Daniel A. Vajner
Impact in
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- Semiconductor Quantum Structures and Devices
- Quantum optics and atomic interactions
- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum optics and atomic interactions 6
- Semiconductor Quantum Structures and Devices 3
- Quantum Mechanics and Applications 2
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- Quantum Information and Cryptography 7
- Quantum Computing Algorithms and Architecture 1
- Co-authors
- Tobias Heindel (9 shared papers)Anna Musiał (4 shared papers)Martin von Helversen (5 shared papers)Kresten Yvind (2 shared papers)Niels Gregersen (2 shared papers)Elizaveta Semenova (2 shared papers)Alexander Huck (2 shared papers)Paweł Holewa (2 shared papers)
In The Last Decade
Daniel A. Vajner
9 papers receiving 242 citations
Daniel A. Vajner's Hit Papers
Peers
Comparison fields: 5 of 22
- Atomic and Molecular Physics, and Optics 171
- Artificial Intelligence 115
- Instrumentation 7
- Electrical and Electronic Engineering 103
- Biophysics 10
Countries citing papers authored by Daniel A. Vajner
This map shows the geographic impact of Daniel A. Vajner'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 Daniel A. Vajner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Vajner more than expected).
Fields of papers citing papers by Daniel A. Vajner
This network shows the impact of papers produced by Daniel A. Vajner. 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 Daniel A. Vajner. The network helps show where Daniel A. Vajner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Vajner, 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 | Quantum Communication Using Semiconductor Quantum Dots Hit paper breakdown → | 2022 | 142 |
| 2 | 2024 | 34 | |
| 3 | 2024 | 30 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 5 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 |
About Daniel A. Vajner
Daniel A. Vajner is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Infectious Diseases, having authored 10 papers that have together received 248 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum optics and atomic interactions (6 papers), Photonic and Optical Devices (4 papers), Semiconductor Quantum Structures and Devices (3 papers), Quantum Mechanics and Applications (2 papers), Semiconductor Lasers and Optical Devices (1 paper), Molecular Communication and Nanonetworks (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (171 citations), Artificial Intelligence (115 citations), Instrumentation (7 citations), Electrical and Electronic Engineering (103 citations) and Biophysics (10 citations). Daniel A. Vajner has collaborated with scholars based in Germany, Poland and Austria. Frequent co-authors include Tobias Heindel, Anna Musiał, Martin von Helversen, Kresten Yvind, Niels Gregersen, Elizaveta Semenova, Alexander Huck, Paweł Holewa, M. Syperek and Aurimas Sakanas. Their work appears in journals such as ACS Photonics, Nature Communications, Applied Physics Letters, Review of Scientific Instruments and Nanophotonics.
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.