Angelo Carollo

2.9k citations
60 papers · 2.1k · h-index 23

Impact in

Papers in

Angelo Carollo

58 papers receiving 2.1k citations

Peers

Angelo Carollo
Comparison fields: 5 of 80
  • Statistical and Nonlinear Physics 643
  • Atomic and Molecular Physics, and Optics 1.2k
  • Artificial Intelligence 748
  • Cognitive Neuroscience 226
  • Modeling and Simulation 53
Replace Vassilios Kovanis with:
Vassilios Kovanis United States
Claudio Guarcello Italy
Г. Филатрелла Italy
J. Łuczka Poland
D. J. Mar United States
Matthias Wolfrum Germany
G. Huyet Ireland
A. A. Dubkov Russia
P. Parmananda India
M. Giudici France
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Citations per field
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Vassilios Kovanis · 1×
Citations per year

Countries citing papers authored by Angelo Carollo

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Carollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Angelo Carollo, 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 Angelo Carollo Line = papers co-authored together Angelo Carollo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003242
2 2005177
3 2021121
4 2015110
5 2020106
6 201990
7 201689
8 201589
9 200488
10 201985
11 201881
12 202081
13 200268
14 202159
15 202045
16 200638
17 200638
18 202135
19 200334
20 200632

About Angelo Carollo

Angelo Carollo is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (24 papers), stochastic dynamics and bifurcation (13 papers), Advanced Memory and Neural Computing (10 papers), Neural dynamics and brain function (10 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Quantum optics and atomic interactions (8 papers), Topological Materials and Phenomena (7 papers) and Nonlinear Photonic Systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (643 citations), Atomic and Molecular Physics, and Optics (1.2k citations), Artificial Intelligence (748 citations), Cognitive Neuroscience (226 citations) and Modeling and Simulation (53 citations). Angelo Carollo has collaborated with scholars based in Italy, Russia and United Kingdom. Frequent co-authors include Bernardo Spagnolo, Davide Valenti, Vlatko Vedral, Marcelo F. Santos, I. Fuentes-Guridi, Jiannis K. Pachos, Claudio Guarcello, Francesco Ciccarello, A. A. Dubkov and Dominique Persano Adorno. Their work appears in journals such as Chaos Solitons & Fractals, Physical Review Letters, Journal of Modern Optics, Physical Review A and Physical Review Research.

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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