D. Schlingemann
Impact in
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Coding theory and cryptography
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- Quantum Mechanics and Applications
- Quantum many-body systems
- Quantum and electron transport phenomena
- Quantum optics and atomic interactions
Papers in
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- Quantum Information and Cryptography 11
- Quantum Computing Algorithms and Architecture 7
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- Quantum Mechanics and Applications 5
- Quantum many-body systems 2
- Cold Atom Physics and Bose-Einstein Condensates 2
- Co-authors
- Reinhard F. Werner (8 shared papers)Michael Keyl (6 shared papers)Dennis Kretschmann (1 shared paper)Tilo Eggeling (1 shared paper)Taku Matsui (2 shared papers)Marco Cozzini (1 shared paper)Lorenzo Campos Venuti (1 shared paper)
In The Last Decade
D. Schlingemann
14 papers receiving 576 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 532
- Atomic and Molecular Physics, and Optics 430
- Computational Theory and Mathematics 110
- Statistical and Nonlinear Physics 36
- Acoustics and Ultrasonics 2
Countries citing papers authored by D. Schlingemann
This map shows the geographic impact of D. Schlingemann'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. Schlingemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Schlingemann more than expected).
Fields of papers citing papers by D. Schlingemann
This network shows the impact of papers produced by D. Schlingemann. 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. Schlingemann. The network helps show where D. Schlingemann may publish in the future.
Co-authors
The 7 scholars most cited alongside D. Schlingemann, 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 | 2001 | 264 | |
| 2 | 2002 | 79 | |
| 3 | 2008 | 59 | |
| 4 | 2002 | 52 | |
| 5 | 2008 | 28 | |
| 6 | 2006 | 23 | |
| 7 | 2003 | 22 | |
| 8 | 2003 | 20 | |
| 9 | 2004 | 19 | |
| 10 | 2003 | 11 | |
| 11 | 2010 | 8 | |
| 12 | 2008 | 4 | |
| 13 | 2008 | 3 | |
| 14 | 2004 | 2 |
About D. Schlingemann
D. Schlingemann is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Mathematical Physics, having authored 14 papers that have together received 594 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (7 papers), Quantum Mechanics and Applications (5 papers), Quantum-Dot Cellular Automata (4 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Quantum many-body systems (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers) and Advanced Operator Algebra Research (1 paper). The work is most often cited by research in Artificial Intelligence (532 citations), Atomic and Molecular Physics, and Optics (430 citations), Computational Theory and Mathematics (110 citations), Statistical and Nonlinear Physics (36 citations) and Acoustics and Ultrasonics (2 citations). D. Schlingemann has collaborated with scholars based in Germany, Italy and Japan. Frequent co-authors include Reinhard F. Werner, Michael Keyl, Dennis Kretschmann, Tilo Eggeling, Taku Matsui, Marco Cozzini and Lorenzo Campos Venuti. Their work appears in journals such as Quantum Information and Computation, Reviews in Mathematical Physics, Physical Review A, IEEE Transactions on Information Theory and Europhysics Letters (EPL).
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.