Giovanni Petri

4.7k total citations · 2 hit papers
59 papers, 2.7k citations indexed

About

Giovanni Petri is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Giovanni Petri has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 17 papers in Statistical and Nonlinear Physics and 16 papers in Computational Theory and Mathematics. Recurrent topics in Giovanni Petri's work include Topological and Geometric Data Analysis (15 papers), Complex Network Analysis Techniques (15 papers) and Functional Brain Connectivity Studies (13 papers). Giovanni Petri is often cited by papers focused on Topological and Geometric Data Analysis (15 papers), Complex Network Analysis Techniques (15 papers) and Functional Brain Connectivity Studies (13 papers). Giovanni Petri collaborates with scholars based in Italy, United States and United Kingdom. Giovanni Petri's co-authors include Francesco Vaccarino, Alain Barrat, Alice Patania, Paul Expert, Samuel V. Scarpino, Federico Battiston, Vito Latora, Iacopo Iacopini, Federico Turkheimer and Angkoon Phinyomark and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Giovanni Petri

52 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The physics of higher-order interactions in complex systems

2021 520 citations Federico Battiston, Enrico Amico et al. Nature Physics profile →
Homological scaffolds of brain functional networks

2014 389 citations Giovanni Petri, Paul Expert et al. profile →

Peers

Giovanni Petri

SNP

CN

CTM

MB

CNC

Francesco Vaccarino Italy

Federico Battiston Austria

Vincenzo Nicosia United Kingdom

M. Ángeles Serrano Spain

Joseph T. Lizier Australia

Thomas Richardson United Kingdom

Tiago P. Peixoto Germany

Javier M. Buldú Spain

Jukka-Pekka Onnela United States

Gonzalo Travieso Brazil

Francesco Vaccarino Italy

Giovanni Petri

647 ×0.6

SNP

282 ×0.5

CN

462 ×0.8

CTM

234 ×0.7

MB

228 ×0.7

CNC

Citations per year, relative to Giovanni Petri Giovanni Petri (= 1×) peers Francesco Vaccarino

Countries citing papers authored by Giovanni Petri

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Petri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Petri

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Battiston, Federico, et al.. (2025). Synergistic Signatures of Group Mechanisms in Higher-Order Systems. Physical Review Letters. 134(13). 137401–137401. 6 indexed citations

2.

Brovelli, Andrea, Rubén Herzog, Pedro A. M. Mediano, et al.. (2025). A Taxonomy of Neuroscientific Strategies Based on Interaction Orders. European Journal of Neuroscience. 61(3). e16676–e16676.

3.

Saracco, Fabio, Giovanni Petri, Renaud Lambiotte, & Tiziano Squartini. (2025). Entropy-based models to randomise real-world hypergraphs. Communications Physics. 8(1). 2 indexed citations

4.

Altieri, Ada, et al.. (2025). Higher-order Ising model on hypergraphs. Physical review. E. 112(2). L022301–L022301.

5.

Santoro, Andrea, Federico Battiston, Maxime Lucas, Giovanni Petri, & Enrico Amico. (2024). Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior. Nature Communications. 15(1). 10244–10244. 14 indexed citations

6.

Petri, Giovanni, et al.. (2024). Higher-Order Null Models as a Lens for Social Systems. Physical Review X. 14(3). 1 indexed citations

7.

Kaufmann, Ralph M., Xuan Wang, Jingxuan Bao, et al.. (2024). Homological Landscape of Human Brain Functional Sub-Circuits. Mathematics. 12(3). 455–455. 4 indexed citations

8.

Lucas, Maxime, et al.. (2023). XGI: A Python package for higher-order interaction networks. The Journal of Open Source Software. 8(85). 5162–5162. 30 indexed citations

9.

Cunliffe, Vincent T., et al.. (2023). Social and asocial learning in zebrafish are encoded by a shared brain network that is differentially modulated by local activation. Communications Biology. 6(1). 633–633. 4 indexed citations

10.

Teles, Magda C., et al.. (2023). Evolutionarily conserved role of oxytocin in social fear contagion in zebrafish. Science. 379(6638). 1232–1237. 47 indexed citations

11.

Lucas, Maxime, et al.. (2023). Simplicially driven simple contagion. Physical Review Research. 5(1). 18 indexed citations

12.

Celeghin, Alessia, et al.. (2023). Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues. Frontiers in Computational Neuroscience. 17. 1153572–1153572. 16 indexed citations

13.

St-Onge, Guillaume, Iacopo Iacopini, Vito Latora, et al.. (2022). Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs. Communications Physics. 5(1). 65 indexed citations

14.

Iacopini, Iacopo, Giovanni Petri, Andrea Baronchelli, & Alain Barrat. (2022). Group interactions modulate critical mass dynamics in social convention. Communications Physics. 5(1). 38 indexed citations

15.

Arnaudon, Alexis, Robert L. Peach, Giovanni Petri, & Paul Expert. (2022). Connecting Hodge and Sakaguchi-Kuramoto through a mathematical framework for coupled oscillators on simplicial complexes. Communications Physics. 5(1). 32 indexed citations

16.

Andreas, Jacob, Gašper Beguš, Michael M. Bronstein, et al.. (2022). Toward understanding the communication in sperm whales. iScience. 25(6). 104393–104393. 19 indexed citations

17.

Billings, Jacob, et al.. (2022). Topological Features of Electroencephalography are Robust to Re-referencing and Preprocessing. Brain Topography. 35(1). 79–95. 4 indexed citations

18.

Battiston, Federico, Enrico Amico, Alain Barrat, et al.. (2021). The physics of higher-order interactions in complex systems. Nature Physics. 17(10). 1093–1098. 520 indexed citations breakdown →

19.

Patania, Alice, Giovanni Petri, & Francesco Vaccarino. (2017). The shape of collaborations. EPJ Data Science. 6(1). 154 indexed citations

20.

Petri, Giovanni, Paul Expert, Henrik Jeldtoft Jensen, & John Polak. (2013). Entangled communities and spatial synchronization lead to criticality in urban traffic. Scientific Reports. 3(1). 1798–1798. 31 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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