Hiba Chougrad

740 total citations · 1 hit paper
15 papers, 483 citations indexed

About

Hiba Chougrad is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hiba Chougrad has authored 15 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hiba Chougrad's work include Machine Learning in Materials Science (3 papers), AI in cancer detection (3 papers) and Image Retrieval and Classification Techniques (3 papers). Hiba Chougrad is often cited by papers focused on Machine Learning in Materials Science (3 papers), AI in cancer detection (3 papers) and Image Retrieval and Classification Techniques (3 papers). Hiba Chougrad collaborates with scholars based in Morocco and Belgium. Hiba Chougrad's co-authors include Hamid Zouaki, Abdellah Touhafi and M. Jorio and has published in prestigious journals such as Neurocomputing, Neural Networks and Knowledge-Based Systems.

In The Last Decade

Hiba Chougrad

11 papers receiving 466 citations

Hit Papers

Deep Convolutional Neural... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiba Chougrad Morocco 7 353 268 99 70 42 15 483
Hamid Zouaki Morocco 6 353 1.0× 269 1.0× 108 1.1× 70 1.0× 42 1.0× 18 489
Enas M. F. El Houby Egypt 11 347 1.0× 270 1.0× 111 1.1× 73 1.0× 32 0.8× 17 509
Christoph Baur Germany 5 322 0.9× 197 0.7× 143 1.4× 52 0.7× 24 0.6× 8 458
Nisreen I. R. Yassin Egypt 6 278 0.8× 229 0.9× 155 1.6× 68 1.0× 26 0.6× 12 431
Xiaofeng Qi China 8 408 1.2× 261 1.0× 113 1.1× 49 0.7× 19 0.5× 15 560
Mo Li China 5 336 1.0× 226 0.8× 147 1.5× 103 1.5× 17 0.4× 24 457
Erdal Taşçı Türkiye 11 197 0.6× 182 0.7× 85 0.9× 47 0.7× 88 2.1× 39 532
Caleb Richter United States 6 356 1.0× 334 1.2× 98 1.0× 61 0.9× 96 2.3× 9 498
Shaimaa Omran Egypt 8 230 0.7× 188 0.7× 54 0.5× 51 0.7× 24 0.6× 13 384

Countries citing papers authored by Hiba Chougrad

Since Specialization
Citations

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

Fields of papers citing papers by Hiba Chougrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiba Chougrad

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

All Works

15 of 15 papers shown
2.
Chougrad, Hiba, et al.. (2025). Ensemble deep learning models for respiratory disease detection using cough analysis. Journal of Engineering Research. 14(1). 820–835.
3.
Chougrad, Hiba, et al.. (2023). Deep multi-agent fusion Q-Network for graph generation. Knowledge-Based Systems. 269. 110509–110509. 3 indexed citations
4.
Chougrad, Hiba, et al.. (2023). Actor-Critic Methods in Stock Trading : A Comparative Study. 1–5.
5.
Chougrad, Hiba, et al.. (2022). Augmented Graph Neural Network with hierarchical global-based residual connections. Neural Networks. 150. 149–166. 17 indexed citations
6.
Chougrad, Hiba, et al.. (2022). Holistic Graph Neural Networks based on a global-based attention mechanism. Knowledge-Based Systems. 240. 108105–108105. 17 indexed citations
7.
Chougrad, Hiba, et al.. (2020). Deep Deterministic Policy Gradient for Portfolio Management. 424–429. 2 indexed citations
8.
Chougrad, Hiba, et al.. (2020). Big Data Processing: Batch-based processing and stream-based processing. 1–6. 10 indexed citations
9.
10.
Chougrad, Hiba, et al.. (2020). Analysis and exploitation of Geospatial Big Data: State of art. 17. 1–6. 1 indexed citations
11.
Chougrad, Hiba, et al.. (2019). Multi-label transfer learning for the early diagnosis of breast cancer. Neurocomputing. 392. 168–180. 84 indexed citations
12.
Chougrad, Hiba, et al.. (2018). Deep Convolutional Neural Networks for breast cancer screening. Computer Methods and Programs in Biomedicine. 157. 19–30. 332 indexed citations breakdown →
13.
Chougrad, Hiba, et al.. (2016). Bag of Features Model Using the New Approaches: A Comprehensive Study. International Journal of Advanced Computer Science and Applications. 7(1). 7 indexed citations
14.
15.
Chougrad, Hiba, et al.. (2015). Soft assignment vs hard assignment coding for bag of visual words. 32. 1–5. 1 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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