Simone Severini

5.1k citations
112 papers · 2.9k · 1 hit paper · h-index 35

Impact in

Papers in

Simone Severini

107 papers receiving 2.8k citations

Simone Severini's Hit Papers

Quantum machine learning: a classical perspective 2018 · 317 citations
3170+2+5Years since publication100200300

Peers

Simone Severini
Comparison fields: 5 of 138
  • Artificial Intelligence 1.5k
  • Statistical and Nonlinear Physics 476
  • Computational Theory and Mathematics 572
  • Atomic and Molecular Physics, and Optics 1.0k
  • Geometry and Topology 198
Replace Enzo Marinari with:
Enzo Marinari Italy
Boaz Nadler Israel
Anton Bovier Germany
Masanori Ohya Japan
Alexander K. Hartmann Germany
Robin Blume-Kohout United States
Gunter M. Schütz Germany
Scott Aaronson United States
Mauro Maggioni United States
Wolfgang Kinzel Germany
Simone Severini relative to Enzo Marinari Italy Enzo Marinari's profile →
Citations per field
00.5×3.5×
Enzo Marinari · 1×
Citations per year

Countries citing papers authored by Simone Severini

Since Specialization
Citations

This map shows the geographic impact of Simone Severini'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 Simone Severini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Severini more than expected).

Fields of papers citing papers by Simone Severini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simone Severini. 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 Simone Severini. The network helps show where Simone Severini may publish in the future.

Co-authors

The 25 scholars most cited alongside Simone Severini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Severini Line = papers co-authored together Simone Severini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum machine learning: a classical perspective
Hit paper breakdown →
2018317
2 2014198
3 2012129
4 2008107
5 201195
6 201779
7 201179
8 201079
9 201875
10 201174
11 200772
12 201268
13 200957
14 202057
15 200857
16 201854
17 201852
18 201951
19 201150
20 201447

About Simone Severini

Simone Severini is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Geometry and Topology and Statistical and Nonlinear Physics, having authored 112 papers that have together received 2.9k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (51 papers), Quantum Information and Cryptography (46 papers), Quantum Mechanics and Applications (29 papers), Graph theory and applications (18 papers), graph theory and CDMA systems (10 papers), Complex Network Analysis Techniques (8 papers), Computability, Logic, AI Algorithms (7 papers) and Quantum many-body systems (6 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Statistical and Nonlinear Physics (476 citations), Computational Theory and Mathematics (572 citations), Atomic and Molecular Physics, and Optics (1.0k citations) and Geometry and Topology (198 citations). Simone Severini has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Andrew E. Teschendorff, Andreas Winter, Leonard Wossnig, Ginestra Bianconi, Adán Cabello, Andrea Rocchetto, Chris Godsil, Filippo Passerini, Fotini Markopoulou and Mark Herbster. Their work appears in journals such as Physical Review A, Journal of Physics A Mathematical and Theoretical, Physical Review Letters, Physical review. A and Physics Letters 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.

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