Federico Cecconi

3.5k total citations · 1 hit paper
33 papers, 2.0k citations indexed

About

Federico Cecconi is a scholar working on Economics and Econometrics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Federico Cecconi has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 6 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in Federico Cecconi's work include Complex Systems and Time Series Analysis (5 papers), Neural dynamics and brain function (4 papers) and Complex Network Analysis Techniques (4 papers). Federico Cecconi is often cited by papers focused on Complex Systems and Time Series Analysis (5 papers), Neural dynamics and brain function (4 papers) and Complex Network Analysis Techniques (4 papers). Federico Cecconi collaborates with scholars based in Italy, United States and United Kingdom. Federico Cecconi's co-authors include Domenico Parisi, Vittorio Loreto, Claudio Castellano, Filippo Radicchi, Stefano Nolfi, Domenico Parisi, Alain Barrat, Marco Campennì, Rosaria Conte and Giulia Andrighetto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical and Bioanalytical Chemistry and Frontiers in Neuroscience.

In The Last Decade

Federico Cecconi

32 papers receiving 1.9k citations

Hit Papers

Defining and identifying communities in networks 2004 2026 2011 2018 2004 500 1000 1.5k
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.

  1. Defining and identifying communities in networks
    2004 1.6k citations Filippo Radicchi, Claudio Castellano et al. Proceedings of the National Academy of Sciences profile →

Peers

Federico Cecconi
E. A. Leicht United States
Tiago P. Peixoto Germany
Matthieu Latapy France
James P. Bagrow United States
Pietro Panzarasa United Kingdom
Albert Solé‐Ribalta Spain
Diego Garlaschelli Italy
Jierui Xie United States
Manuel Gomez-Rodriguez Germany
Zhan Bu China
E. A. Leicht United States
Federico Cecconi
Citations per year, relative to Federico Cecconi Federico Cecconi (= 1×) peers E. A. Leicht

Countries citing papers authored by Federico Cecconi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Cecconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Cecconi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Cecconi. A scholar is included among the top collaborators of Federico Cecconi 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 Federico Cecconi. Federico Cecconi 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
1.
Tecchio, Franca, Massimo Bertoli, Elvira Sbragia, et al.. (2025). Fatigue relief in multiple sclerosis by personalized neuromodulation: A multicenter pilot study [FaremusGE]. Multiple Sclerosis and Related Disorders. 94. 106276–106276. 1 indexed citations
2.
Cecconi, Federico, et al.. (2024). Private list sharing leads to cooperation and central hubs emergence in ABM. Journal of Physics Complexity. 5(2). 25007–25007. 1 indexed citations
3.
Pascarella, Annalisa, Vittoria Bruni, Camillo Porcaro, et al.. (2024). Functional balance at rest of hemispheric homologs assessed via normalized compression distance. Frontiers in Neuroscience. 17. 1261701–1261701. 1 indexed citations
4.
Cecconi, Federico. (2023). AI in the Financial Markets. 1 indexed citations
5.
Bertoli, Massimo, Patrizio Pasqualetti, L. Conti, et al.. (2023). Effects on Corticospinal Tract Homology of Faremus Personalized Neuromodulation Relieving Fatigue in Multiple Sclerosis: A Proof-of-Concept Study. Brain Sciences. 13(4). 574–574. 5 indexed citations
6.
Pecoraro, Fabrizio, et al.. (2023). Agent Based Modelling for Simulating the Interregional Patient Mobility in Italy. Studies in health technology and informatics. 302. 297–301. 2 indexed citations
7.
Cecconi, Federico, Patrizio Pasqualetti, Massimo Bertoli, et al.. (2023). On the Homology of the Dominant and Non-Dominant Corticospinal Tracts: A Novel Neurophysiological Assessment. Brain Sciences. 13(2). 278–278. 4 indexed citations
8.
Tecchio, Franca, et al.. (2019). The Morphology of Somatosensory Evoked Potentials During Middle Cerebral Artery Aneurysm Clipping (MoSAC): A Pilot Study. Clinical EEG and Neuroscience. 51(2). 130–136. 4 indexed citations
9.
Campennì, Marco, Giulia Andrighetto, Federico Cecconi, & Rosaria Conte. (2009). Normal = Normative? The role of intelligent agents in norm innovation. Mind & Society. 8(2). 153–172. 21 indexed citations
10.
Cecconi, Federico, et al.. (2008). Low correlations between dividends and returns: the Alitalia 's case. international conference on Modelling and simulation. 258–263. 1 indexed citations
11.
Parisi, Domenico, Francesco Antinucci, Francesco Natale, & Federico Cecconi. (2008). Simulating the expansion of farming and the differentiation of European languages. 192–214. 7 indexed citations
12.
Andrighetto, Giulia, Marco Campennì, Federico Cecconi, & Rosaria Conte. (2008). How Agents Find out Norms: A Simulation Based Model of Norm Innovation.. 16–30. 12 indexed citations
13.
Cecconi, Federico & Domenico Parisi. (2007). Asymmetric pricing: an agent based model. international conference on Modelling and simulation. 380–385. 2 indexed citations
14.
Cecconi, Federico & Marco Campennì. (2006). Recurrent and concurrent neural networks for objects recognition. 216–221. 3 indexed citations
15.
Castellano, Claudio, Vittorio Loreto, Alain Barrat, Federico Cecconi, & Domenico Parisi. (2005). Comparison of voter and Glauber ordering dynamics on networks. Physical Review E. 71(6). 66107–66107. 88 indexed citations
16.
Radicchi, Filippo, Claudio Castellano, Federico Cecconi, Vittorio Loreto, & Domenico Parisi. (2004). Defining and identifying communities in networks. Proceedings of the National Academy of Sciences. 101(9). 2658–2663. 1575 indexed citations breakdown →
17.
Castellano, Claudio, Federico Cecconi, Vittorio Loreto, Domenico Parisi, & Filippo Radicchi. (2004). Self-contained algorithms to detect communities in networks. The European Physical Journal B. 38(2). 311–319. 36 indexed citations
18.
Parisi, Domenico, Federico Cecconi, & Francesco Natale. (2003). Cultural Change in Spatial Environments. Journal of Conflict Resolution. 47(2). 163–179. 29 indexed citations
19.
Verardo, Giancarlo, et al.. (2002). New procedures for determination of acids in coffee extracts, and observations on the development of acidity upon ageing. Analytical and Bioanalytical Chemistry. 374(5). 879–885. 12 indexed citations
20.
Cecconi, Federico & Domenico Parisi. (1993). Neural networks with motivational units. 346–355. 7 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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