Hamid Hrimech

450 total citations
35 papers, 245 citations indexed

About

Hamid Hrimech is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hamid Hrimech has authored 35 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Oncology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hamid Hrimech's work include Cutaneous Melanoma Detection and Management (7 papers), Smart Agriculture and AI (6 papers) and AI in cancer detection (4 papers). Hamid Hrimech is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), Smart Agriculture and AI (6 papers) and AI in cancer detection (4 papers). Hamid Hrimech collaborates with scholars based in Morocco, France and United Kingdom. Hamid Hrimech's co-authors include Mohamed Lachgar, Ali Kartit, Frédéric Mérienne, Boujemâa Achchab, Leila Alem, Mohamed Hanine, Imran Ashraf and Santos Gràcia Villar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Cancer.

In The Last Decade

Hamid Hrimech

31 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Hrimech Morocco 10 51 47 44 32 28 35 245
M Sakthimohan India 12 55 1.1× 33 0.7× 54 1.2× 56 1.8× 53 333
Mohib Ullah Pakistan 11 52 1.0× 35 0.7× 175 4.0× 107 3.3× 3 0.1× 47 374
Poonam Dhiman India 8 249 4.9× 20 0.4× 65 1.5× 66 2.1× 3 0.1× 14 498
Novanto Yudistira Indonesia 11 43 0.8× 34 0.7× 104 2.4× 105 3.3× 7 0.3× 64 306
Reza Fuad Rachmadi Indonesia 9 18 0.4× 15 0.3× 59 1.3× 123 3.8× 77 266
Abhinav Juneja India 10 14 0.3× 24 0.5× 61 1.4× 35 1.1× 23 225
Rarasmaya Indraswari Indonesia 11 20 0.4× 66 1.4× 121 2.8× 80 2.5× 6 0.2× 41 395
Paola Ariza-Colpas Colombia 11 21 0.4× 16 0.3× 62 1.4× 163 5.1× 2 0.1× 26 339
Esa Prakasa Indonesia 8 24 0.5× 13 0.3× 25 0.6× 76 2.4× 2 0.1× 47 242
Milan Tripathi Nepal 5 26 0.5× 28 0.6× 78 1.8× 86 2.7× 3 0.1× 7 248

Countries citing papers authored by Hamid Hrimech

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Hrimech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Hrimech

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Hrimech. A scholar is included among the top collaborators of Hamid Hrimech 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 Hamid Hrimech. Hamid Hrimech 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.
Hrimech, Hamid, et al.. (2025). Attention-guided multimodal skin disease classification using discounted Dempster–Shafer fusion and EfficientNet. Informatics in Medicine Unlocked. 58. 101699–101699.
2.
Lachgar, Mohamed, et al.. (2024). BlockSupply: Blockchain-based logistics traceability solution. Software Impacts. 21. 100666–100666. 1 indexed citations
3.
Lachgar, Mohamed, et al.. (2024). Version [1.1.0]- [DLDiagnosis: A mobile and web application for diseases classification using Deep Learning]. SoftwareX. 26. 101745–101745. 1 indexed citations
4.
Lachgar, Mohamed, et al.. (2024). Blockchain, IoT and AI in logistics and transportation: A systematic review. SHILAP Revista de lepidopterología. 2. 275–285. 16 indexed citations
5.
Hrimech, Hamid, et al.. (2024). Skin Diseases Classification with Machine Learning and Deep Learning Techniques: A Systematic Review. International Journal of Advanced Computer Science and Applications. 15(10). 2 indexed citations
6.
7.
Lachgar, Mohamed, et al.. (2024). SkinHealthMate app: An AI-powered digital platform for skin disease diagnosis. SHILAP Revista de lepidopterología. 6. 200166–200166. 4 indexed citations
8.
Lachgar, Mohamed, et al.. (2024). Multimodal data fusion techniques in smart healthcare. 1–6. 1 indexed citations
9.
Hrimech, Hamid, et al.. (2024). Hybrid Model with Wavelet Decomposition and EfficientNet for Accurate Skin Cancer Classification. Journal of Cancer. 16(2). 506–520. 2 indexed citations
10.
Lachgar, Mohamed, et al.. (2024). Holistic approach for selecting chatbot development tools: combining AHP and TOPSIS methodologies. RePEc: Research Papers in Economics. 8(1). 1–23. 1 indexed citations
11.
Lachgar, Mohamed, et al.. (2023). DLDiagnosis: A mobile and web application for diseases classification using Deep Learning. SoftwareX. 23. 101488–101488. 2 indexed citations
12.
Lachgar, Mohamed, et al.. (2023). Machine Learning Techniques in Keratoconus Classification: A Systematic Review. International Journal of Advanced Computer Science and Applications. 14(5). 3 indexed citations
13.
Lachgar, Mohamed, et al.. (2023). AIDSII: An AI-based digital system for intelligent irrigation. Software Impacts. 17. 100574–100574. 10 indexed citations
14.
Lachgar, Mohamed, et al.. (2023). Optimizing olive disease classification through transfer learning with unmanned aerial vehicle imagery. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(1). 891–891. 4 indexed citations
15.
Hrimech, Hamid, et al.. (2023). Machine learning for real-time prediction of complications induced by flexible uretero-renoscopy with laser lithotripsy. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(1). 971–971. 1 indexed citations
16.
Lachgar, Mohamed, et al.. (2023). Unmanned Aerial Vehicle-based Applications in Smart Farming: A Systematic Review. International Journal of Advanced Computer Science and Applications. 14(6). 23 indexed citations
17.
Lachgar, Mohamed, et al.. (2022). Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification. Artificial Intelligence in Agriculture. 6. 77–89. 31 indexed citations
18.
Lachgar, Mohamed, et al.. (2021). Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms. Computational and Mathematical Methods in Medicine. 2021. 1–26. 29 indexed citations
19.
Hrimech, Hamid, et al.. (2016). The Effects of the Use of Serious Game in Eco-Driving Training. SAM, the Arts et Métiers ParisTech open access repository (Paris Institute of Technology). 3. 4 indexed citations
20.
Hrimech, Hamid & Frédéric Mérienne. (2010). Interaction and evaluation tools for collaborative virtual environment. International Journal on Interactive Design and Manufacturing (IJIDeM). 4(3). 149–156. 12 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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