Markus Oppliger
Impact in
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- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Quantum many-body systems
- Mechanical and Optical Resonators
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Papers in
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- Quantum Information and Cryptography 4
- Quantum Computing Algorithms and Architecture 3
- Neural Networks and Reservoir Computing 1
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- Quantum and electron transport phenomena 1
- Mechanical and Optical Resonators 1
- Quantum Mechanics and Applications 1
- Co-authors
- Andreas Wallraff (4 shared papers)Yves Salathé (2 shared papers)Philipp Kurpiers (2 shared papers)Mintu Mondal (3 shared papers)Arkady Fedorov (2 shared papers)C. B. Lang (1 shared paper)Christopher Eichler (1 shared paper)Gabriel Puebla‐Hellmann (1 shared paper)
- Journals
- Physical Review X (1 paper)Nature (1 paper)Physical Review Applied (1 paper)Nature Communications (1 paper)
- Partner nations
- SwitzerlandAustraliaNetherlands
In The Last Decade
Markus Oppliger
4 papers receiving 437 citations
Peers
Comparison fields: 5 of 28
- Atomic and Molecular Physics, and Optics 391
- Artificial Intelligence 374
- Acoustics and Ultrasonics 3
- Condensed Matter Physics 29
- Statistical and Nonlinear Physics 16
Countries citing papers authored by Markus Oppliger
This map shows the geographic impact of Markus Oppliger'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 Markus Oppliger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Oppliger more than expected).
Fields of papers citing papers by Markus Oppliger
This network shows the impact of papers produced by Markus Oppliger. 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 Markus Oppliger. The network helps show where Markus Oppliger may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Oppliger, 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 | 194 | |
| 2 | 2015 | 167 | |
| 3 | 2016 | 52 | |
| 4 | 2016 | 37 |
About Markus Oppliger
Markus Oppliger is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 450 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Photonic and Optical Devices (1 paper), Quantum and electron transport phenomena (1 paper), Neural Networks and Reservoir Computing (1 paper), Mechanical and Optical Resonators (1 paper) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (391 citations), Artificial Intelligence (374 citations), Acoustics and Ultrasonics (3 citations), Condensed Matter Physics (29 citations) and Statistical and Nonlinear Physics (16 citations). Markus Oppliger has collaborated with scholars based in Switzerland, Australia and Netherlands. Frequent co-authors include Andreas Wallraff, Yves Salathé, Philipp Kurpiers, Mintu Mondal, Arkady Fedorov, C. B. Lang, Christopher Eichler, Gabriel Puebla‐Hellmann, Matthias Baur and L. Steffen. Their work appears in journals such as Physical Review X, Nature, Physical Review Applied and Nature Communications.
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.