Matteo Gori

23 papers receiving 290 citations

Peers

Matteo Gori
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 50
  • Atomic and Molecular Physics, and Optics 100
  • Computational Theory and Mathematics 50
  • Biophysics 18
  • Fluid Flow and Transfer Processes 16
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Alfredo E. Cárdenas United States
Roberto Olender Israel
Alexander Fischer United States
Jan O. Daldrop Germany
João Marcelo Lamim Ribeiro United States
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Mineui Hong United States
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Jingyuan Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Gori

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Gori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201648
2
Out-of-equilibrium collective oscillation as phonon condensation in a model protein
201836
3 202231
4 198424
5 198522
6 202119
7 198715
8 201913
9 201413
10 202311
11 201811
12 201710
13 20237
14 19857
15 20226
16 20195
17 20234
18 20164
19 20214
20 20214

About Matteo Gori

Matteo Gori is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Biomedical Engineering, Materials Chemistry and Condensed Matter Physics, having authored 24 papers that have together received 300 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (6 papers), Material Dynamics and Properties (4 papers), Theoretical and Computational Physics (4 papers), Biofield Effects and Biophysics (3 papers), Topological and Geometric Data Analysis (3 papers), Terahertz technology and applications (3 papers), stochastic dynamics and bifurcation (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (50 citations), Atomic and Molecular Physics, and Optics (100 citations), Computational Theory and Mathematics (50 citations), Biophysics (18 citations) and Fluid Flow and Transfer Processes (16 citations). Matteo Gori has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Marco Pettini, R. Vallauri, U. Balucani, Roberto Franzosi, T. Gaskell, Irene Donato, Alexandre Tkatchenko, Giovanni Petri, Francesco Vaccarino and Dmitry V. Fedorov. Their work appears in journals such as Physical review. E, Journal of the American Chemical Society, Journal of Physics A Mathematical and Theoretical, Nature Communications and Physica D Nonlinear Phenomena.

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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