Giuseppe Mangioni

1.6k citations
55 papers · 753 indexed · 1 hit paper · h-index 11

Giuseppe Mangioni

51 papers receiving 722 citations

Hit Papers

Robustness and resilience of complex networks26220242026202550100150200250

Peers

Giuseppe Mangioni
Comparison fields: 5 of 110
  • Statistical and Nonlinear Physics 297
  • General Energy 7
  • General Economics, Econometrics and Finance 45
  • Computer Networks and Communications 122
  • Economics and Econometrics 145
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Citations per year

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

The 25 scholars most cited alongside Giuseppe Mangioni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giuseppe Mangioni Line = papers co-authored together Giuseppe Mangioni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Robustness and resilience of complex networksbreakdown →
2024262
3 20240
4 20229
5 202212
6 20223
7 202220
8 20217
9 20212
10
Unfolding the complexity of the global value chain: Strength and entropy in the single-layer, multiplex, and multi-layer international trade networks
201924
11 201929
12
The Cost of Trust in the Dynamics of Best Attachment
20154
13 20149
14 20091
15
Extending modularity definition for directed graphs with overlapping communities
200813
16 20078
17 200414
18 20032
19 20024
20 20011

About Giuseppe Mangioni

Giuseppe Mangioni is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications and Hardware and Architecture, having authored 55 papers that have together received 753 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Peer-to-Peer Network Technologies (10 papers), Embedded Systems Design Techniques (6 papers), Access Control and Trust (6 papers), Economic and Technological Innovation (4 papers), Advanced Graph Neural Networks (4 papers), Open Education and E-Learning (4 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (297 citations), General Energy (7 citations) and General Economics, Econometrics and Finance (45 citations). Giuseppe Mangioni has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giorgio Fagiolo, Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Matteo Barigozzi, Manlio De Domenico, Filippo Radicchi, Hernán A. Makse, James P. Gleeson and Oriol Artime. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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