Simone Severini

4.9k total citations
103 papers, 2.7k citations indexed

About

Simone Severini is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Simone Severini has authored 103 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 39 papers in Atomic and Molecular Physics, and Optics and 30 papers in Computational Theory and Mathematics. Recurrent topics in Simone Severini's work include Quantum Computing Algorithms and Architecture (46 papers), Quantum Information and Cryptography (43 papers) and Quantum Mechanics and Applications (29 papers). Simone Severini is often cited by papers focused on Quantum Computing Algorithms and Architecture (46 papers), Quantum Information and Cryptography (43 papers) and Quantum Mechanics and Applications (29 papers). Simone Severini collaborates with scholars based in United Kingdom, United States and Canada. Simone Severini's co-authors include Andrew E. Teschendorff, Andreas Winter, Leonard Wossnig, Ginestra Bianconi, Adán Cabello, Andrea Rocchetto, Chris Godsil, Fotini Markopoulou, Mark Herbster and Massimiliano Pontil and has published in prestigious journals such as Physical Review Letters, Nature Communications and IEEE Transactions on Automatic Control.

In The Last Decade

Simone Severini

99 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simone Severini United Kingdom 32 1.4k 969 525 503 420 103 2.7k
Enzo Marinari Italy 41 382 0.3× 968 1.0× 1.2k 2.2× 340 0.7× 1.5k 3.6× 189 6.8k
Mauro Maggioni United States 27 901 0.6× 200 0.2× 766 1.5× 465 0.9× 530 1.3× 87 3.5k
Heiko Rieger Germany 42 452 0.3× 2.0k 2.0× 797 1.5× 140 0.3× 1.2k 3.0× 203 5.5k
Xiaoping Yang China 29 397 0.3× 474 0.5× 112 0.2× 369 0.7× 450 1.1× 262 3.6k
Anton Bovier Germany 28 180 0.1× 349 0.4× 256 0.5× 225 0.4× 725 1.7× 105 2.6k
Keiji Matsumoto Japan 26 1.2k 0.8× 1.0k 1.1× 84 0.2× 290 0.6× 146 0.3× 221 2.6k
Giuseppe Carleo Switzerland 30 2.1k 1.5× 3.1k 3.2× 187 0.4× 284 0.6× 898 2.1× 68 5.4k
Masanori Ohya Japan 22 1.0k 0.7× 1.3k 1.3× 155 0.3× 176 0.3× 676 1.6× 119 2.0k
Gunter M. Schütz Germany 40 194 0.1× 1.1k 1.1× 1.4k 2.6× 105 0.2× 1.4k 3.3× 176 5.4k
Alexander K. Hartmann Germany 33 373 0.3× 428 0.4× 372 0.7× 392 0.8× 1.3k 3.1× 204 3.4k

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-authorship network of co-authors of Simone Severini

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Severini. A scholar is included among the top collaborators of Simone Severini 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 Simone Severini. Simone Severini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lupini, Martino, Laura Mančinska, Vern I. Paulsen, et al.. (2020). Perfect Strategies for Non-Local Games. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 10 indexed citations
2.
Rocchetto, Andrea, Scott Aaronson, Simone Severini, et al.. (2019). Experimental learning of quantum states. IRIS Research product catalog (Sapienza University of Rome). 44 indexed citations
3.
Wossnig, Leonard & Simone Severini. (2019). Quantum machine learning: Challenges and Opportunities. Bulletin of the American Physical Society. 2019. 1 indexed citations
4.
Dawar, Anuj, et al.. (2019). Descriptive complexity of graph spectra. Annals of Pure and Applied Logic. 170(9). 993–1007. 2 indexed citations
5.
Temko, Daniel, Ian Tomlinson, Simone Severini, Benjamin Schuster‐Böckler, & Trevor A. Graham. (2018). The effects of mutational processes and selection on driver mutations across cancer types. Nature Communications. 9(1). 1857–1857. 74 indexed citations
6.
Banerji, Christopher R. S., Maryna Panamarova, Husam Hebaishi, et al.. (2017). PAX7 target genes are globally repressed in facioscapulohumeral muscular dystrophy skeletal muscle. Nature Communications. 8(1). 2152–2152. 77 indexed citations
7.
Banerji, Christopher R. S., Simone Severini, Carlos Caldas, & Andrew E. Teschendorff. (2015). Intra-Tumour Signalling Entropy Determines Clinical Outcome in Breast and Lung Cancer. PLoS Computational Biology. 11(3). e1004115–e1004115. 38 indexed citations
8.
Cabello, Adán, Simone Severini, & Andreas Winter. (2014). Graph-Theoretic Approach to Quantum Correlations. Physical Review Letters. 112(4). 40401–40401. 182 indexed citations
9.
Severini, Simone, et al.. (2013). RATIONAL ORTHOGONAL VERSUS REAL ORTHOGONAL ∗.
10.
Chen, Zhihua, Zhihao Ma, Otfried Gühne, & Simone Severini. (2012). Estimating Entanglement Monotones with a Generalization of the Wootters Formula. Physical Review Letters. 109(20). 200503–200503. 37 indexed citations
11.
Godsil, Chris, Stephen Kirkland, Simone Severini, & Jamie Smith. (2012). Number-Theoretic Nature of Communication in Quantum Spin Systems. Physical Review Letters. 109(5). 50502–50502. 66 indexed citations
12.
Li, Xueliang, et al.. (2010). A note on the von Neumann entropy of random graphs. Linear Algebra and its Applications. 433(11-12). 1722–1725. 11 indexed citations
13.
Teschendorff, Andrew E. & Simone Severini. (2010). Increased entropy of signal transduction in the cancer metastasis phenotype. BMC Systems Biology. 4(1). 104–104. 77 indexed citations
14.
Severini, Simone. (2009). Graphs of unitary matrices. Ars Combinatoria. 90. 2 indexed citations
15.
Hamma, Alioscia, Fotini Markopoulou, Isabeau Prémont-Schwarz, & Simone Severini. (2009). Lieb-Robinson Bounds and the Speed of Light from Topological Order. Physical Review Letters. 102(1). 17204–17204. 30 indexed citations
16.
Mansour, Toufik & Simone Severini. (2007). Enumeration of (k,2)-noncrossing partitions. Discrete Mathematics. 308(20). 4570–4577. 10 indexed citations
17.
Severini, Simone. (2006). On the structure of the adjacency matrix of the line digraph of a regular digraph. Discrete Applied Mathematics. 154(12). 1763–1765. 4 indexed citations
18.
Gutin, Gregory, Arash Rafiey, Simone Severini, & Anders Yeo. (2006). Hamilton cycles in digraphs of unitary matrices. Discrete Mathematics. 306(24). 3315–3320. 2 indexed citations
19.
Lundgren, J. Richard, et al.. (2004). Quadrangularity and Strong Quadrangularity in Tournaments. Australas. J Comb.. 34. 247–260. 4 indexed citations
20.
Severini, Simone. (2002). On the pattern of a unitary matrix. arXiv (Cornell University). 2 indexed citations

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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