Fakhri Karray

3.6k citations
139 papers · 2.2k · 1 hit paper · h-index 24

Impact in

Papers in

Fakhri Karray

120 papers receiving 2.1k citations

Fakhri Karray's Hit Papers

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19) 2021 · 231 citations
2310+1+3Years since publication50100150200

Peers

Fakhri Karray
Comparison fields: 5 of 154
  • Health Informatics 77
  • Automotive Engineering 282
  • Artificial Intelligence 637
  • Computer Vision and Pattern Recognition 369
  • Control and Systems Engineering 334
Replace Jafar A. Alzubi with:
Jafar A. Alzubi Jordan
Yilun Lin China
Haoyi Xiong China
Kwok Tai Chui Hong Kong
Chrisina Jayne United Kingdom
Tolga Soyata United States
Yimin Yang China
Itamar Arel United States
Dac‐Nhuong Le Vietnam
Chan Yeob Yeun United Arab Emirates
Fakhri Karray relative to Jafar A. Alzubi Jordan Jafar A. Alzubi's profile →
Citations per field
00.5×10×17×
Jafar A. Alzubi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Fakhri Karray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fakhri Karray Line = papers co-authored together Fakhri Karray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Hit paper breakdown →
2021231
2 2021138
3 2022130
4 2023112
5 2002108
6 2015108
7 200788
8 202282
9 201779
10 199773
11 200250
12 202349
13 202143
14 201140
15 201939
16 201639
17 201039
18 201938
19 201937
20 201437

About Fakhri Karray

Fakhri Karray is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 139 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (16 papers), Neural Networks and Applications (16 papers), Dynamics and Control of Mechanical Systems (13 papers), Robotic Path Planning Algorithms (10 papers), Adaptive Control of Nonlinear Systems (9 papers), Smart Grid Energy Management (8 papers), Advanced Battery Technologies Research (8 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Health Informatics (77 citations), Automotive Engineering (282 citations), Artificial Intelligence (637 citations), Computer Vision and Pattern Recognition (369 citations) and Control and Systems Engineering (334 citations). Fakhri Karray has collaborated with scholars based in Canada, United Arab Emirates and United States. Frequent co-authors include Md. Milon Islam, Moayad Aloqaily, Ehab F. El‐Saadany, E. Akhavan-Rezai, Mostafa F. Shaaban, Jia Zeng, Reda Alhajj, Mohamed S. Kamel, Otman Basir and Mohsen Guizani. Their work appears in journals such as Acta Astronautica, IEEE Access, IEEE Consumer Electronics Magazine, IEEE Network and IEEE Internet of Things Journal.

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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