Hein Röhrig
Impact in
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- Complexity and Algorithms in Graphs
- Computability, Logic, AI Algorithms
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Machine Learning and Algorithms
- Cryptography and Data Security
Papers in
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- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 5
- Machine Learning and Algorithms 2
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- Complexity and Algorithms in Graphs 3
- Quantum-Dot Cellular Automata 1
- Co-authors
- Harry Buhrman (7 shared papers)Ilan Newman (4 shared papers)Arjen P. de Vries (1 shared paper)Lance Fortnow (2 shared papers)Ronald de Wolf (1 shared paper)Peter Høyer (2 shared papers)Serge Massar (2 shared papers)Andris Ambainis (1 shared paper)
- Journals
- Physical Review Letters (1 paper)SIAM Journal on Computing (1 paper)Theory of Computing Systems (1 paper)Physical Review A (1 paper)UvA-DARE (University of Amsterdam) (2 papers)
- Partner nations
- NetherlandsCanadaUnited States
In The Last Decade
Hein Röhrig
8 papers receiving 129 citations
Peers
Comparison fields: 5 of 29
- Computational Theory and Mathematics 57
- Artificial Intelligence 107
- Computer Vision and Pattern Recognition 31
- Atomic and Molecular Physics, and Optics 42
- Biophysics 6
Countries citing papers authored by Hein Röhrig
This map shows the geographic impact of Hein Röhrig'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 Hein Röhrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hein Röhrig more than expected).
Fields of papers citing papers by Hein Röhrig
This network shows the impact of papers produced by Hein Röhrig. 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 Hein Röhrig. The network helps show where Hein Röhrig may publish in the future.
Co-authors
The 9 scholars most cited alongside Hein Röhrig, 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 | 2003 | 31 | |
| 2 | 2007 | 28 | |
| 3 | 2008 | 26 | |
| 4 | 2003 | 24 | |
| 5 | 2004 | 23 | |
| 6 | Robust Quantum Algorithms and Polynomials | 2005 | 9 |
| 7 | 2003 | 5 | |
| 8 | 2006 | 3 |
About Hein Röhrig
Hein Röhrig is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Signal Processing, having authored 8 papers that have together received 149 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (5 papers), Complexity and Algorithms in Graphs (3 papers), Quantum Mechanics and Applications (3 papers), Machine Learning and Algorithms (2 papers), Quantum-Dot Cellular Automata (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (57 citations), Artificial Intelligence (107 citations), Computer Vision and Pattern Recognition (31 citations), Atomic and Molecular Physics, and Optics (42 citations) and Biophysics (6 citations). Hein Röhrig has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Harry Buhrman, Ilan Newman, Arjen P. de Vries, Lance Fortnow, Ronald de Wolf, Peter Høyer, Serge Massar, Andris Ambainis and Yevgeniy Dodis. Their work appears in journals such as Physical Review Letters, SIAM Journal on Computing, Theory of Computing Systems, Physical Review A and UvA-DARE (University of Amsterdam).
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.