Giuseppe Mangioni

1.6k total citations · 1 hit paper
55 papers, 753 citations indexed

About

Giuseppe Mangioni is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Giuseppe Mangioni has authored 55 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 15 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Giuseppe Mangioni's work include Complex Network Analysis Techniques (17 papers), Peer-to-Peer Network Technologies (10 papers) and Embedded Systems Design Techniques (6 papers). Giuseppe Mangioni is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Peer-to-Peer Network Technologies (10 papers) and Embedded Systems Design Techniques (6 papers). Giuseppe Mangioni collaborates with scholars based in Italy, United Kingdom and United States. Giuseppe Mangioni's co-authors include Giorgio Fagiolo, Marco Grassia, Vincenza Carchiolo, Michele Malgeri, Matteo Barigozzi, Manlio De Domenico, Filippo Radicchi, Oriol Artime, Matjaž Perc and Hernán A. Makse and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Giuseppe Mangioni

51 papers receiving 722 citations

Hit Papers

Robustness and resilience... 2024 2026 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Mangioni Italy 11 297 145 122 103 80 55 753
Jinshan Wu China 17 399 1.3× 105 0.7× 52 0.4× 117 1.1× 83 1.0× 52 929
Manuel Sebastian Mariani Switzerland 12 214 0.7× 187 1.3× 28 0.2× 53 0.5× 49 0.6× 30 549
Gaogao Dong China 19 828 2.8× 187 1.3× 325 2.7× 67 0.7× 62 0.8× 65 1.2k
Daijun Wei China 15 438 1.5× 95 0.7× 111 0.9× 131 1.3× 43 0.5× 28 961
Sukono Sukono Indonesia 14 248 0.8× 238 1.6× 134 1.1× 93 0.9× 52 0.7× 154 971
Oriol Lordan Spain 16 476 1.6× 55 0.4× 122 1.0× 45 0.4× 54 0.7× 41 1.1k
Irena Vodenska United States 16 203 0.7× 312 2.2× 53 0.4× 215 2.1× 62 0.8× 42 902
Manuel Ruiz Marín Spain 17 152 0.5× 417 2.9× 48 0.4× 108 1.0× 69 0.9× 94 902
Elisa Omodei Austria 8 246 0.8× 45 0.3× 49 0.4× 70 0.7× 59 0.7× 21 525
Clémence Magnien France 11 342 1.2× 55 0.4× 188 1.5× 133 1.3× 81 1.0× 31 735

Countries citing papers authored by Giuseppe Mangioni

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Mangioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Mangioni

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Mangioni. A scholar is included among the top collaborators of Giuseppe Mangioni 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 Giuseppe Mangioni. Giuseppe Mangioni 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
2.
Artime, Oriol, Marco Grassia, Manlio De Domenico, et al.. (2024). Robustness and resilience of complex networks. Nature Reviews Physics. 6(2). 114–131. 262 indexed citations breakdown →
3.
Carchiolo, Vincenza, Marco Grassia, Michele Malgeri, & Giuseppe Mangioni. (2024). Geometric Deep Learning sub-network extraction for Maximum Clique Enumeration. PLoS ONE. 19(1). e0296185–e0296185.
4.
Carchiolo, Vincenza, et al.. (2022). Link Prediction in Time Varying Social Networks. Information. 13(3). 123–123. 12 indexed citations
5.
Carchiolo, Vincenza, Marco Grassia, Michele Malgeri, & Giuseppe Mangioni. (2022). Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers. Future Internet. 14(6). 187–187. 9 indexed citations
6.
Carchiolo, Vincenza, Marco Grassia, Alessandro Longheu, Michele Malgeri, & Giuseppe Mangioni. (2022). Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning. ACM Transactions on Knowledge Discovery from Data. 17(3). 1–22. 3 indexed citations
7.
Grassia, Marco, Giuseppe Mangioni, Stefano Schiavo, & Silvio Traverso. (2022). Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations. Scientific Reports. 12(1). 4644–4644. 20 indexed citations
8.
Carchiolo, Vincenza, Marco Grassia, Alessandro Longheu, Michele Malgeri, & Giuseppe Mangioni. (2021). A Network-Based Analysis of a Worksite Canteen Dataset. Big Data and Cognitive Computing. 5(1). 11–11. 2 indexed citations
9.
Carchiolo, Vincenza, et al.. (2021). Mutual Influence of Users Credibility and News Spreading in Online Social Networks. Future Internet. 13(5). 107–107. 7 indexed citations
10.
Grassia, Marco, Giuseppe Mangioni, Stefano Schiavo, & Silvio Traverso. (2021). (Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic. Journal of Complex Networks. 10(1). 7 indexed citations
11.
Alves, Luiz G. A., Giuseppe Mangioni, Francisco A. Rodrigues, Pietro Panzarasa, & Yamir Moreno. (2019). Unfolding the complexity of the global value chain: Strength and entropy in the single-layer, multiplex, and multi-layer international trade networks. Zaguan (University of Zaragoza Repository). 24 indexed citations
12.
Carchiolo, Vincenza, Alessandro Longheu, Michele Malgeri, & Giuseppe Mangioni. (2015). The Cost of Trust in the Dynamics of Best Attachment. Computing and Informatics / Computers and Artificial Intelligence. 34(1). 167–184. 4 indexed citations
13.
Ghoshal, Gourab, et al.. (2014). Social system as complex networks. Social Network Analysis and Mining. 4(1). 9 indexed citations
14.
Barigozzi, Matteo, Giorgio Fagiolo, & Giuseppe Mangioni. (2011). Identifying the community structure of the international-trade multi-network. Physica A Statistical Mechanics and its Applications. 390(11). 2051–2066. 122 indexed citations
15.
Menezes, Ronaldo, Santo Fortunato, Giuseppe Mangioni, & Vincenzo Nicosia. (2009). Complex Networks: Results of the 1st International Workshop on Complex Networks - CompleNet 2009. Springer eBooks. 1 indexed citations
16.
Nicosia, Vincenzo, Giuseppe Mangioni, Vincenza Carchiolo, & Michele Malgeri. (2008). Extending modularity definition for directed graphs with overlapping communities. arXiv (Cornell University). 13 indexed citations
17.
Carchiolo, Vincenza, Michele Malgeri, & Giuseppe Mangioni. (2003). TTL: a modular language for hardware/software systems design. Journal of Computer and System Sciences. 66(2). 293–315. 2 indexed citations
18.
Carchiolo, Vincenza, Michele Malgeri, & Giuseppe Mangioni. (2002). An algorithm for direct synthesis of formal specifications. 28–38. 4 indexed citations
19.
Carchiolo, Vincenza, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni, & Vincenzo Nicosia. (2001). The Dilemma of Trust: a Social Network Based Approach. Scalable Computing Practice and Experience. 9(1). 1 indexed citations
20.
Carchiolo, Vincenza, Michele Malgeri, & Giuseppe Mangioni. (1997). An approach to the synthesis of HW and SW in codesign. 173–177. 1 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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