Rachid Hedjam

1.2k total citations
51 papers, 763 citations indexed

About

Rachid Hedjam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Rachid Hedjam has authored 51 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 14 papers in Media Technology. Recurrent topics in Rachid Hedjam's work include Image Retrieval and Classification Techniques (14 papers), Handwritten Text Recognition Techniques (13 papers) and Remote-Sensing Image Classification (10 papers). Rachid Hedjam is often cited by papers focused on Image Retrieval and Classification Techniques (14 papers), Handwritten Text Recognition Techniques (13 papers) and Remote-Sensing Image Classification (10 papers). Rachid Hedjam collaborates with scholars based in Canada, Oman and Algeria. Rachid Hedjam's co-authors include Mohamed Cheriet, Hossein Ziaei Nafchi, Reza Farrahi Moghaddam, Abdelhamid Abdesselam, Margaret Kalácska, Farid Melgani, Max Mignotte, Saeid Nahavandi, Seyed Mohammad Jafar Jalali and Abbas Khosravi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Rachid Hedjam

49 papers receiving 718 citations

Peers

Rachid Hedjam
Rachid Hedjam
Citations per year, relative to Rachid Hedjam Rachid Hedjam (= 1×) peers Wen-Sheng Chen

Countries citing papers authored by Rachid Hedjam

Since Specialization
Citations

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

Fields of papers citing papers by Rachid Hedjam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachid Hedjam

This figure shows the co-authorship network connecting the top 25 collaborators of Rachid Hedjam. A scholar is included among the top collaborators of Rachid Hedjam 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 Rachid Hedjam. Rachid Hedjam 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.
Belhaouari, Samir Brahim, et al.. (2025). t-SNE-PSO: Optimizing t-SNE using particle swarm optimization. Expert Systems with Applications. 269. 126398–126398. 7 indexed citations
2.
Hedjam, Rachid, et al.. (2025). Exploring non-negativity for improved manifold embedding: Application to t-SNE. Knowledge-Based Systems. 330. 114547–114547.
3.
Zhai, Xiaotong, Shu Li, Guoqiang Zhong, et al.. (2025). Generative neural architecture search. Neurocomputing. 642. 130360–130360. 1 indexed citations
4.
Kherfi, Mohammed Lamine, et al.. (2024). Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study. Digital Signal Processing. 153. 104637–104637. 1 indexed citations
5.
Abdesselam, Abdelhamid, et al.. (2024). Combining a forward supervised filter learning with a sparse NMF for breast cancer histopathological image classification. Intelligence-Based Medicine. 10. 100174–100174. 1 indexed citations
6.
Touzene, Abderezak, et al.. (2023). Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks. Journal of Sensor and Actuator Networks. 12(2). 21–21. 27 indexed citations
8.
Hedjam, Rachid, et al.. (2022). A Hybrid Metaheuristic and Deep Learning Approach for Change Detection in Remote Sensing Data. SHILAP Revista de lepidopterología. 12(5). 9351–9356. 4 indexed citations
9.
Jalali, Seyed Mohammad Jafar, Milad Ahmadian, Sajad Ahmadian, et al.. (2022). X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Systems with Applications. 201. 116942–116942. 38 indexed citations
10.
Abdesselam, Abdelhamid, Rachid Hedjam, Aliya Al-Ansari, et al.. (2021). Estimate of the HOMA-IR Cut-off Value Identifying Subjects at Risk of Insulin Resistance Using a Machine Learning Approach. Sultan Qaboos University medical journal. 21(4). 604–612. 17 indexed citations
11.
Hedjam, Rachid, et al.. (2021). Using Machine Learning in Business Process Re-Engineering. Big Data and Cognitive Computing. 5(4). 61–61. 28 indexed citations
12.
Ghoggali, Noureddine, et al.. (2021). Genetic robust kernel sample selection for chemometric data analysis. Journal of Chemometrics. 35(6). 1 indexed citations
13.
Hedjam, Rachid, et al.. (2020). Fast Binary Network Intrusion Detection based on Matched Filter Optimization. 195–199. 4 indexed citations
14.
Jalali, Seyed Mohammad Jafar, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, & Saeid Nahavandi. (2019). Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm. 1221–1226. 23 indexed citations
15.
Chibani, Youcef, et al.. (2018). Gabor filter-based texture for ancient degraded document image binarization. Pattern Analysis and Applications. 22(1). 1–22. 18 indexed citations
16.
Hedjam, Rachid, et al.. (2017). Statistical-based method to determine the best hour of the day regarding GHG emissions for a smart home appliance. PolyPublie (École Polytechnique de Montréal). 1–8. 1 indexed citations
17.
Nafchi, Hossein Ziaei, et al.. (2016). Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator. IEEE Access. 4. 5579–5590. 113 indexed citations
18.
Hedjam, Rachid, Hossein Ziaei Nafchi, Margaret Kalácska, & Mohamed Cheriet. (2015). Influence of Color-to-Gray Conversion on the Performance of Document Image Binarization: Toward a Novel Optimization Problem. IEEE Transactions on Image Processing. 24(11). 3637–3651. 20 indexed citations
19.
Hedjam, Rachid & Mohamed Cheriet. (2011). Combining statistical and geometrical classifiers for text extraction in multispectral document images. 98–105. 4 indexed citations
20.
Hedjam, Rachid, Reza Farrahi Moghaddam, & Mohamed Cheriet. (2011). A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images. Pattern Recognition. 44(9). 2184–2196. 47 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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