Benoît Parrein

1.1k citations
27 papers · 309 · h-index 9

Impact in

Papers in

Benoît Parrein

25 papers receiving 289 citations

Peers

Benoît Parrein
Comparison fields: 5 of 39
  • Computer Networks and Communications 226
  • Computer Vision and Pattern Recognition 43
  • Electrical and Electronic Engineering 105
  • Artificial Intelligence 53
  • Signal Processing 17
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Zhengming Zhang China
Lin-Huang Chang Taiwan
Mohammed Oumsis Morocco
Jingxiao Ma China
Kamaludin Mohamad Yusof Malaysia
Chuanwen Luo China
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Arnaud Kaiser France
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Parrein

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Parrein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010140
2 202227
3 202026
4 202223
5 202117
6 20019
7 20059
8 20188
9 20228
10 20217
11 20175
12 20034
13 20194
14 20224
15 20083
16 20013
17 20082
18 20052
19 20152
20 20241

About Benoît Parrein

Benoît Parrein is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Ocean Engineering, having authored 27 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers), IoT Networks and Protocols (4 papers), Underwater Vehicles and Communication Systems (4 papers), Network Security and Intrusion Detection (4 papers), Caching and Content Delivery (3 papers), Digital Image Processing Techniques (3 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Computer Vision and Pattern Recognition (43 citations), Electrical and Electronic Engineering (105 citations), Artificial Intelligence (53 citations) and Signal Processing (17 citations). Benoît Parrein has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Jiazi Yi, Asma Adnane, Kandaraj Piamrat, Ons Aouedi, Nicolas Normand, Abbass Nasser, Eduardo Motta Cruz, Sofiane Hamrioui, Patrick Horain and Ali Mansour. Their work appears in journals such as Internet of Things, IEEE Transactions on Network and Service Management, Future Internet, IEEE Journal of Oceanic Engineering and Computerized Medical Imaging and Graphics.

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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