Asma Ben Letaïfa

565 citations
61 papers · 316 indexed · h-index 10

Asma Ben Letaïfa

53 papers receiving 299 citations

Peers

Asma Ben Letaïfa
Comparison fields: 5 of 44
  • Computer Networks and Communications 200
  • Computer Vision and Pattern Recognition 102
  • Urban Studies 27
  • Signal Processing 40
  • Information Systems 77
Replace Pedro Martínez-Julia with:
Pedro Martínez-Julia Japan
Pablo Salvá-García United Kingdom
Ningwei Dai China
Behzad Akbari Iran
Francesco Bronzino United States
Jian-Jhih Kuo Taiwan
Luis Bellido Spain
Changyou Xing China
Matthew Broadbent United Kingdom
Asma Ben Letaïfa relative to Pedro Martínez-Julia Japan Pedro Martínez-Julia's profile →
Citations per field
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Pedro Martínez-Julia · 1×
Citations per year

Countries citing papers authored by Asma Ben Letaïfa

Since Specialization
Citations

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

Fields of papers citing papers by Asma Ben Letaïfa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asma Ben Letaïfa. 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 Asma Ben Letaïfa. The network helps show where Asma Ben Letaïfa may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Asma Ben Letaïfa, 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 Asma Ben Letaïfa Line = papers co-authored together Asma Ben Letaïfa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20240
3 20241
4 20231
5 202310
6 202313
7 20237
8 20230
9 20222
10
Chapter Five - User behavior-ensemble learning based improving QoE fairness in HTTP adaptive streaming over SDN approach.
20211
11 201717
12 20174
13 201712
14 20167
15 20143
16 201311
17 20111
18 20115
19 20061
20 20040

About Asma Ben Letaïfa

Asma Ben Letaïfa is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 61 papers that have together received 316 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (22 papers), IoT and Edge/Fog Computing (13 papers), Caching and Content Delivery (12 papers), Network Traffic and Congestion Control (9 papers), Multimedia Communication and Technology (9 papers), Cloud Computing and Resource Management (8 papers), Blockchain Technology Applications and Security (8 papers) and Software-Defined Networks and 5G (7 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Computer Vision and Pattern Recognition (102 citations) and Urban Studies (27 citations). Asma Ben Letaïfa has collaborated with scholars based in Tunisia, France and United States. Frequent co-authors include Sami Tabbane, Abderrezak Rachedi, Mohamed Hamdi, Taoufik Aguili, Oussama Habachi, Majed Haddad, Zièd Choukair, Wael Jaafar and Rami Langar. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology and Future Generation Computer Systems.

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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