Fabio Pezzoni

532 total citations
11 papers, 335 citations indexed

About

Fabio Pezzoni is a scholar working on Statistical and Nonlinear Physics, Communication and Computer Networks and Communications. According to data from OpenAlex, Fabio Pezzoni has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 5 papers in Communication and 4 papers in Computer Networks and Communications. Recurrent topics in Fabio Pezzoni's work include Social Media and Politics (5 papers), Complex Network Analysis Techniques (5 papers) and Opinion Dynamics and Social Influence (5 papers). Fabio Pezzoni is often cited by papers focused on Social Media and Politics (5 papers), Complex Network Analysis Techniques (5 papers) and Opinion Dynamics and Social Influence (5 papers). Fabio Pezzoni collaborates with scholars based in Italy, Spain and United Kingdom. Fabio Pezzoni's co-authors include Andrea Passarella, Marco Conti, Valerio Arnaboldi, Pedro M. Ruiz, Claudio E. Palazzi, Dino Pedreschi, Salvatore Rinzivillo, Fosca Giannotti, Michele Coscia and Robin Dunbar and has published in prestigious journals such as Computer Communications, Pervasive and Mobile Computing and Healthcare.

In The Last Decade

Fabio Pezzoni

11 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Pezzoni Italy 9 146 99 70 64 50 11 335
Atif Nazir United States 8 122 0.8× 135 1.4× 13 0.2× 71 1.1× 22 0.4× 10 347
Marin Vuković Croatia 9 37 0.3× 63 0.6× 31 0.4× 77 1.2× 36 0.7× 45 342
Christopher Riederer United States 9 94 0.6× 33 0.3× 61 0.9× 162 2.5× 19 0.4× 10 396
Humberto T. Marques-Neto Brazil 10 30 0.2× 77 0.8× 61 0.9× 48 0.8× 19 0.4× 50 282
Dmytro Karamshuk United Kingdom 10 28 0.2× 265 2.7× 98 1.4× 36 0.6× 60 1.2× 15 434
Farshad Kooti United States 10 139 1.0× 116 1.2× 65 0.9× 153 2.4× 9 0.2× 16 525
Joydeep Chandra India 12 63 0.4× 33 0.3× 38 0.5× 71 1.1× 12 0.2× 58 384
Qingyuan Gong China 9 82 0.6× 110 1.1× 22 0.3× 52 0.8× 12 0.2× 33 304
Mahmoudreza Babaei Germany 9 234 1.6× 78 0.8× 8 0.1× 114 1.8× 18 0.4× 13 392

Countries citing papers authored by Fabio Pezzoni

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Pezzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Pezzoni

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

All Works

11 of 11 papers shown
1.
Dueñas, Lirios, et al.. (2023). Women’s Involvement in Steady Exercise (WISE): Study Protocol for a Randomized Controlled Trial. Healthcare. 11(9). 1279–1279. 1 indexed citations
2.
Arnaboldi, Valerio, et al.. (2015). Ego network structure in online social networks and its impact on information diffusion. Computer Communications. 76. 26–41. 57 indexed citations
3.
Arnaboldi, Valerio, et al.. (2014). Information diffusion in OSNs. 616–621. 11 indexed citations
4.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Fabio Pezzoni. (2013). Ego networks in Twitter: An experimental analysis. 3459–3464. 33 indexed citations
5.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Fabio Pezzoni. (2013). Ego networks in Twitter: An experimental analysis. 6. 229–234. 9 indexed citations
6.
Arnaboldi, Valerio, Marco Conti, Andrea Passarella, & Fabio Pezzoni. (2012). Analysis of Ego Network Structure in Online Social Networks. 31–40. 67 indexed citations
7.
Passarella, Andrea, Robin Dunbar, Marco Conti, & Fabio Pezzoni. (2012). Ego network models for Future Internet social networking environments. Computer Communications. 35(18). 2201–2217. 28 indexed citations
8.
Rinzivillo, Salvatore, et al.. (2012). Discovering the Geographical Borders of Human Mobility. KI - Künstliche Intelligenz. 26(3). 253–260. 55 indexed citations
9.
Conti, Marco, Andrea Passarella, & Fabio Pezzoni. (2012). From ego network to social network models. 91–92. 2 indexed citations
10.
Conti, Marco, Andrea Passarella, & Fabio Pezzoni. (2011). A model for the generation of social network graphs. INFM-OAR (INFN Catania). 1–6. 13 indexed citations
11.
Palazzi, Claudio E., Fabio Pezzoni, & Pedro M. Ruiz. (2011). Delay-bounded data gathering in urban vehicular sensor networks. Pervasive and Mobile Computing. 8(2). 180–193. 59 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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