D. Wecker
Impact in
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum many-body systems
- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
Papers in
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- Quantum Computing Algorithms and Architecture 4
- Quantum Information and Cryptography 2
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- Advanced Chemical Physics Studies 1
- Spectroscopy and Quantum Chemical Studies 1
- Co-authors
- Matthias Troyer (3 shared papers)Zhihui Wang (2 shared papers)Daniel Lidar (2 shared papers)Troels F. Rønnow (2 shared papers)Sergio Boixo (2 shared papers)John M. Martinis (2 shared papers)Sergei V. Isakov (2 shared papers)Joshua Job (1 shared paper)
- Journals
- Quantum Information and Computation (2 papers)Nature Physics (1 paper)Science (1 paper)Berichte der Bunsengesellschaft für physikalische Chemie (1 paper)Zeitschrift für Naturforschung A (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
D. Wecker
7 papers receiving 1.0k citations
D. Wecker's Hit Papers
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 902
- Atomic and Molecular Physics, and Optics 497
- Computational Theory and Mathematics 184
- Condensed Matter Physics 80
- Acoustics and Ultrasonics 4
Countries citing papers authored by D. Wecker
This map shows the geographic impact of D. Wecker'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 D. Wecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Wecker more than expected).
Fields of papers citing papers by D. Wecker
This network shows the impact of papers produced by D. Wecker. 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 D. Wecker. The network helps show where D. Wecker may publish in the future.
Co-authors
The 15 scholars most cited alongside D. Wecker, 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 | Evidence for quantum annealing with more than one hundred qubits Hit paper breakdown → | 2014 | 528 |
| 2 | Defining and detecting quantum speedup Hit paper breakdown → | 2014 | 424 |
| 3 | 2015 | 84 | |
| 4 | 1981 | 21 | |
| 5 | 1984 | 4 | |
| 6 | 2018 | 3 | |
| 7 | 1982 | 3 |
About D. Wecker
D. Wecker is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Biophysics, Electrochemistry and Organic Chemistry, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (2 papers), Advanced Chemical Physics Studies (1 paper), Molecular Spectroscopy and Structure (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Free Radicals and Antioxidants (1 paper), Advanced oxidation water treatment (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Artificial Intelligence (902 citations), Atomic and Molecular Physics, and Optics (497 citations), Computational Theory and Mathematics (184 citations), Condensed Matter Physics (80 citations) and Acoustics and Ultrasonics (4 citations). D. Wecker has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Matthias Troyer, Zhihui Wang, Daniel Lidar, Troels F. Rønnow, Sergio Boixo, John M. Martinis, Sergei V. Isakov, Joshua Job, David Poulin and M. B. Hastings. Their work appears in journals such as Quantum Information and Computation, Nature Physics, Science, Berichte der Bunsengesellschaft für physikalische Chemie and Zeitschrift für Naturforschung A.
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.