Malika Boudraa

492 total citations
30 papers, 340 citations indexed

About

Malika Boudraa is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Malika Boudraa has authored 30 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Malika Boudraa's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (9 papers) and Non-Destructive Testing Techniques (7 papers). Malika Boudraa is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (9 papers) and Non-Destructive Testing Techniques (7 papers). Malika Boudraa collaborates with scholars based in Algeria, Canada and France. Malika Boudraa's co-authors include Bachir Boudraa, Sid‐Ahmed Selouani, Redouane Drai, Bachir Boucheham, Youcef Ferdi, Ahmed Kechida, Halim Sayoud, Messaoud Bengherabi, Yousef Ajami Alotaibi and Bernard Guérin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Neural Computing and Applications.

In The Last Decade

Malika Boudraa

26 papers receiving 320 citations

Peers

Malika Boudraa
Comparison fields: 5 of 63
  • Artificial Intelligence 126
  • Signal Processing 96
  • Physiology 88
  • Mechanical Engineering 75
  • Civil and Structural Engineering 65
Replace Paulo Rogério Scalassara with:
Paulo Rogério Scalassara Brazil
Hogeon Seo South Korea
Abdulbasit K. Al‐Talabani Iraq
Bachir Boudraa Algeria
Zhonghong Yan China
Stephen So Australia
Hao Meng China
Allon Guez United States
Kaori Suefusa Japan
Dongkoo Shon South Korea
Paulo Rogério Scalassara Brazil View profile →
Citations per field, relative to Malika Boudraa
Malika Boudraa · 1×
Citations per year, relative to Malika Boudraa
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Countries citing papers authored by Malika Boudraa

Since Specialization
Citations

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

Fields of papers citing papers by Malika Boudraa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malika Boudraa

This figure shows the co-authorship network connecting the top 25 collaborators of Malika Boudraa. A scholar is included among the top collaborators of Malika Boudraa 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 Malika Boudraa. Malika Boudraa 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 39
3 30
4 1
5 1
6 1
7 1
8 0
9 45
10 61
11 8
12 3
13 7
14 43
15
Defects Clustering using Kohonen Networks during Ultrasonic Inspection
7
16 1
17 11
18 8
19 46
20
Application of the MLVQ1 in speaker identification.
6

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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