Bouchra Frikh

845 total citations
65 papers, 502 citations indexed

About

Bouchra Frikh is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Bouchra Frikh has authored 65 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 28 papers in Information Systems and 17 papers in Management Science and Operations Research. Recurrent topics in Bouchra Frikh's work include Advanced Text Analysis Techniques (12 papers), Semantic Web and Ontologies (11 papers) and Recommender Systems and Techniques (10 papers). Bouchra Frikh is often cited by papers focused on Advanced Text Analysis Techniques (12 papers), Semantic Web and Ontologies (11 papers) and Recommender Systems and Techniques (10 papers). Bouchra Frikh collaborates with scholars based in Morocco, France and Austria. Bouchra Frikh's co-authors include Brahim Ouhbi, Badr Ikken, Iván Palomares, El Moukhtar Zemmouri, Asmaa Benghabrit, Ismaïl Khalil, Hassan Douzi, Abdelaziz Marzak and Samir Bennani and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and Information Sciences.

In The Last Decade

Bouchra Frikh

59 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bouchra Frikh Morocco 12 267 159 140 33 32 65 502
Brahim Ouhbi Morocco 16 299 1.1× 149 0.9× 170 1.2× 37 1.1× 28 0.9× 75 704
Hanmin Jung South Korea 11 278 1.0× 169 1.1× 156 1.1× 23 0.7× 38 1.2× 85 516
Rasha Kashef Canada 13 280 1.0× 180 1.1× 85 0.6× 43 1.3× 52 1.6× 39 555
Gabriel Pui Cheong Fung Hong Kong 13 343 1.3× 121 0.8× 145 1.0× 18 0.5× 77 2.4× 31 602
Edy Portmann Switzerland 11 213 0.8× 89 0.6× 71 0.5× 18 0.5× 31 1.0× 83 436
Szymon Jaroszewicz Poland 14 223 0.8× 188 1.2× 73 0.5× 10 0.3× 29 0.9× 38 601
Yee Ling Boo Australia 7 306 1.1× 136 0.9× 40 0.3× 36 1.1× 58 1.8× 22 522
Yuming Ou Australia 9 351 1.3× 185 1.2× 58 0.4× 78 2.4× 72 2.3× 32 564
Indranil Bose India 8 460 1.7× 132 0.8× 148 1.1× 50 1.5× 56 1.8× 21 824
Pingzhong Tang China 14 206 0.8× 166 1.0× 371 2.6× 50 1.5× 22 0.7× 76 763

Countries citing papers authored by Bouchra Frikh

Since Specialization
Citations

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

Fields of papers citing papers by Bouchra Frikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bouchra Frikh

This figure shows the co-authorship network connecting the top 25 collaborators of Bouchra Frikh. A scholar is included among the top collaborators of Bouchra Frikh 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 Bouchra Frikh. Bouchra Frikh 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.
Ouhbi, Brahim, et al.. (2024). LeaDCD: Leadership concept-based method for community detection in social networks. Information Sciences. 686. 121341–121341.
2.
Ouhbi, Brahim, et al.. (2024). A novel three-phase expansion algorithm for uncovering communities in social networks using local influence and similarity in embedding space. Decision Analytics Journal. 11. 100472–100472. 2 indexed citations
3.
Ouhbi, Brahim, et al.. (2023). Deep Learning-Driven Multi-Criteria Decision-Making for Effective Recommender Systems. International journal of intelligent engineering and systems. 16(5). 612–626. 1 indexed citations
4.
Frikh, Bouchra, et al.. (2023). EXABSUM: a new text summarization approach for generating extractive and abstractive summaries. Journal Of Big Data. 10(1). 12 indexed citations
5.
Ouhbi, Brahim, et al.. (2022). A Deep Autoencoder-Based Hybrid Recommender System. 13(1). 1–19. 3 indexed citations
6.
Frikh, Bouchra, et al.. (2022). HAKE: an Unsupervised Approach to Automatic Keyphrase Extraction for Multiple Domains. Cognitive Computation. 14(2). 852–874. 4 indexed citations
7.
Frikh, Bouchra, et al.. (2020). Rules Extraction and Deep Learning for e-Commerce Fraud Detection. 145–150.
8.
Frikh, Bouchra, et al.. (2019). Assessing reliability of Big Data Knowledge Discovery process. Procedia Computer Science. 148. 30–36. 17 indexed citations
9.
Ouhbi, Brahim, et al.. (2019). A new algorithm for detecting communities in social networks based on content and structure information. International Journal of Web Information Systems. 16(1). 79–93. 7 indexed citations
10.
Frikh, Bouchra, et al.. (2019). Toward Contextual Information Retrieval: A Review And Trends. Procedia Computer Science. 148. 191–200. 13 indexed citations
11.
Frikh, Bouchra, et al.. (2017). DATA INTELLIGENCE IN THE CONTEXT OF BIG DATA: A SURVEY. Journal of Multimedia. 13. 1–27. 6 indexed citations
12.
Ouhbi, Brahim, et al.. (2017). Parallel Markov-based Clustering Strategy for Large-scale Ontology Partitioning. 195–202. 2 indexed citations
13.
Ouhbi, Brahim, et al.. (2016). A hybrid feature selection rule measure and its application to systematic review. 106–114. 4 indexed citations
14.
Ouhbi, Brahim, et al.. (2015). Selection of Optimal Supplier in Supply Chain Using A MultiCriteria Decision Making Method. The Journal of Engineering Research [TJER]. 4(7). 218–222. 1 indexed citations
15.
Frikh, Bouchra, et al.. (2014). Building ontologies: A state of the art, and an application to Finance domain. 409. 223–230. 2 indexed citations
16.
Benghabrit, Asmaa, et al.. (2013). Text clustering using statistical and semantic data. 20. 1–6. 7 indexed citations
17.
Frikh, Bouchra, et al.. (2012). A comparison study of some algorithms in Recommender Systems. 130–135. 7 indexed citations
18.
Frikh, Bouchra, et al.. (2012). A hybrid method for improving the SQD-PageRank algorithm. 3. 231–238. 5 indexed citations
19.
20.
Frikh, Bouchra, et al.. (2011). A NEW METHODOLOGY FOR DOMAIN ONTOLOGY CONSTRUCTION FROM THE WEB. International Journal of Artificial Intelligence Tools. 20(6). 1157–1170. 7 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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