Daniel Ebler
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Quantum many-body systems
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 9
- Stochastic Gradient Optimization Techniques 2
- Neural Networks and Applications 2
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- Quantum Mechanics and Applications 5
- Quantum and electron transport phenomena 2
- Quantum many-body systems 2
- Co-authors
- Giulio Chiribella (3 shared papers)Marco Túlio Quintino (2 shared papers)Oscar Dahlsten (5 shared papers)Vlatko Vedral (2 shared papers)Yuxiang Yang (1 shared paper)Xiangjing Liu (4 shared papers)Christian Schilling (1 shared paper)Jie Sun (1 shared paper)
- Journals
- Physical Review Letters (4 papers)New Journal of Physics (2 papers)Physical review. E (2 papers)Physical review. A (2 papers)IEEE Transactions on Information Theory (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Daniel Ebler
13 papers receiving 282 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 255
- Atomic and Molecular Physics, and Optics 226
- Statistical and Nonlinear Physics 51
- Acoustics and Ultrasonics 1
- Computational Theory and Mathematics 13
Countries citing papers authored by Daniel Ebler
This map shows the geographic impact of Daniel Ebler'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 Ebler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ebler more than expected).
Fields of papers citing papers by Daniel Ebler
This network shows the impact of papers produced by Daniel Ebler. 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 Ebler. The network helps show where Daniel Ebler may publish in the future.
Co-authors
The 15 scholars most cited alongside Daniel Ebler, 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 | 2018 | 153 | |
| 2 | 2016 | 38 | |
| 3 | 2016 | 19 | |
| 4 | 2022 | 17 | |
| 5 | 2016 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 9 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 |
About Daniel Ebler
Daniel Ebler is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Condensed Matter Physics and Statistics and Probability, having authored 13 papers that have together received 289 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Quantum and electron transport phenomena (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Neural Networks and Applications (2 papers) and Quantum many-body systems (2 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Atomic and Molecular Physics, and Optics (226 citations), Statistical and Nonlinear Physics (51 citations), Acoustics and Ultrasonics (1 citation) and Computational Theory and Mathematics (13 citations). Daniel Ebler has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Giulio Chiribella, Marco Túlio Quintino, Oscar Dahlsten, Vlatko Vedral, Yuxiang Yang, Xiangjing Liu, Christian Schilling, Jie Sun, K. Y. Michael Wong and Hongfeng Liu. Their work appears in journals such as Physical Review Letters, New Journal of Physics, Physical review. E, Physical review. A and IEEE Transactions on Information Theory.
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.