Matteo Petrera

481 citations
28 papers · 213 · h-index 10

Impact in

Papers in

Matteo Petrera

26 papers receiving 203 citations

Peers

Matteo Petrera
Comparison fields: 5 of 36
  • Statistical and Nonlinear Physics 164
  • Geometry and Topology 91
  • Algebra and Number Theory 42
  • Numerical Analysis 46
  • Mathematical Physics 30
Replace Johan van de Leur with:
Johan van de Leur Netherlands
A.B. Yanovski South Africa
T. Tamizhmani India
A. V. Odesskiĭ Russia
Oleg I. Morozov Russia
V. V. Zharinov Russia
Cornelia Schiebold Sweden
Vincent Caudrelier United Kingdom
Saburo Kakei Japan
Boris Doubrov Belarus
Matteo Petrera relative to Johan van de Leur Netherlands Johan van de Leur's profile →
Citations per field
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Johan van de Leur · 1×
Citations per year

Countries citing papers authored by Matteo Petrera

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Petrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Matteo Petrera, 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 Matteo Petrera Line = papers co-authored together Matteo Petrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200720
2 200919
3 200417
4 201016
5 200715
6 200914
7 201912
8 201311
9 201310
10 20069
11 20079
12 20198
13 20178
14
SPHERICAL GEOMETRY AND INTEGRABLE SYSTEMS
20166
15 20206
16 20156
17 20235
18 20084
19 20084
20 20073

About Matteo Petrera

Matteo Petrera is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Algebra and Number Theory, Mathematical Physics and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 213 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (22 papers), Nonlinear Photonic Systems (11 papers), Advanced Topics in Algebra (6 papers), Advanced Differential Equations and Dynamical Systems (5 papers), Algebraic structures and combinatorial models (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Quantum chaos and dynamical systems (3 papers) and Quantum Mechanics and Non-Hermitian Physics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (164 citations), Geometry and Topology (91 citations), Algebra and Number Theory (42 citations), Numerical Analysis (46 citations) and Mathematical Physics (30 citations). Matteo Petrera has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Yuri B. Suris, D. Levi, O. Ragnisco, Andrew N. W. Hone, В. Б. Кузнецов, Andreas Pfadler, Rafael Hernández Heredero, Fabio Musso, Kier Blevins and James J. Purtill. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Mathematische Nachrichten, Europhysics Letters (EPL) and Experimental Mathematics.

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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