Sofiène Jerbi
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Materials Chemistry
- Co-authors
- Vedran DunjkoAndrea SkolikHans J. BriegelHendrik Poulsen NautrupJonas M. KüblerThomas BäckTony MetgerRenato Renner
- Topics
- Quantum Computing Algorithms and Architecture (9 papers)Quantum Information and Cryptography (9 papers)Neural Networks and Reservoir Computing (3 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
Sofiène Jerbi
10 papers receiving 278 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 255
- Atomic and Molecular Physics, and Optics 71
- Electrical and Electronic Engineering 35
- Computational Theory and Mathematics 34
- Materials Chemistry 13
Countries citing papers authored by Sofiène Jerbi
This map shows the geographic impact of Sofiène Jerbi'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 Sofiène Jerbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofiène Jerbi more than expected).
Fields of papers citing papers by Sofiène Jerbi
This network shows the impact of papers produced by Sofiène Jerbi. 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 Sofiène Jerbi. The network helps show where Sofiène Jerbi may publish in the future.
Co-authorship network of co-authors of Sofiène Jerbi
This figure shows the co-authorship network connecting the top 25 collaborators of Sofiène Jerbi. A scholar is included among the top collaborators of Sofiène Jerbi 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 Sofiène Jerbi. Sofiène Jerbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 33 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | Quantum machine learning beyond kernel methodsbreakdown → | 111 |
| 8 | 10 | |
| 9 | 108 | |
| 10 | 7 | |
| 11 | 2 |
About Sofiène Jerbi
Sofiène Jerbi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Management Science and Operations Research, having authored 11 papers that have together received 289 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (9 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Atomic and Molecular Physics, and Optics (71 citations) and Computational Theory and Mathematics (34 citations). Sofiène Jerbi has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Vedran Dunjko, Andrea Skolik, Hans J. Briegel, Hendrik Poulsen Nautrup, Jonas M. Kübler, Thomas Bäck, Tony Metger, Renato Renner, Elies Gil-Fuster and Johannes Jakob Meyer. Their work appears in journals such as Nature Communications, Nature Physics and Physical review. A.
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.