Emmanuel Conchon

451 citations
21 papers · 231 · h-index 8

Impact in

Papers in

Emmanuel Conchon

20 papers receiving 213 citations

Peers

Emmanuel Conchon
Comparison fields: 5 of 55
  • Computer Networks and Communications 127
  • Signal Processing 48
  • Information Systems 90
  • Hardware and Architecture 24
  • Artificial Intelligence 63
Replace Vandana Rohokale with:
Vandana Rohokale Denmark
Silvia Bonomi Italy
Jeong‐Nyeo Kim South Korea
Namhi Kang South Korea
Parwinder Kaur Dhillon India
Mohsen Amini Salehi United States
Samee U. Khan United States
José Jair Santanna Netherlands
Nouha Oualha France
Emmanuel Conchon relative to Vandana Rohokale Denmark Vandana Rohokale's profile →
Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Conchon

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Conchon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Emmanuel Conchon, 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 Emmanuel Conchon Line = papers co-authored together Emmanuel Conchon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201931
3 200727
4 202026
5 201622
6 201717
7 201315
8 20159
9 20217
10 20076
11 20125
12 20214
13 20093
14 20232
15 20222
16 20172
17 20161
18 20151
19 20141
20
A feedback based solution to emulate hidden terminals in wireless networks
20051

About Emmanuel Conchon

Emmanuel Conchon is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 21 papers that have together received 231 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Security and Verification in Computing (4 papers), Network Traffic and Congestion Control (3 papers), IoT and Edge/Fog Computing (3 papers), Advanced Malware Detection Techniques (3 papers), Wireless Networks and Protocols (3 papers), Scientific Computing and Data Management (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Computer Networks and Communications (127 citations), Signal Processing (48 citations), Information Systems (90 citations), Hardware and Architecture (24 citations) and Artificial Intelligence (63 citations). Emmanuel Conchon has collaborated with scholars based in France, Sweden and United Kingdom. Frequent co-authors include Damien Sauveron, Johan Garcia, Rémi Bastide, Tanguy Pérennou, Olivier Blazy, Raja Naeem Akram, Konstantinos Markantonakis, Anna Brunström, Malika Belkadi and Vera Goebel. Their work appears in journals such as Yearbook of Medical Informatics, Journal of Ambient Intelligence and Humanized Computing, Sensors, IEEE Access and EURASIP Journal on Wireless Communications and Networking.

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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