Leonard Wossnig
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Edward GrantHongxiang ChenSimone SeveriniJules TillyShuxiang CaoKanav SetiaYing LiIvan Rungger
- Topics
- Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (10 papers)Neural Networks and Reservoir Computing (3 papers)
- 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
- Atomic and Molecular Physics, and Optics 459
- Computational Theory and Mathematics 245
- Electrical and Electronic Engineering 93
- Materials Chemistry 57
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 of co-authors of Leonard Wossnig
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Wossnig. A scholar is included among the top collaborators of Leonard Wossnig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonard Wossnig. Leonard Wossnig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | The Variational Quantum Eigensolver: A review of methods and best practicesbreakdown → | 552 |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | 5 | |
| 9 | 52 | |
| 10 | Quantum machine learning: Challenges and Opportunities | 1 |
| 11 | 50 | |
| 12 | 1 | |
| 13 | 143 | |
| 14 | 279 | |
| 15 | 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) and Neural Networks and Reservoir Computing (3 papers). 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.