8 citations). Fabian Laudenbach has collaborated with scholars based in Austria, Germany and Greece. Frequent co-authors include Adriana E. Lita, Thomas Gerrits, Matthew J. Collins, Z. Vernon, Lars S. Madsen, Nicolás Quesada, Varun Vaidya, Leonhard Neuhaus, Ish Dhand and Jonathan Lavoie. Their work appears in journals such as Nature, Scientific Reports and Optics Express.
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.