Hanane Ezzikouri

553 total citations · 1 hit paper
9 papers, 366 citations indexed

About

Hanane Ezzikouri is a scholar working on Artificial Intelligence, Information Systems and Safety Research. According to data from OpenAlex, Hanane Ezzikouri has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Safety Research. Recurrent topics in Hanane Ezzikouri's work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Text Readability and Simplification (3 papers). Hanane Ezzikouri is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Text Readability and Simplification (3 papers). Hanane Ezzikouri collaborates with scholars based in Morocco. Hanane Ezzikouri's co-authors include Badr Hssina, A. Merbouha, Mohammed Erritali and Youness Madani and has published in prestigious journals such as Multimedia Tools and Applications, Journal of Ambient Intelligence and Humanized Computing and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Hanane Ezzikouri

9 papers receiving 346 citations

Hit Papers

A comparative study of decision tree ID3 and C4.5 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hanane Ezzikouri Morocco 6 204 108 41 37 37 9 366
Neeraj Bhargava India 7 132 0.6× 80 0.7× 50 1.2× 27 0.7× 62 1.7× 24 365
A. Merbouha Morocco 5 136 0.7× 89 0.8× 42 1.0× 25 0.7× 35 0.9× 8 320
Ritu Bhargava India 3 106 0.5× 65 0.6× 31 0.8× 21 0.6× 55 1.5× 9 288
Rd. Rohmat Saedudin Indonesia 10 127 0.6× 98 0.9× 52 1.3× 18 0.5× 38 1.0× 75 332
Liangjun Yu China 8 278 1.4× 102 0.9× 23 0.6× 27 0.7× 13 0.4× 10 390
Manish Mathuria India 8 124 0.6× 114 1.1× 31 0.8× 22 0.6× 73 2.0× 20 392
Naeem Ahmed Mahoto Pakistan 9 159 0.8× 63 0.6× 32 0.8× 36 1.0× 52 1.4× 35 328
Kaniz Fatema Bangladesh 9 181 0.9× 36 0.3× 35 0.9× 7 0.2× 20 0.5× 31 487
Yogan Jaya Kumar Malaysia 11 352 1.7× 74 0.7× 56 1.4× 4 0.1× 34 0.9× 42 497
Utomo Pujianto Indonesia 12 220 1.1× 185 1.7× 54 1.3× 61 1.6× 17 0.5× 67 528

Countries citing papers authored by Hanane Ezzikouri

Since Specialization
Citations

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

Fields of papers citing papers by Hanane Ezzikouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanane Ezzikouri

This figure shows the co-authorship network connecting the top 25 collaborators of Hanane Ezzikouri. A scholar is included among the top collaborators of Hanane Ezzikouri 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 Hanane Ezzikouri. Hanane Ezzikouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ezzikouri, Hanane, et al.. (2021). Chatbot in Arabic language using seq to seq model. Multimedia Tools and Applications. 81(2). 2859–2871. 18 indexed citations
2.
Erritali, Mohammed, et al.. (2019). Information retrieval system based semantique and big data. Procedia Computer Science. 151. 1108–1113. 7 indexed citations
3.
Ezzikouri, Hanane, et al.. (2019). A New Approach for Calculating Semantic Similarity between Words Using WordNet and Set Theory. Procedia Computer Science. 151. 1261–1265. 16 indexed citations
4.
Madani, Youness, Hanane Ezzikouri, Mohammed Erritali, & Badr Hssina. (2019). Finding optimal pedagogical content in an adaptive e-learning platform using a new recommendation approach and reinforcement learning. Journal of Ambient Intelligence and Humanized Computing. 11(10). 3921–3936. 28 indexed citations
5.
Ezzikouri, Hanane, et al.. (2018). Fuzzy Cross Language Plagiarism Detection (Arabic-English) using WordNet in a Big Data environment. 22–27. 4 indexed citations
6.
Ezzikouri, Hanane, et al.. (2017). Fuzzy-Semantic Similarity for Automatic Multilingual Plagiarism Detection. International Journal of Advanced Computer Science and Applications. 8(9). 3 indexed citations
7.
Ezzikouri, Hanane, et al.. (2016). Semantic Similarity/Relatedness for Cross Language Plagiarism Detection. 98. 372–374. 3 indexed citations
8.
Ezzikouri, Hanane, et al.. (2016). Semantic Similarity/Relatedness for Cross Language Plagiarism Detection. Indonesian Journal of Electrical Engineering and Computer Science. 1(2). 371–371. 8 indexed citations
9.
Hssina, Badr, et al.. (2014). A comparative study of decision tree ID3 and C4.5. International Journal of Advanced Computer Science and Applications. 4(2). 279 indexed citations breakdown →

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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