Leonard Wossnig
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture 12
- Quantum Information and Cryptography 10
- Neural Networks and Reservoir Computing 3
- Machine Learning and Algorithms 2
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- Quantum and electron transport phenomena 2
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- vaccines and immunoinformatics approaches 1
- Advanced Biosensing Techniques and Applications 1
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- Parallel Computing and Optimization Techniques 1
- Co-authors
- Edward GrantHongxiang ChenSimone SeveriniJules TillyShuxiang CaoKanav SetiaYing LiIvan Rungger
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Leonard Wossnig
15 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 1.0k
- Computational Theory and Mathematics 245
- Atomic and Molecular Physics, and Optics 459
- Computational Mathematics 3
- Acoustics and Ultrasonics 4
Countries citing papers authored by Leonard Wossnig
This map shows the geographic impact of Leonard Wossnig'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 Leonard Wossnig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Wossnig more than expected).
Fields of papers citing papers by Leonard Wossnig
This network shows the impact of papers produced by Leonard Wossnig. 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 Leonard Wossnig. The network helps show where Leonard Wossnig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leonard Wossnig, 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 | 2024 | 9 | |
| 2 | The Variational Quantum Eigensolver: A review of methods and best practicesbreakdown → | 2022 | 552 |
| 3 | 2021 | 1 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 52 | |
| 10 | Quantum machine learning: Challenges and Opportunities | 2019 | 1 |
| 11 | 2019 | 50 | |
| 12 | 2019 | 1 | |
| 13 | 2018 | 143 | |
| 14 | 2018 | 279 | |
| 15 | 2016 | 1 |
About Leonard Wossnig
Leonard Wossnig is a scholar working on Artificial Intelligence, Hardware and Architecture and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (10 papers), Neural Networks and Reservoir Computing (3 papers), Machine Learning and Algorithms (2 papers), Quantum and electron transport phenomena (2 papers), vaccines and immunoinformatics approaches (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computational Theory and Mathematics (245 citations) and Atomic and Molecular Physics, and Optics (459 citations). Leonard Wossnig has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Edward Grant, Hongxiang Chen, Simone Severini, Jules Tilly, Shuxiang Cao, Kanav Setia, Ying Li, Ivan Rungger, George H. Booth and Jonathan Tennyson. Their work appears in journals such as Physical Review Letters, Physics Reports and Drug Discovery Today.
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.