Massimo Marchiori

12.3k citations
61 papers · 8.5k · 3 hit papers · h-index 18

Impact in

Papers in

Massimo Marchiori

55 papers receiving 8.2k citations

Massimo Marchiori's Hit Papers

Model for cascading failures in complex networks 2004 · 864 citations
8640+8+16Years since publication10002.0k3.0k

Peers

Massimo Marchiori
Comparison fields: 5 of 187
  • Statistical and Nonlinear Physics 3.4k
  • Cognitive Neuroscience 2.1k
  • Transportation 557
  • Computer Networks and Communications 1.3k
  • Experimental and Cognitive Psychology 559
Replace Dong‐Uk Hwang with:
Dong‐Uk Hwang South Korea
Luciano da Fontoura Costa Brazil
Manlio De Domenico Italy
Jari Saramäki Finland
Mahdi Jalili Australia
Ulrik Brandes Germany
Albert Dı́az-Guilera Spain
Adilson E. Motter United States
Vincenzo Nicosia United Kingdom
Massimiliano Zanin Spain
Massimo Marchiori relative to Dong‐Uk Hwang South Korea Dong‐Uk Hwang's profile →
Citations per field
00.5×1.5×2.5×
Dong‐Uk Hwang · 1×
Citations per year

Countries citing papers authored by Massimo Marchiori

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Marchiori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Marchiori, 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 Massimo Marchiori Line = papers co-authored together Massimo Marchiori links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient Behavior of Small-World Networks
Hit paper breakdown →
20013741
2
Model for cascading failures in complex networks
Hit paper breakdown →
2004864
3
Economic small-world behavior in weighted networks
Hit paper breakdown →
2003568
4 2004361
5
Is the Boston Subway a Small-World Network?
2002352
6 2004347
7
The platform for privacy preferences 1.0 (p3p1.0) specification
2002341
8 2003332
9 2005285
10 2007267
11 2000211
12 2004200
13 2003137
14 1997124
15 2005103
16 199846
17 200430
18 201722
19
Query + Metadata + Logic = Metalog.
199817
20 201514

About Massimo Marchiori

Massimo Marchiori is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems and Signal Processing, having authored 61 papers that have together received 8.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Semantic Web and Ontologies (10 papers), Opinion Dynamics and Social Influence (10 papers), Human Mobility and Location-Based Analysis (6 papers), Logic, Reasoning, and Knowledge (5 papers), Data Management and Algorithms (4 papers), Logic, programming, and type systems (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.4k citations), Cognitive Neuroscience (2.1k citations), Transportation (557 citations), Computer Networks and Communications (1.3k citations) and Experimental and Cognitive Psychology (559 citations). Massimo Marchiori has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Vito Latora, Paolo Crucitti, Andrea Rapisarda, Lorrie Faith Cranor, Marc Langheinrich, Santo Fortunato, David E. Nicodem, Claudio Franceschi, Gastone Castellani and Daniel Remondini. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Theoretical Computer Science, PLoS ONE, New Journal of Physics and The Journal of Organic Chemistry.

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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