Franck Le

2.6k citations
80 papers · 1.3k · h-index 20

Impact in

Papers in

Franck Le

78 papers receiving 1.3k citations

Peers

Franck Le
Comparison fields: 5 of 53
  • Computer Networks and Communications 1.2k
  • Hardware and Architecture 162
  • Information Systems 331
  • Signal Processing 81
  • Artificial Intelligence 243
Replace Alberto Schaeffer-Filho with:
Alberto Schaeffer-Filho Brazil
Bob Lantz United States
Deval Bhamare Qatar
Chuck Yoo South Korea
Wes Felter United States
Laiping Zhao China
Anirudh Sivaraman United States
Yungang Bao China
Lihua Yuan United States
Franck Le relative to Alberto Schaeffer-Filho Brazil Alberto Schaeffer-Filho's profile →
Citations per field
00.5×1.5×2.1×
Alberto Schaeffer-Filho · 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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2
Stateless Network Functions: Breaking the Tight Coupling of State and Processing
2017116
3 201899
4 201990
5 201568
6 201743
7 200841
8 200638
9 200737
10 200836
11 200833
12 201529
13 201728
14 201927
15 201726
16 201521
17 201620
18 201120
19 202019
20 201919

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 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (41 papers), Network Traffic and Congestion Control (26 papers), Network Security and Intrusion Detection (20 papers), Caching and Content Delivery (19 papers), Cloud Computing and Resource Management (15 papers), Internet Traffic Analysis and Secure E-voting (15 papers), Network Packet Processing and Optimization (12 papers) and Advanced Optical Network Technologies (9 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Hardware and Architecture (162 citations), Information Systems (331 citations), Signal Processing (81 citations) and Artificial Intelligence (243 citations). Franck Le has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jorge Lobo, Alessandra Russo, Geoffrey G. Xie, Windhya Rankothge, Chuan Wu, Hui Zhang, Alex X. Liu, Jorge Ortiz, Eric Keller and Jiefei Ma. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, ACM SIGCOMM Computer Communication Review, IEEE Transactions on Network and Service Management and IEEE Transactions on Knowledge and Data Engineering.

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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