Asmaa Benghabrit

485 total citations
27 papers, 258 citations indexed

About

Asmaa Benghabrit is a scholar working on Artificial Intelligence, Strategy and Management and Information Systems. According to data from OpenAlex, Asmaa Benghabrit has authored 27 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Strategy and Management and 7 papers in Information Systems. Recurrent topics in Asmaa Benghabrit's work include Text and Document Classification Technologies (7 papers), Product Development and Customization (5 papers) and Sustainable Supply Chain Management (5 papers). Asmaa Benghabrit is often cited by papers focused on Text and Document Classification Technologies (7 papers), Product Development and Customization (5 papers) and Sustainable Supply Chain Management (5 papers). Asmaa Benghabrit collaborates with scholars based in Morocco, France and Australia. Asmaa Benghabrit's co-authors include Imane Bouhaddou, Abla Chaouni Benabdellah, El Moukhtar Zemmouri, Anass Cherrafi, Bouchra Frikh, Brahim Ouhbi, Sunil Tiwari, Pankaj Sharma, Nadia Hamani and Kamar Zekhnini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Sustainability.

In The Last Decade

Asmaa Benghabrit

27 papers receiving 248 citations

Peers

Asmaa Benghabrit
Asmaa Benghabrit
Citations per year, relative to Asmaa Benghabrit Asmaa Benghabrit (= 1×) peers Sébastien Truptil

Countries citing papers authored by Asmaa Benghabrit

Since Specialization
Citations

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

Fields of papers citing papers by Asmaa Benghabrit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asmaa Benghabrit

This figure shows the co-authorship network connecting the top 25 collaborators of Asmaa Benghabrit. A scholar is included among the top collaborators of Asmaa Benghabrit 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 Asmaa Benghabrit. Asmaa Benghabrit 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.
Cherrafi, Anass, et al.. (2025). A deep learning approach for cost-effective and environmentally sustainable waste transportation systems in developing countries. Journal of Cleaner Production. 501. 145314–145314. 2 indexed citations
3.
Benghabrit, Asmaa, et al.. (2024). Application of machine learning techniques for ambulance coverage prediction. 1–8. 2 indexed citations
4.
Cherrafi, Anass, et al.. (2023). The adoption of I4.0 technologies for a sustainable and circular supply chain: an industry‐based SEM analysis from the textile sector. Business Strategy and the Environment. 33(4). 2949–2968. 18 indexed citations
6.
7.
Benabdellah, Abla Chaouni, Kamar Zekhnini, Imane Bouhaddou, & Asmaa Benghabrit. (2021). An information system for the evaluation and capitalization of the product development knowledge. SPIRE - Sciences Po Institutional REpository. 96. 107–113. 1 indexed citations
8.
Benabdellah, Abla Chaouni, et al.. (2020). Design for relevance concurrent engineering approach: integration of IATF 16949 requirements and design for X techniques. Research in Engineering Design. 31(3). 323–351. 17 indexed citations
9.
Benabdellah, Abla Chaouni, Asmaa Benghabrit, & Imane Bouhaddou. (2020). Complexity drivers in engineering design. Journal of Engineering Design and Technology. 18(6). 1663–1690. 9 indexed citations
10.
Benghabrit, Asmaa, et al.. (2020). RDF graph mining for cluster-based theme identification. International Journal of Web Information Systems. 16(2). 223–247. 3 indexed citations
11.
Benabdellah, Abla Chaouni, et al.. (2019). A systematic review of design for X techniques from 1980 to 2018: concepts, applications, and perspectives. The International Journal of Advanced Manufacturing Technology. 102(9-12). 3473–3502. 39 indexed citations
12.
Zemmouri, El Moukhtar, et al.. (2019). Feature selection methods for document clustering: a comparative study and a hybrid solution. International Journal of Data Analysis Techniques and Strategies. 11(3). 246–246. 1 indexed citations
13.
Zemmouri, El Moukhtar, et al.. (2018). RDF Data Clustering based on Resource and Predicate Embeddings. 367–373. 1 indexed citations
14.
Bouhaddou, Imane, et al.. (2018). Is Supply Chain a complex system?. SHILAP Revista de lepidopterología. 200. 18–18. 3 indexed citations
15.
Zemmouri, El Moukhtar, et al.. (2018). Graph Embeddings for Linked Data Clustering. 122–128. 1 indexed citations
16.
Frikh, Bouchra, et al.. (2018). Recommendation using a clustering algorithm based on a hybrid features selection method. Journal of Intelligent Information Systems. 51(1). 183–205. 9 indexed citations
17.
Benabdellah, Abla Chaouni, Asmaa Benghabrit, Imane Bouhaddou, & El Moukhtar Zemmouri. (2016). Big data for supply chain management: Opportunities and challenges. 1–6. 20 indexed citations
18.
Benghabrit, Asmaa, et al.. (2014). A hybrid feature selection algorithm for web document clustering. 5. 216–222. 1 indexed citations
19.
Benghabrit, Asmaa, et al.. (2013). Text clustering using statistical and semantic data. 20. 1–6. 7 indexed citations
20.
Benghabrit, Asmaa, et al.. (2013). Text Document Clustering with Hybrid Feature Selection. 7. 600–604. 5 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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