Abdellah Madani

639 citations
26 papers · 453 indexed · h-index 11
Topics
Text and Document Classification Technologies (14 papers)Advanced Text Analysis Techniques (11 papers)Sentiment Analysis and Opinion Mining (8 papers)
Partner nations
MoroccoPeruSaudi Arabia

In The Last Decade

Abdellah Madani

24 papers receiving 431 citations

Peers

Abdellah Madani
Comparison fields: 5 of 77
  • Artificial Intelligence 280
  • Information Systems 118
  • Computer Vision and Pattern Recognition 104
  • Experimental and Cognitive Psychology 77
  • Signal Processing 29
Replace Mansur Alp Toçoğlu with:
Mansur Alp Toçoğlu Türkiye
M. L. Dhore India
A.K.M. Muzahidul Islam Bangladesh
Chunhua Wu China
Suphakant Phimoltares Thailand
Muhammed J. A. Patwary Bangladesh
Catur Supriyanto Indonesia
Nataliya Boyko Ukraine
Sherine Rady Egypt
Anders Björkelund Sweden
Abdellah Madani relative to Mansur Alp Toçoğlu Türkiye Mansur Alp Toçoğlu's profile →
Citations per field
00.5×10×16×
Mansur Alp Toçoğlu · 1×
Citations per year

Countries citing papers authored by Abdellah Madani

Since Specialization
Citations

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

Fields of papers citing papers by Abdellah Madani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdellah Madani

This figure shows the co-authorship network connecting the top 25 collaborators of Abdellah Madani. A scholar is included among the top collaborators of Abdellah Madani 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 Abdellah Madani. Abdellah Madani 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
#WorkIndexed citations
1 7
2 1
3 0
4 24
5 5
6 4
7 15
8 27
9 181
10
ARABIC TEXT CLASSIFICATION USING NEW STEMMER FOR FEATURE SELECTION AND DECISION TREES
14
11 2
12 31
13 5
14 4
15 1
16 56
17 10
18 17
19 5
20 13

About Abdellah Madani

Abdellah Madani is a scholar working on Artificial Intelligence, Information Systems and Experimental and Cognitive Psychology, having authored 26 papers that have together received 453 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (14 papers), Advanced Text Analysis Techniques (11 papers) and Sentiment Analysis and Opinion Mining (8 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Experimental and Cognitive Psychology (77 citations) and Information Systems (118 citations). Abdellah Madani has collaborated with scholars based in Morocco, Peru and Saudi Arabia. Frequent co-authors include Mohamed Kissi, Mohammed Al-Sarem, Walid Cherif, Mohamed Rguibi, Khalid Zine-Dine, Najem Moussa and Faissal El Bouanani. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Food Composition and Analysis and Journal of King Saud University - Computer and Information Sciences.

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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