Khalil Maalmi

420 total citations
14 papers, 243 citations indexed

About

Khalil Maalmi is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Khalil Maalmi has authored 14 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Health Information Management and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Khalil Maalmi's work include Artificial Intelligence in Healthcare (6 papers), Data Stream Mining Techniques (4 papers) and Optical measurement and interference techniques (3 papers). Khalil Maalmi is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), Data Stream Mining Techniques (4 papers) and Optical measurement and interference techniques (3 papers). Khalil Maalmi collaborates with scholars based in Morocco, France and Canada. Khalil Maalmi's co-authors include Rachid Benslimane, Hasnae Benkirane, Patrick Gorria and Robert Avram and has published in prestigious journals such as Pattern Recognition Letters, Multimedia Tools and Applications and Journal Of Big Data.

In The Last Decade

Khalil Maalmi

14 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalil Maalmi Morocco 9 127 95 39 32 26 14 243
Abdul Wahab Muzaffar Pakistan 10 107 0.8× 73 0.8× 49 1.3× 56 1.8× 20 0.8× 33 314
K. Saruladha India 8 127 1.0× 68 0.7× 38 1.0× 50 1.6× 31 1.2× 26 249
Bader Fahad Alkhamees Saudi Arabia 9 129 1.0× 76 0.8× 36 0.9× 34 1.1× 47 1.8× 20 274
Manoranjan Parhi India 10 86 0.7× 69 0.7× 65 1.7× 58 1.8× 32 1.2× 36 226
Tsehay Admassu Assegie Ethiopia 12 203 1.6× 154 1.6× 60 1.5× 55 1.7× 52 2.0× 48 434
Ali Samad Pakistan 8 96 0.8× 103 1.1× 21 0.5× 38 1.2× 42 1.6× 19 263
Thulasi Bikku India 8 115 0.9× 48 0.5× 27 0.7× 30 0.9× 26 1.0× 42 244
Mohammed Amine Chikh Algeria 10 138 1.1× 36 0.4× 32 0.8× 60 1.9× 46 1.8× 34 279
Abhilash Pati India 11 129 1.0× 110 1.2× 58 1.5× 30 0.9× 57 2.2× 52 309
Sallauddin Mohmmad India 7 51 0.4× 53 0.6× 42 1.1× 44 1.4× 19 0.7× 37 221

Countries citing papers authored by Khalil Maalmi

Since Specialization
Citations

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

Fields of papers citing papers by Khalil Maalmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalil Maalmi

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

All Works

14 of 14 papers shown
1.
Avram, Robert, et al.. (2024). Enhancing chest X-ray diagnosis with text-to-image generation: A data augmentation case study. Displays. 83. 102735–102735. 1 indexed citations
2.
Maalmi, Khalil, et al.. (2023). The effectiveness of T5, GPT-2, and BERT on text-to-image generation task. Pattern Recognition Letters. 173. 57–63. 15 indexed citations
3.
Maalmi, Khalil, et al.. (2023). A scalable and real-time system for disease prediction using big data processing. Multimedia Tools and Applications. 82(20). 30405–30434. 8 indexed citations
4.
Maalmi, Khalil, et al.. (2022). AraBERT and DF-GAN fusion for Arabic text-to-image generation. Array. 16. 100260–100260. 8 indexed citations
5.
Maalmi, Khalil, et al.. (2020). Reаl-time heаrt diseаse detection аnd monitoring system bаsed on fаst mаchine leаrning using Spаrk. Health and Technology. 10(5). 1145–1154. 3 indexed citations
6.
Maalmi, Khalil, et al.. (2020). Breast cancer classification with reduced feature set using association rules and support vector machine. Network Modeling Analysis in Health Informatics and Bioinformatics. 9(1). 40 indexed citations
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8.
Maalmi, Khalil, et al.. (2019). Real-time machine learning for early detection of heart disease using big data approach. 1–5. 52 indexed citations
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11.
Maalmi, Khalil, et al.. (2009). Towards automatic analysis of ultrasonic time-of-flight diffraction data using genetic-based Inverse Hough Transform. Insight - Non-Destructive Testing and Condition Monitoring. 51(4). 184–191. 6 indexed citations
12.
Maalmi, Khalil, et al.. (2003). Crack defect detection and localization using genetic-based inverse voting Hough transform. 3. 257–260. 4 indexed citations
13.
Maalmi, Khalil, et al.. (2002). Detecting parabolas in ultrasound B-scan images with Genetic-Based Inverse Voting Hough Transform. IEEE International Conference on Acoustics Speech and Signal Processing. IV–3337. 5 indexed citations
14.
Benkirane, Hasnae, et al.. (2000). Hierarchical fuzzy partition for pattern classification with fuzzy if-then rules. Pattern Recognition Letters. 21(6-7). 503–509. 16 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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2026