Franck Le

2.6k citations
76 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Franck Le

73 papers receiving 1.2k citations

Peers

Franck Le
Comparison fields: 5 of 48
  • Computer Networks and Communications 1.1k
  • Hardware and Architecture 152
  • Information Systems 311
  • Artificial Intelligence 201
  • Signal Processing 65
Replace Zoltán Ádám Mann with:
Zoltán Ádám Mann Germany
Alberto Schaeffer-Filho Brazil
Deval Bhamare Qatar
Wes Felter United States
Laiping Zhao China
Yungang Bao China
Chuck Yoo South Korea
Nikhil Handigol United States
Siddhartha Sen United States
Franck Le relative to Zoltán Ádám Mann Germany Zoltán Ádám Mann's profile →
Citations per field
00.5×1.5×2.3×
Zoltán Ádám Mann · 1×
Citations per year

Countries citing papers authored by Franck Le

Since Specialization
Citations

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

Fields of papers citing papers by Franck Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017120
2
Stateless Network Functions: Breaking the Tight Coupling of State and Processing
2017115
3 201898
4 201981
5 201564
6 201742
7 200840
8 200835
9 200635
10 200733
11 201528
12 200827
13 201726
14 201725
15 201925
16 201620
17 201919
18 202018
19 201117
20 201017

About Franck Le

Franck Le is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Hardware and Architecture, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (41 papers), Network Traffic and Congestion Control (26 papers), Caching and Content Delivery (19 papers), Network Security and Intrusion Detection (17 papers), Cloud Computing and Resource Management (15 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Network Packet Processing and Optimization (11 papers) and Advanced Optical Network Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Hardware and Architecture (152 citations), Information Systems (311 citations), Artificial Intelligence (201 citations) and Signal Processing (65 citations). Franck Le has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jorge Lobo, Alessandra Russo, Windhya Rankothge, Geoffrey G. Xie, Chuan Wu, Alex X. Liu, Hui Zhang, Eric Keller, Jorge Ortiz and Zongpeng Li. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, ACM SIGCOMM Computer Communication Review, Theory and Practice of Logic Programming and IEEE Transactions on Network and Service Management.

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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