Dries Sels
- Computational Mathematics top 5%
-
- Quantum many-body systems 36
- Quantum and electron transport phenomena 14
- Quantum Mechanics and Applications 8
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- Quantum chaos and dynamical systems 9
- Advanced Thermodynamics and Statistical Mechanics 7
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 9
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 18
- Quantum Computing Algorithms and Architecture 11
- Co-authors
- Anatoli PolkovnikovMohit PandeyPieter W. ClaeysEugene DemlerDavid CampbellMarin BukovPhillip WeinbergJoseph Tindall
- Cited by
- Computational MathematicsAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Journals
- Physical review. A (13 papers)Physical review. B. (9 papers)Physical Review Letters (7 papers)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Dries Sels
57 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computational Mathematics 25
- Atomic and Molecular Physics, and Optics 1.0k
- Statistical and Nonlinear Physics 382
- Condensed Matter Physics 199
- Artificial Intelligence 535
Countries citing papers authored by Dries Sels
This map shows the geographic impact of Dries Sels'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 Dries Sels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dries Sels more than expected).
Fields of papers citing papers by Dries Sels
This network shows the impact of papers produced by Dries Sels. 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 Dries Sels. The network helps show where Dries Sels may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dries Sels, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 49 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 43 | |
| 13 | 2019 | 123 | |
| 14 | 2019 | 55 | |
| 15 | The Geometric Speed Limit of Accessible Quantum State Preparation | 2018 | 2 |
| 16 | Machine Learning Meets Quantum State Preparation. The Phase Diagram of Quantum Control | 2017 | 4 |
| 17 | 2015 | 9 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 8 | |
| 20 | 2012 | 5 |
About Dries Sels
Dries Sels is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computational Mathematics, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum many-body systems (36 papers), Quantum Information and Cryptography (18 papers), Quantum and electron transport phenomena (14 papers), Quantum Computing Algorithms and Architecture (11 papers), Physics of Superconductivity and Magnetism (9 papers), Quantum chaos and dynamical systems (9 papers), Quantum Mechanics and Applications (8 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). The work is most often cited by research in Computational Mathematics (25 citations), Atomic and Molecular Physics, and Optics (1.0k citations) and Statistical and Nonlinear Physics (382 citations). Dries Sels has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Anatoli Polkovnikov, Mohit Pandey, Pieter W. Claeys, Eugene Demler, David Campbell, Marin Bukov, Phillip Weinberg, Joseph Tindall, Matthew Fishman and Chungwei Lin. Their work appears in journals such as Physical review. A, Physical review. B., Physical Review Letters, Physical Review Research and Physica A Statistical Mechanics and its Applications.
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.