Aïcha Sekhari

906 total citations
43 papers, 499 citations indexed

About

Aïcha Sekhari is a scholar working on Artificial Intelligence, Management Science and Operations Research and Plant Science. According to data from OpenAlex, Aïcha Sekhari has authored 43 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 6 papers in Plant Science. Recurrent topics in Aïcha Sekhari's work include Multi-Criteria Decision Making (7 papers), Smart Agriculture and AI (5 papers) and Artificial Intelligence in Healthcare (4 papers). Aïcha Sekhari is often cited by papers focused on Multi-Criteria Decision Making (7 papers), Smart Agriculture and AI (5 papers) and Artificial Intelligence in Healthcare (4 papers). Aïcha Sekhari collaborates with scholars based in France, China and Qatar. Aïcha Sekhari's co-authors include Yacine Ouzrout, Abdelaziz Bouras, Hai-Qing Zhang, Ali Hassan Sodhro, Suiran Yu, Tao Wang, Pradorn Sureephong, Haiqing Zhang, Aurélie Charles and Abdelhak Belhi and has published in prestigious journals such as Expert Systems with Applications, Sustainability and IEEE Transactions on Industrial Informatics.

In The Last Decade

Aïcha Sekhari

38 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aïcha Sekhari France 14 90 75 72 69 66 43 499
Yacine Ouzrout France 12 94 1.0× 81 1.1× 110 1.5× 60 0.9× 48 0.7× 46 529
Ting He China 12 60 0.7× 93 1.2× 41 0.6× 72 1.0× 120 1.8× 48 509
Raman Kumar Goyal India 9 72 0.8× 95 1.3× 82 1.1× 107 1.6× 53 0.8× 17 533
Ankit Bansal India 16 102 1.1× 35 0.5× 85 1.2× 33 0.5× 65 1.0× 64 722
James T. Luxhøj United States 15 103 1.1× 101 1.3× 30 0.4× 64 0.9× 142 2.2× 92 852
Eissa Jaber Alreshidi Saudi Arabia 8 58 0.6× 32 0.4× 49 0.7× 28 0.4× 180 2.7× 25 514
Ali Najm Jasim Iraq 16 169 1.9× 35 0.5× 128 1.8× 62 0.9× 187 2.8× 23 731
Kwang-Kyu Seo South Korea 12 59 0.7× 93 1.2× 63 0.9× 32 0.5× 84 1.3× 48 600
Abe Zeid United States 11 44 0.5× 70 0.9× 35 0.5× 46 0.7× 29 0.4× 40 565
Paweł Sitek Poland 12 50 0.6× 54 0.7× 56 0.8× 23 0.3× 63 1.0× 49 493

Countries citing papers authored by Aïcha Sekhari

Since Specialization
Citations

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

Fields of papers citing papers by Aïcha Sekhari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aïcha Sekhari

This figure shows the co-authorship network connecting the top 25 collaborators of Aïcha Sekhari. A scholar is included among the top collaborators of Aïcha Sekhari 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 Aïcha Sekhari. Aïcha Sekhari 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.
Zhang, Haiqing, et al.. (2025). A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework. International Journal of Electrical Power & Energy Systems. 169. 110660–110660. 2 indexed citations
2.
Moyaux, Thierry, et al.. (2025). Enhancing failure prediction in nuclear industry: Hybridization of knowledge- and data-driven techniques. Computers & Industrial Engineering. 209. 111387–111387.
3.
Sekhari, Aïcha, et al.. (2024). A new mobile diagnosis system for estimation of crop disease severity using deep transfer learning. Crop Protection. 184. 106776–106776. 2 indexed citations
4.
Moalla, Néjib, et al.. (2024). CPAP Adherence Improvement for OSA Patients Through Integrated Feedback Systems. SPIRE - Sciences Po Institutional REpository. 1–8.
5.
Wang, Tao, et al.. (2023). A review on missing values for main challenges and methods. Information Systems. 119. 102268–102268. 41 indexed citations
6.
Sekhari, Aïcha, et al.. (2023). RULE BASED RECOMMENDATION SYSTEM: TO SUPPORT CROP LIFECYCLE MANAGEMENT. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
7.
Sekhari, Aïcha, et al.. (2023). Risk management in the adoption of smart farming technologies by rural farmers. Uncertain Supply Chain Management. 11(2). 533–546. 4 indexed citations
8.
Sekhari, Aïcha, et al.. (2022). Homecare interventions as a Service model for Obstructive sleep Apnea: Delivering personalised phone call using patient profiling and adherence predictions. International Journal of Medical Informatics. 170. 104935–104935. 2 indexed citations
9.
Wang, Tao, et al.. (2022). Missing Values for Classification of Machine Learning in Medical data. SPIRE - Sciences Po Institutional REpository. 101–106.
10.
Sureephong, Pradorn, et al.. (2022). Chatbot Application to Support Smart Agriculture in Thailand. arXiv (Cornell University). 364–367. 12 indexed citations
11.
Sekhari, Aïcha, et al.. (2021). Investigating the Impact of QSE Integration on Process Performances: An Empirical Study in Moroccan Companies. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
12.
Sodhro, Ali Hassan, Noman Zahid, Lei Wang, et al.. (2020). Toward ML-Based Energy-Efficient Mechanism for 6G Enabled Industrial Network in Box Systems. IEEE Transactions on Industrial Informatics. 17(10). 7185–7192. 36 indexed citations
13.
Sureephong, Pradorn, et al.. (2020). Comparison of Smart Agriculture Literacy of Farmers in Thailand. SPIRE - Sciences Po Institutional REpository. 242–245. 8 indexed citations
14.
Sodhro, Ali Hassan, et al.. (2018). Green media-aware medical IoT system. Multimedia Tools and Applications. 78(3). 3045–3064. 32 indexed citations
15.
Mishra, Dharmendra K., et al.. (2018). Traceability as an integral part of supply chain logistics management: an analytical review. arXiv (Cornell University). 5 indexed citations
16.
Sekhari, Aïcha, et al.. (2017). Classification and trends in knowledge research relevance and context for smart farm technology development. SPIRE - Sciences Po Institutional REpository. 6. 1–7. 2 indexed citations
17.
Sekhari, Aïcha, et al.. (2014). A System of Quality, Safety, and Environment Integration based on QFD and Risk Approaches. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
18.
Zhang, Hai-Qing, Aïcha Sekhari, Yacine Ouzrout, & Abdelaziz Bouras. (2014). Optimal Inconsistency Repairing of Pairwise Comparison Matrices Using Integrated Linear Programming and Eigenvector Methods. Mathematical Problems in Engineering. 2014(1). 14 indexed citations
19.
Savino, M. & Aïcha Sekhari. (2009). A quality management system based on fuzzy quality pointers in ISO 9000. International Journal of Product Development. 8(4). 419–419. 13 indexed citations
20.
Sekhari, Aïcha, et al.. (2003). An approach based on fuzzy sets for manufacturing system design. HAL (Le Centre pour la Communication Scientifique Directe). 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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