Raffaele Santagati

45 papers receiving 2.8k citations

Hit Papers

Scale-free correlations in starling flocks2010202620152020201020212018200400600

Peers

Raffaele Santagati
Comparison fields: 5 of 116
  • Artificial Intelligence 1.6k
  • Electrical and Electronic Engineering 1.1k
  • Atomic and Molecular Physics, and Optics 961
  • Condensed Matter Physics 271
  • Statistical and Nonlinear Physics 271
Replace Wolfgang Alt with:
Wolfgang Alt Germany
D. S. Citrin United States
Ido Kanter Israel
C. M. Wilson United States
Dana Z. Anderson United States
Bruno Piccirillo Italy
Rémi Monasson France
Kristel Michielsen Netherlands
Hanoch Gutfreund Israel
Anirvan M. Sengupta India
Raffaele Santagati relative to Wolfgang Alt Germany Wolfgang Alt's profile →
Citations per field
00.5×3.5×
Wolfgang Alt · 1×
Citations per year

Countries citing papers authored by Raffaele Santagati

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Santagati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Santagati

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Santagati. A scholar is included among the top collaborators of Raffaele Santagati 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 Raffaele Santagati. Raffaele Santagati 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
#WorkIndexed citations
1 2
2 8
3 47
4 10
5 3
6 11
7 9
8 38
9
An optical neural chip for implementing complex-valued neural networkbreakdown →
436
10 3
11 0
12 135
13 124
14 112
15 9
16
Quantum simulation of Hamiltonian spectra on a silicon chip
4
17 173
18
Scale-free correlations in starling flocksbreakdown →
715
19 68
20 41

About Raffaele Santagati

Raffaele Santagati is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biophysics, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (30 papers), Quantum Computing Algorithms and Architecture (22 papers) and Neural Networks and Reservoir Computing (21 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Atomic and Molecular Physics, and Optics (961 citations) and Condensed Matter Physics (271 citations). Raffaele Santagati has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark G. Thompson, Andrea Cavagna, Fabio Stefanini, Giorgio Parisi, Irene Giardina, Massimiliano Viale, Stefano Paesani, Jianwei Wang, Anthony Laing and Jeremy L. O’Brien. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

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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