Fakhri Karray

8.5k total citations · 4 hit papers
205 papers, 5.1k citations indexed

About

Fakhri Karray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Fakhri Karray has authored 205 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 52 papers in Computer Vision and Pattern Recognition and 26 papers in Control and Systems Engineering. Recurrent topics in Fakhri Karray's work include Neural Networks and Applications (15 papers), Fuzzy Logic and Control Systems (14 papers) and Face and Expression Recognition (13 papers). Fakhri Karray is often cited by papers focused on Neural Networks and Applications (15 papers), Fuzzy Logic and Control Systems (14 papers) and Face and Expression Recognition (13 papers). Fakhri Karray collaborates with scholars based in Canada, United Arab Emirates and Hong Kong. Fakhri Karray's co-authors include Mohamed S. Kamel, Bob Zhang, Ghulam Muhammad, Lei Zhang, K. Ponnambalam, Shady Shehata, S. Jamshid Mousavi, Lin Zhang, Md. Milon Islam and Sheikh Nooruddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Fakhri Karray

195 papers receiving 4.8k citations

Hit Papers

Survey on speech emotion recognition: Features, classific... 2010 2026 2015 2020 2010 2010 2021 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fakhri Karray Canada 32 1.7k 1.4k 1.2k 1.0k 729 205 5.1k
Abdulkadir Şengür Türkiye 52 2.6k 1.6× 1.6k 1.1× 359 0.3× 1.0k 1.0× 1.6k 2.2× 229 8.7k
Elisa Ricci Italy 35 1.7k 1.0× 3.4k 2.4× 245 0.2× 223 0.2× 827 1.1× 163 5.2k
Yingli Tian United States 48 2.4k 1.4× 8.3k 5.9× 2.2k 1.8× 719 0.7× 383 0.5× 203 11.4k
D. Jude Hemanth India 34 1.6k 0.9× 1.5k 1.1× 248 0.2× 188 0.2× 1.0k 1.4× 219 5.0k
Ashish Khanna India 38 1.7k 1.0× 1.0k 0.7× 102 0.1× 335 0.3× 1.4k 1.9× 179 5.7k
Jamil Ahmad Pakistan 29 919 0.5× 2.1k 1.5× 301 0.2× 467 0.5× 131 0.2× 109 4.1k
Clinton Fookes Australia 41 1.5k 0.9× 3.1k 2.2× 293 0.2× 1.0k 1.0× 210 0.3× 318 5.6k
Hasan Demirel Cyprus 34 609 0.4× 2.8k 2.0× 397 0.3× 379 0.4× 397 0.5× 174 4.6k
Guiguang Ding China 51 4.6k 2.8× 7.5k 5.4× 406 0.3× 504 0.5× 481 0.7× 187 11.8k
Munish Kumar India 38 1.2k 0.7× 2.9k 2.1× 185 0.2× 649 0.6× 357 0.5× 197 5.6k

Countries citing papers authored by Fakhri Karray

Since Specialization
Citations

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

Fields of papers citing papers by Fakhri Karray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fakhri Karray

This figure shows the co-authorship network connecting the top 25 collaborators of Fakhri Karray. A scholar is included among the top collaborators of Fakhri Karray 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 Fakhri Karray. Fakhri Karray 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.
Islam, Md. Milon, Fakhri Karray, & Ghulam Muhammad. (2025). MSF-Net: Multi-stage fusion network for emotion recognition from multimodal signals in scalable healthcare. Information Fusion. 119. 103028–103028. 1 indexed citations
2.
Ahmad, Jamil, Wail Gueaieb, Abdulmotaleb El Saddik, G. Masi, & Fakhri Karray. (2024). Yield estimation and health assessment of temperate fruits: A modular framework. Engineering Applications of Artificial Intelligence. 136. 108871–108871. 3 indexed citations
4.
Islam, Md. Milon, Sheikh Nooruddin, Fakhri Karray, & Ghulam Muhammad. (2023). Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things. Information Fusion. 94. 17–31. 114 indexed citations breakdown →
5.
Abdar, Moloud, Fatemeh Safara, Seyedali Mirjalili, et al.. (2023). Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Applied Soft Computing. 151. 111141–111141. 12 indexed citations
6.
Karray, Fakhri, et al.. (2023). A study of the interactive role of metamorphic testing and machine learning in the quality assurance of a deep learning forecasting application. International Journal of Information Technology. 16(1). 105–120. 7 indexed citations
7.
Abdar, Moloud, Soorena Salari, Hak‐Keung Lam, et al.. (2022). UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Information Fusion. 90. 364–381. 76 indexed citations
8.
Karray, Fakhri, et al.. (2022). Transfer Learning Framework for Forecasting Fresh Produce Yield and Price. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations
9.
Ghojogh, Benyamin, Fakhri Karray, & Mark Crowley. (2021). Quantile–Quantile Embedding for distribution transformation and manifold embedding with ability to choose the embedding distribution. SHILAP Revista de lepidopterología. 6. 100088–100088. 1 indexed citations
10.
Ghojogh, Benyamin, Ali Ghodsi, Fakhri Karray, & Mark Crowley. (2021). Generative locally linear embedding: A module for manifold unfolding and visualization. Software Impacts. 9. 100105–100105. 2 indexed citations
11.
12.
Ghojogh, Benyamin, et al.. (2019). Feature Selection and Feature Extraction in Pattern Analysis: A\n Literature Review. arXiv (Cornell University). 51 indexed citations
13.
Kamel, Mohamed S., et al.. (2016). EBEK: exemplar-based kernel preserving embedding. International Joint Conference on Artificial Intelligence. 1441–1447. 3 indexed citations
14.
Khaleghi, Bahador, et al.. (2013). Soft-Data-Constrained Multi-Model Particle Filter for agile target tracking. International Conference on Information Fusion. 564–571. 8 indexed citations
15.
Golestan, Keyvan, Fakhri Karray, & Mohamed S. Kamel. (2013). High level information fusion through a fuzzy extension to Multi-Entity Bayesian Networks in Vehicular Ad-hoc Networks. International Conference on Information Fusion. 1180–1187. 6 indexed citations
16.
Begum, Momotaz, Fakhri Karray, George K. I. Mann, & Raymond G. Gosine. (2010). A Probabilistic Model of Overt Visual Attention for Cognitive Robots. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(5). 1305–1318. 21 indexed citations
17.
Zhang, Bob, Jane You, Fakhri Karray, Chea‐su Kee, & Qin Li. (2009). Astigmatism and eye shape. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 72–77. 1 indexed citations
18.
Basir, Otman, Fakhri Karray, & Hui Zhu. (2005). Connectionist-Based Dempster–Shafer Evidential Reasoning for Data Fusion. IEEE Transactions on Neural Networks. 16(6). 1513–1530. 37 indexed citations
19.
Karray, Fakhri & Clarence W. de Silva. (2004). Soft Computing and Tools of Intelligent Systems Design: Theory and Applications. 57(2). 195–210. 85 indexed citations
20.
Karray, Fakhri, et al.. (2000). A global optimization approach using genetic algorithms with zooming. Systems Analysis Modelling Simulation. 37(3). 397–406.

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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