G. Masi

3.1k citations
75 papers · 1.2k · h-index 16

Impact in

  • Finance top 2%
    • Banking stability, regulation, efficiency
    • Global Financial Crisis and Policies
    • Complex Network Analysis Techniques
    • Opinion Dynamics and Social Influence

Papers in

G. Masi

65 papers receiving 1.2k citations

Peers

G. Masi
Comparison fields: 5 of 97
  • Finance 408
  • Statistical and Nonlinear Physics 227
  • Instrumentation 61
  • Economics and Econometrics 481
  • Astronomy and Astrophysics 145
Replace David Saunders with:
David Saunders United States
Yuanhua Feng China
Kesar Singh United States
David W. Scott
Masaaki Sibuya Japan
Guillaume Carlier France
Πέτρος Δελλαπόρτας Greece
N. Balakrishnan Netherlands
Miloslav Vošvrda Czechia
T. R. Hurd Canada
G. Masi relative to David Saunders United States David Saunders's profile →
Citations per field
00.5×10.2×
David Saunders · 1×
Citations per year

Countries citing papers authored by G. Masi

Since Specialization
Citations

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

Fields of papers citing papers by G. Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007310
2 2006119
3 200576
4 200770
5 200869
6 201152
7 200642
8 201139
9 201533
10 201927
11 201422
12 202222
13 200421
14 202420
15 202019
16 201116
17 202413
18 202413
19 202213
20 202113

About G. Masi

G. Masi is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition, Economics and Econometrics, Computer Networks and Communications and Artificial Intelligence, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (16 papers), Complex Network Analysis Techniques (10 papers), Complex Systems and Time Series Analysis (10 papers), Distributed Control Multi-Agent Systems (8 papers), Video Surveillance and Tracking Methods (7 papers), Opinion Dynamics and Social Influence (7 papers), Robotic Path Planning Algorithms (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Finance (408 citations), Statistical and Nonlinear Physics (227 citations), Instrumentation (61 citations), Economics and Econometrics (481 citations) and Astronomy and Astrophysics (145 citations). G. Masi has collaborated with scholars based in United Arab Emirates, Italy and Canada. Frequent co-authors include Guido Caldarelli, Giulia Iori, Giampaolo Gabbi, Ovidiu V. Precup, Mauro Gallegati, Eliseo Ferrante, Roberto Bruschi, Wail Gueaieb, Abdulmotaleb El Saddik and G. Gabetta. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, Swarm Intelligence, The Astrophysical Journal and Physica A Statistical Mechanics and its Applications.

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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