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 and electron transport phenomena
- Quantum many-body systems
Papers in
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- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 10
- Neural Networks and Applications 2
- Stochastic Gradient Optimization Techniques 2
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- Quantum Mechanics and Applications 6
- Quantum and electron transport phenomena 2
- Quantum many-body systems 2
- Co-authors
- Giulio Chiribella (4 shared papers)Sina Salek (2 shared papers)Marco Túlio Quintino (2 shared papers)Yuxiang Yang (1 shared paper)Oscar Dahlsten (5 shared papers)Vlatko Vedral (2 shared papers)Xiangjing Liu (4 shared papers)Christian Schilling (1 shared paper)
- Journals
- Physical Review Letters (4 papers)Physical review. A (2 papers)Physical review. E (2 papers)New Journal of Physics (2 papers)IEEE Transactions on Information Theory (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Daniel Ebler
14 papers receiving 298 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 265
- Atomic and Molecular Physics, and Optics 235
- Statistical and Nonlinear Physics 52
- Computational Mathematics 1
- Acoustics and Ultrasonics 1
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 17 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 | 159 | |
| 2 | 2016 | 38 | |
| 3 | 2016 | 20 | |
| 4 | 2022 | 17 | |
| 5 | 2016 | 17 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | Resource theories of communication with quantum superpositions of processes. | 2019 | 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 14 papers that have together received 301 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Quantum and electron transport phenomena (2 papers), Neural Networks and Applications (2 papers), Quantum many-body systems (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (265 citations), Atomic and Molecular Physics, and Optics (235 citations), Statistical and Nonlinear Physics (52 citations), Computational Mathematics (1 citation) and Acoustics and Ultrasonics (1 citation). Daniel Ebler has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Giulio Chiribella, Sina Salek, Marco Túlio Quintino, Yuxiang Yang, Oscar Dahlsten, Vlatko Vedral, Xiangjing Liu, Christian Schilling, Jie Sun and K. Y. Michael Wong. Their work appears in journals such as Physical Review Letters, Physical review. A, Physical review. E, New Journal of Physics 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.