G. Benelli

1.2k citations
91 papers · 937 · h-index 16

Impact in

Papers in

G. Benelli

85 papers receiving 865 citations

Peers

G. Benelli
Comparison fields: 5 of 111
  • Computer Networks and Communications 324
  • Computer Vision and Pattern Recognition 136
  • Signal Processing 69
  • Electrical and Electronic Engineering 325
  • Immunology 100
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Asaf Cohen Israel
Ying Duan China
Jian Tao United States
Hideaki Goto Japan
David S. Matheson Canada
Hu United States
Dingsheng Liu China
John Lai Australia
Sergei Zuyev United Kingdom
Cheng Zhi China
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Citations per field
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Citations per year

Countries citing papers authored by G. Benelli

Since Specialization
Citations

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

Fields of papers citing papers by G. Benelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009101
2 198590
3 199061
4 201236
5 200336
6 200336
7 200928
8 199527
9 199425
10 201024
11 201124
12 200922
13 198722
14 201020
15 198020
16 199218
17 199314
18 200213
19 201012
20 200812

About G. Benelli

G. Benelli is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 91 papers that have together received 937 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (29 papers), Advanced Wireless Communication Techniques (28 papers), Coding theory and cryptography (17 papers), Advanced Data Compression Techniques (11 papers), Advanced Wireless Network Optimization (8 papers), Error Correcting Code Techniques (7 papers), Wireless Networks and Protocols (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Computer Networks and Communications (324 citations), Computer Vision and Pattern Recognition (136 citations), Signal Processing (69 citations), Electrical and Electronic Engineering (325 citations) and Immunology (100 citations). G. Benelli has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Andrea Garzelli, Fabrizio Argenti, Luciano Alparone, Lidia Ibba‐Manneschi, Mirko Manetti, Anna Franca Milia, Marco Matucci‐Cerinic, Andrea Abrardo, Serena Guiducci and Romano Fantacci. Their work appears in journals such as Electronics Letters, IEEE Transactions on Vehicular Technology, IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications and Journal of Cellular and Molecular Medicine.

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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