Francesco Pasquale

1.2k total citations
37 papers, 423 citations indexed

About

Francesco Pasquale is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Francesco Pasquale has authored 37 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 19 papers in Statistical and Nonlinear Physics and 8 papers in Management Science and Operations Research. Recurrent topics in Francesco Pasquale's work include Opinion Dynamics and Social Influence (15 papers), Opportunistic and Delay-Tolerant Networks (14 papers) and Complex Network Analysis Techniques (10 papers). Francesco Pasquale is often cited by papers focused on Opinion Dynamics and Social Influence (15 papers), Opportunistic and Delay-Tolerant Networks (14 papers) and Complex Network Analysis Techniques (10 papers). Francesco Pasquale collaborates with scholars based in Italy, France and United States. Francesco Pasquale's co-authors include Andrea Clementi, Riccardo Silvestri, Angelo Monti, Claudio Macci, Guendalina Capece, Nathan Levialdi Ghiron, Luca Becchetti, Vincenzo Auletta, Diodato Ferraioli and Giuseppe Persiano and has published in prestigious journals such as Information Sciences, Sustainability and IEEE/ACM Transactions on Networking.

In The Last Decade

Francesco Pasquale

34 papers receiving 415 citations

Peers

Francesco Pasquale

CNC

SNP

MSOR

EEE

G. Siganos United States

Ron Addie Australia

Ali ParandehGheibi United States

Jochen Mundinger Switzerland

Chavdar Dangalchev Bulgaria

Marc Maier United States

Jia Hu China

Suqi Cheng China

Yvonne-Anne Pignolet Switzerland

Naoto Ohsaka Japan

G. Siganos United States

Francesco Pasquale

349 ×1.3

CNC

205 ×1.6

SNP

16 ×0.3

MSOR

32 ×0.6

49 ×1.2

EEE

Citations per year, relative to Francesco Pasquale Francesco Pasquale (= 1×) peers G. Siganos

Countries citing papers authored by Francesco Pasquale

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Pasquale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Pasquale

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

All Works

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20 of 20 papers shown

Pasquale, Francesco, et al.. (2023). On a Voter Model with Context-Dependent Opinion Adoption. 2766–2768.

Becchetti, Luca, et al.. (2023). On the Role of Memory in Robust Opinion Dynamics. Cineca Institutional Research Information System (Tor Vergata University). 29–37. 3 indexed citations

Becchetti, Luca, et al.. (2021). Expansion and Flooding in Dynamic Random Networks with Node Churn. IRIS Research product catalog (Sapienza University of Rome). 976–986. 4 indexed citations

Becchetti, Luca, et al.. (2020). Step-by-step community detection in volume-regular graphs. Cineca Institutional Research Information System (Tor Vergata University). 3 indexed citations

Clementi, Andrea, et al.. (2018). A Tight Analysis of the Parallel Undecided-State Dynamics with Two Colors. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

Becchetti, Luca, Andrea Clementi, Emanuele Natale, et al.. (2017). Friend or Foe? Population Protocols can perform Community Detection. arXiv (Cornell University). 1 indexed citations

Becchetti, Luca, Andrea Clementi, Emanuele Natale, Francesco Pasquale, & Luca Trevisan. (2017). Find your place: simple distributed algorithms for community detection. Symposium on Discrete Algorithms. 940–959. 4 indexed citations

Clementi, Andrea, et al.. (2017). Brief Announcement: On the Parallel Undecided-State Dynamics with Two Colors. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations

Becchetti, Luca, Andrea Clementi, Emanuele Natale, et al.. (2016). Simple dynamics for plurality consensus. Distributed Computing. 30(4). 293–306. 17 indexed citations

10.

Becchetti, Luca, Andrea Clementi, Emanuele Natale, et al.. (2013). Simple Dynamics for Majority Consensus. arXiv (Cornell University). 1 indexed citations

11.

Becchetti, Luca, Andrea Clementi, Francesco Pasquale, et al.. (2013). Flooding Time in Opportunistic Networks under Power Law and Exponential Intercontact Times. IEEE Transactions on Parallel and Distributed Systems. 25(9). 2297–2306. 15 indexed citations

12.

Auletta, Vincenzo, Diodato Ferraioli, Francesco Pasquale, & Giuseppe Persiano. (2012). Metastability of logit dynamics for coordination games. Symposium on Discrete Algorithms. 1006–1024. 13 indexed citations

13.

Avin, Chen, Zvi Lotker, Francesco Pasquale, & Yvonne-Anne Pignolet. (2011). A note on uniform power connectivity in the physical signal to interference plus noise (SINR) model. Theoretical Computer Science. 453. 2–13. 2 indexed citations

14.

Becchetti, Luca, Andrea Clementi, Francesco Pasquale, et al.. (2011). Information Spreading in Opportunistic Networks is Fast. arXiv (Cornell University). 244(Pt 1). 151–159. 3 indexed citations

15.

Clementi, Andrea, Angelo Monti, Francesco Pasquale, & Riccardo Silvestri. (2011). Information Spreading in Stationary Markovian Evolving Graphs. IEEE Transactions on Parallel and Distributed Systems. 22(9). 1425–1432. 40 indexed citations

16.

Auletta, Vincenzo, Diodato Ferraioli, Francesco Pasquale, & Giuseppe Persiano. (2010). Mixing time and stationary expected social welfare of logit dynamics. 54–65. 2 indexed citations

17.

Clementi, Andrea, Claudio Macci, Angelo Monti, Francesco Pasquale, & Riccardo Silvestri. (2010). Flooding Time of Edge-Markovian Evolving Graphs. SIAM Journal on Discrete Mathematics. 24(4). 1694–1712. 42 indexed citations

18.

Clementi, Andrea, Claudio Macci, Angelo Monti, Francesco Pasquale, & Riccardo Silvestri. (2008). Flooding time in edge-Markovian dynamic graphs. Cineca Institutional Research Information System (Tor Vergata University). 213–222. 52 indexed citations

19.

Clementi, Andrea, Angelo Monti, Francesco Pasquale, & Riccardo Silvestri. (2008). Broadcasting in dynamic radio networks. Journal of Computer and System Sciences. 75(4). 213–230. 25 indexed citations

20.

Clementi, Andrea, Angelo Monti, Francesco Pasquale, & Riccardo Silvestri. (2007). Optimal Gossiping in Directed Geometric Radio Networks in Presence of Dynamical Faults (Extended Abstract).

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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