Fethi Bougares

28.8k total citations
25 papers, 231 citations indexed

About

Fethi Bougares is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Fethi Bougares has authored 25 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Fethi Bougares's work include Natural Language Processing Techniques (22 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (9 papers). Fethi Bougares is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (9 papers). Fethi Bougares collaborates with scholars based in France, United Kingdom and Spain. Fethi Bougares's co-authors include Yannick Estève, Loïc Barrault, Lucia Specia, Desmond Elliott, Stella Frank, Mariem Ellouze, Lamia Hadrich Belguith, Holger Schwenk, Paul Deléglise and Anthony Rousseau and has published in prestigious journals such as Language Resources and Evaluation, Machine Translation and Wolverhampton Intellectual Repository and E-Theses (University of Wolverhampton).

In The Last Decade

Fethi Bougares

20 papers receiving 208 citations

Peers

Fethi Bougares
Comparison fields: 5 of 19
  • Artificial Intelligence 213
  • Computer Vision and Pattern Recognition 94
  • Signal Processing 35
  • Language and Linguistics 16
  • Information Systems 8
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Matthias Paulik United States
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Lucas Smaira United Kingdom
Sebastian Stüker Germany
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Citations per field, relative to Fethi Bougares
Fethi Bougares · 1×
Citations per year, relative to Fethi Bougares
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Countries citing papers authored by Fethi Bougares

Since Specialization
Citations

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

Fields of papers citing papers by Fethi Bougares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fethi Bougares

This figure shows the co-authorship network connecting the top 25 collaborators of Fethi Bougares. A scholar is included among the top collaborators of Fethi Bougares based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fethi Bougares. Fethi Bougares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 1
6 5
7 0
8
Text and Speech-based Tunisian Arabic Sub-Dialects Identification
3
9 22
10 6
11 36
12 0
13 1
14 13
15
Phonetic tool for the Tunisian Arabic
9
16
Phonétisation automatique du dialecte tunisien
1
17
Efficient training strategies for deep neural network language models.
4
18 1
19
LIUM’s systems for the IWSLT 2011 Speech Translation Tasks
26
20 2

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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