G.M. Maggio

1.7k citations
48 papers · 1.2k · h-index 16

Impact in

Papers in

G.M. Maggio

45 papers receiving 1.1k citations

Peers

G.M. Maggio
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 467
  • Computer Networks and Communications 760
  • Electrical and Electronic Engineering 625
  • Computer Vision and Pattern Recognition 175
  • Aerospace Engineering 155
Replace Serdar Özoğuz with:
Serdar Özoğuz Türkiye
Mengfan Cheng China
P. Arena Italy
Zbigniew Galias Poland
G. Kolumbán Hungary
A. S. Dmitriev Russia
Tengfei Lei China
Ioannis Stouboulos Greece
Gabriele Manganaro United States
I. Μ. Kyprianidis Greece
G.M. Maggio relative to Serdar Özoğuz Türkiye Serdar Özoğuz's profile →
Citations per field
00.5×5.3×
Serdar Özoğuz · 1×
Citations per year

Countries citing papers authored by G.M. Maggio

Since Specialization
Citations

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

Fields of papers citing papers by G.M. Maggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007211
2 1999206
3 2001189
4 200187
5 200768
6 200060
7 200142
8 200537
9 200335
10 200329
11 200229
12 200527
13 200326
14 200518
15 200416
16 200615
17 200414
18 200213
19 199613
20 200211

About G.M. Maggio

G.M. Maggio is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Aerospace Engineering and Computational Theory and Mathematics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (16 papers), Chaos control and synchronization (14 papers), Antenna Design and Analysis (12 papers), Advanced Wireless Communication Techniques (10 papers), Error Correcting Code Techniques (9 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Cellular Automata and Applications (9 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (467 citations), Computer Networks and Communications (760 citations), Electrical and Electronic Engineering (625 citations), Computer Vision and Pattern Recognition (175 citations) and Aerospace Engineering (155 citations). G.M. Maggio has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Zbigniew Galias, O. De Feo, Michael Peter Kennedy, Imrich Chlamtac, Tao Chen, Honggang Zhang, Luca Reggiani, Frédéric Lehmann, Nikolai F. Rulkov and Ljupčo Kocarev. Their work appears in journals such as International Journal of Bifurcation and Chaos, IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Communications Magazine.

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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