Péter Wittek
Impact in
- Artificial Intelligence top 0.2%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
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- Quantum Mechanics and Applications
- Quantum many-body systems
Papers in
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- Quantum Computing Algorithms and Architecture 24
- Quantum Information and Cryptography 6
- Topic Modeling 5
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- Parallel Computing and Optimization Techniques 7
- Co-authors
- Seth Lloyd (1 shared paper)Nathan Wiebe (1 shared paper)Patrick Rebentrost (1 shared paper)Nicola Pancotti (1 shared paper)Jacob Biamonte (1 shared paper)Antonio Acín (3 shared papers)Patrick Huembeli (3 shared papers)Alexandre Dauphin (2 shared papers)
In The Last Decade
Péter Wittek
76 papers receiving 4.6k citations
Péter Wittek's Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 3.7k
- Atomic and Molecular Physics, and Optics 552
- Health Informatics 17
- Computational Mathematics 4
- Statistical and Nonlinear Physics 69
Countries citing papers authored by Péter Wittek
This map shows the geographic impact of Péter Wittek'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 Péter Wittek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Wittek more than expected).
Fields of papers citing papers by Péter Wittek
This network shows the impact of papers produced by Péter Wittek. 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 Péter Wittek. The network helps show where Péter Wittek may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Wittek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum machine learning Hit paper breakdown → | 2017 | 3211 |
| 2 | 2018 | 116 | |
| 3 | 2017 | 107 | |
| 4 | 2017 | 101 | |
| 5 | 2016 | 99 | |
| 6 | 2018 | 96 | |
| 7 | 2014 | 81 | |
| 8 | 2014 | 79 | |
| 9 | 2017 | 77 | |
| 10 | 2017 | 67 | |
| 11 | 2015 | 60 | |
| 12 | 2020 | 60 | |
| 13 | 2020 | 56 | |
| 14 | 2016 | 47 | |
| 15 | 2012 | 37 | |
| 16 | 2019 | 35 | |
| 17 | 2016 | 33 | |
| 18 | 2017 | 31 | |
| 19 | 2017 | 29 | |
| 20 | 2017 | 26 |
About Péter Wittek
Péter Wittek is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems, Literature and Literary Theory and Language and Linguistics, having authored 79 papers that have together received 4.8k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (24 papers), Parallel Computing and Optimization Techniques (7 papers), Digital Humanities and Scholarship (6 papers), linguistics and terminology studies (6 papers), Quantum Information and Cryptography (6 papers), Topic Modeling (5 papers), Cloud Computing and Resource Management (5 papers) and Information Retrieval and Search Behavior (5 papers). The work is most often cited by research in Artificial Intelligence (3.7k citations), Atomic and Molecular Physics, and Optics (552 citations), Health Informatics (17 citations), Computational Mathematics (4 citations) and Statistical and Nonlinear Physics (69 citations). Péter Wittek has collaborated with scholars based in Sweden, Spain and Canada. Frequent co-authors include Seth Lloyd, Nathan Wiebe, Patrick Rebentrost, Nicola Pancotti, Jacob Biamonte, Antonio Acín, Patrick Huembeli, Alexandre Dauphin, Mark Fingerhuth and Tomáš Babej. Their work appears in journals such as Physical Review A, Physical Review Letters, Computer Physics Communications, Physical review. B. and PLoS ONE.
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.