Marco Righero

681 citations
51 papers · 477 · h-index 9

Impact in

Papers in

Marco Righero

47 papers receiving 460 citations

Peers

Marco Righero
Comparison fields: 5 of 60
  • Statistical and Nonlinear Physics 193
  • Computer Networks and Communications 182
  • Cognitive Neuroscience 107
  • Aerospace Engineering 127
  • Electrical and Electronic Engineering 168
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Andy Kho United States
Brian K. Meadows United States
Tatsuo Yanagita Japan
Yumei Tan China
Viktoras Pyragas Lithuania
Tetsuro Endo Japan
Alexey Kazakov Russia
Stavros G. Stavrinides Greece
Aiguo Song China
Pier Paolo Civalleri Italy
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Citations per field
00.5×9.8×
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Citations per year

Countries citing papers authored by Marco Righero

Since Specialization
Citations

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

Fields of papers citing papers by Marco Righero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006200
2 201436
3 201329
4 200827
5 201421
6 202019
7 202317
8 202214
9
Near-Field Phase Reconstruction for UAV-based Antenna Measurements
201910
10 20118
11 20097
12
Information Processing in Networks of Coupled Hindmarsh-Rose Neurons
20066
13 20206
14 20226
15 20254
16 20234
17 20114
18 20234
19 20204
20 20074

About Marco Righero

Marco Righero is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 51 papers that have together received 477 indexed citations. Recurring topics across this work include Electromagnetic Compatibility and Measurements (17 papers), Antenna Design and Analysis (16 papers), Antenna Design and Optimization (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Advanced Antenna and Metasurface Technologies (8 papers), Neural dynamics and brain function (8 papers), stochastic dynamics and bifurcation (8 papers) and Electromagnetic Scattering and Analysis (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (193 citations), Computer Networks and Communications (182 citations), Cognitive Neuroscience (107 citations), Aerospace Engineering (127 citations) and Electrical and Electronic Engineering (168 citations). Marco Righero has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Ljupčo Kocarev, Dongchuan Yu, G. Vecchi, Mario Biey, Francesca Vipiana, J. L. Araque Quijano, M. Sabbadini, Fabio Paonessa, Fernando Corinto and Igor Mishkovski. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Cancers, Nature Communications, IEEE Open Journal of Antennas and Propagation and International Journal of Circuit Theory and 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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