Hanane Allioui

730 total citations · 1 hit paper
16 papers, 396 citations indexed

About

Hanane Allioui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hanane Allioui has authored 16 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Hanane Allioui's work include Brain Tumor Detection and Classification (3 papers), Medical Image Segmentation Techniques (3 papers) and Mathematical Biology Tumor Growth (2 papers). Hanane Allioui is often cited by papers focused on Brain Tumor Detection and Classification (3 papers), Medical Image Segmentation Techniques (3 papers) and Mathematical Biology Tumor Growth (2 papers). Hanane Allioui collaborates with scholars based in Morocco, Iraq and Lithuania. Hanane Allioui's co-authors include Youssef Mourdi, Mohamed Sadgal, Abdelaziz El Fazziki, Rytis Maskeliūnas, Mazin Abed Mohammed, Belal Al‐Khateeb, Karrar Hameed Abdulkareem, Robertas Damaševičius and Begonya García-Zapirain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Multimedia Tools and Applications.

In The Last Decade

Hanane Allioui

16 papers receiving 351 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey

2023 238 citations Hanane Allioui, Youssef Mourdi Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hanane Allioui Morocco	7	89	61	59	55	46	16	396
Karthikeyan Kaliyaperumal Ethiopia	9	125 1.4×	54 0.9×	48 0.8×	38 0.7×	36 0.8×	36	430
Iftikhar Naseer Pakistan	10	184 2.1×	38 0.6×	176 3.0×	47 0.9×	44 1.0×	15	457
Karamath Ateeq United Arab Emirates	6	87 1.0×	44 0.7×	33 0.6×	36 0.7×	18 0.4×	24	275
Priyanka Kaushik India	15	101 1.1×	69 1.1×	45 0.8×	72 1.3×	15 0.3×	46	588
Ayesha Atta Pakistan	8	81 0.9×	50 0.8×	31 0.5×	54 1.0×	14 0.3×	12	350
Ahlam Almusharraf Saudi Arabia	12	84 0.9×	50 0.8×	46 0.8×	48 0.9×	54 1.2×	44	388
Ihab Zaqout Palestinian Territory	11	269 3.0×	52 0.9×	72 1.2×	29 0.5×	48 1.0×	23	466
Ioannis Karamitsos United Arab Emirates	10	94 1.1×	245 4.0×	71 1.2×	79 1.4×	21 0.5×	43	518
Faheem Ahmad Reegu Saudi Arabia	14	85 1.0×	148 2.4×	41 0.7×	81 1.5×	32 0.7×	38	462
Hamzah Ali Alkhazaleh United Arab Emirates	12	72 0.8×	32 0.5×	22 0.4×	25 0.5×	30 0.7×	28	271

Countries citing papers authored by Hanane Allioui

Since Specialization

Citations

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

Fields of papers citing papers by Hanane Allioui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanane Allioui

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

All Works

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16 of 16 papers shown

Allioui, Hanane, et al.. (2024). Navigating transformation: unveiling the synergy of IoT, multimedia trends, and AI for sustainable financial growth in African context. Multimedia Tools and Applications. 84(9). 6473–6517. 1 indexed citations

Allioui, Hanane, et al.. (2024). Maintaining effective logistics management during and after COVID‑19 pandemic: survey on the importance of artificial intelligence to enhance recovery strategies. OPSEARCH. 61(2). 918–962. 5 indexed citations

Allioui, Hanane & Youssef Mourdi. (2023). Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey. Sensors. 23(19). 8015–8015. 238 indexed citations breakdown →

Allioui, Hanane, et al.. (2023). A Strong Dynamic Financial Growth of Moroccan Family SMEs: What Feasibility of Artificial Intelligence?. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Allioui, Hanane, Youssef Mourdi, & Mohamed Sadgal. (2022). Strong semantic segmentation for Covid-19 detection: Evaluating the use of deep learning models as a performant tool in radiography. Radiography. 29(1). 109–118. 5 indexed citations

Mourdi, Youssef, et al.. (2022). A recurrent neural networks based framework for at‐risk learners' early prediction and MOOC tutor's decision support. Computer Applications in Engineering Education. 31(2). 270–284. 7 indexed citations

Allioui, Hanane, Mazin Abed Mohammed, Belal Al‐Khateeb, et al.. (2022). A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation. Journal of Personalized Medicine. 12(2). 309–309. 60 indexed citations

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2021). Optimized control for medical image segmentation: improved multi-agent systems agreements using Particle Swarm Optimization. Journal of Ambient Intelligence and Humanized Computing. 12(9). 8867–8885. 14 indexed citations

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2020). Utilization of a convolutional method for Alzheimer disease diagnosis. Machine Vision and Applications. 31(4). 14 indexed citations

10.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2020). An Improved Image Segmentation System: A Cooperative Multi-agent Strategy for 2D/3D Medical Images. SHILAP Revista de lepidopterología. 2 indexed citations

11.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2020). An Improved Image Segmentation System. Journal of Communications Software and Systems. 16(2). 143–155. 3 indexed citations

12.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2020). Intelligent environment for advanced brain imaging: multi-agent system for an automated Alzheimer diagnosis. Evolutionary Intelligence. 14(4). 1523–1538. 3 indexed citations

13.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2020). Advanced brain imaging based on game theory for an automated Alzheimer diagnosis. International Journal of Healthcare Technology and Management. 18(1/2). 1–1. 1 indexed citations

14.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2019). A robust multi-agent Negotiation for advanced Image Segmentation: Design and Implementation. SHILAP Revista de lepidopterología. 22(64). 102–122. 6 indexed citations

15.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2019). Deep MRI Segmentation: A Convolutional Method Applied to Alzheimer Disease Detection. International Journal of Advanced Computer Science and Applications. 10(11). 29 indexed citations

16.

Allioui, Hanane, Mohamed Sadgal, & Abdelaziz El Fazziki. (2016). A cooperative approach for 3D image segmentation. 30. 1–8. 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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