Walid Cherif

446 total citations
25 papers, 298 citations indexed

About

Walid Cherif is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Walid Cherif has authored 25 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Walid Cherif's work include Text and Document Classification Technologies (11 papers), Advanced Text Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Walid Cherif is often cited by papers focused on Text and Document Classification Technologies (11 papers), Advanced Text Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Walid Cherif collaborates with scholars based in Morocco, Yemen and Peru. Walid Cherif's co-authors include Stéphane Cédric Koumetio Tekouabou, Mohamed Kissi, Abdellah Madani, El Arbi Abdellaoui Alaoui, Youssef Ghanou, Abderrahim Beni‐Hssane, Hassan Chaair, Brahim Sallek, Abdel-Hamid M. Emara and Khalid Digua and has published in prestigious journals such as Expert Systems with Applications, Journal of King Saud University - Computer and Information Sciences and Concurrency and Computation Practice and Experience.

In The Last Decade

Walid Cherif

25 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walid Cherif Morocco 8 149 66 60 42 23 25 298
Larbi Hassouni Morocco 9 120 0.8× 65 1.0× 49 0.8× 23 0.5× 36 1.6× 33 311
Patrizia Ribino Italy 8 83 0.6× 37 0.6× 62 1.0× 17 0.4× 24 1.0× 40 252
Sujala D. Shetty United Arab Emirates 10 112 0.8× 22 0.3× 90 1.5× 11 0.3× 34 1.5× 34 275
Jianzhong Qiao China 11 74 0.5× 29 0.4× 43 0.7× 7 0.2× 71 3.1× 47 305
Vinay Kumar Nassa India 12 82 0.6× 14 0.2× 41 0.7× 19 0.5× 38 1.7× 31 306
Qingpeng Cai China 12 155 1.0× 50 0.8× 114 1.9× 5 0.1× 74 3.2× 33 437
Ana I. Torre-Bastida Spain 8 59 0.4× 45 0.7× 58 1.0× 9 0.2× 13 0.6× 28 251
Yueming Ding China 5 111 0.7× 12 0.2× 33 0.6× 12 0.3× 71 3.1× 6 277
Majdi Maabreh Jordan 7 78 0.5× 27 0.4× 58 1.0× 38 0.9× 13 0.6× 20 259
Elham Kariri Saudi Arabia 9 78 0.5× 19 0.3× 36 0.6× 5 0.1× 21 0.9× 29 209

Countries citing papers authored by Walid Cherif

Since Specialization
Citations

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

Fields of papers citing papers by Walid Cherif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walid Cherif

This figure shows the co-authorship network connecting the top 25 collaborators of Walid Cherif. A scholar is included among the top collaborators of Walid Cherif 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 Walid Cherif. Walid Cherif 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
1.
Cherif, Walid, et al.. (2024). Smart Cities and Sustainable Urban Development in Morocco. Ingénierie des systèmes d information. 29(2). 3 indexed citations
2.
Cherif, Walid, et al.. (2023). Application of a hybrid EfficientNet-SVM model to medical image classification. 1–6. 1 indexed citations
3.
Tekouabou, Stéphane Cédric Koumetio, et al.. (2021). Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies. Expert Systems with Applications. 189. 115975–115975. 14 indexed citations
4.
Tekouabou, Stéphane Cédric Koumetio, et al.. (2020). Machine Learning Aprroach for Early Detection of Glaucoma from Visual Fields. 1–5. 3 indexed citations
5.
Cherif, Walid, et al.. (2019). A Combination of Global and Local Features for Brain White Matter Lesion Classification. Pattern Recognition and Image Analysis. 29(3). 486–492. 1 indexed citations
6.
Tekouabou, Stéphane Cédric Koumetio, et al.. (2019). A data modeling approach for classification problems. 2. 1–7. 7 indexed citations
8.
Cherif, Walid, et al.. (2019). Query expansion based on clustering and personalized information retrieval. Progress in Artificial Intelligence. 8(2). 241–251. 7 indexed citations
9.
Cherif, Walid. (2018). Hybrid Reliability-Similarity-Based Approach For Supervised Machine Learning. Zenodo (CERN European Organization for Nuclear Research). 12(3). 170–175. 2 indexed citations
10.
Tekouabou, Stéphane Cédric Koumetio, et al.. (2018). Optimizing the prediction of telemarketing target calls by a classification technique. 85. 1–6. 14 indexed citations
11.
Cherif, Walid. (2018). Optimization of K-NN algorithm by clustering and reliability coefficients: application to breast-cancer diagnosis. Procedia Computer Science. 127. 293–299. 60 indexed citations
13.
Cherif, Walid, Abdellah Madani, & Mohamed Kissi. (2016). A hybrid optimal weighting scheme and machine learning for rendering sentiments in tweets. International Journal of Intelligent Engineering Informatics. 4(3/4). 322–322. 5 indexed citations
14.
Cherif, Walid, Abdellah Madani, & Mohamed Kissi. (2016). A combination of low-level light stemming and support vector machines for the classification of Arabic opinions. 2. 1–5. 4 indexed citations
15.
Kissi, Mohamed, Abdellah Madani, & Walid Cherif. (2016). A hybrid optimal weighting scheme and machine learning for rendering sentiments in tweets. International Journal of Intelligent Engineering Informatics. 4(3/4). 322–322. 1 indexed citations
16.
Cherif, Walid, Abdellah Madani, & Mohamed Kissi. (2015). New rules-based algorithm to improve Arabic stemming accuracy. 3(3/4). 315–315. 10 indexed citations
17.
Cherif, Walid, Abdellah Madani, & Mohamed Kissi. (2015). Towards an Efficient Opinion Measurement in Arabic Comments. Procedia Computer Science. 73. 122–129. 17 indexed citations
18.
Cherif, Walid, et al.. (2015). Support vector machines for modelling phosphocalcic hydroxyapatite by precipitation from a calcium carbonate solution and phosphoric acid solution. Journal of Taibah University for Science. 10(5). 745–754. 5 indexed citations
19.
Cherif, Walid, Abdellah Madani, & Mohamed Kissi. (2014). Integrating effective rules to improve arabic text stemming. 1077–1081. 5 indexed citations
20.
Cherif, Walid, Abdellah Madani, & Mohamed Kissi. (2014). Building a syntactic rules-based stemmer to improve search effectiveness for arabic language. 9. 1–6. 13 indexed citations

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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