Mohamed K. Nour

943 total citations
66 papers, 573 citations indexed

About

Mohamed K. Nour is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed K. Nour has authored 66 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed K. Nour's work include AI in cancer detection (9 papers), Network Security and Intrusion Detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Mohamed K. Nour is often cited by papers focused on AI in cancer detection (9 papers), Network Security and Intrusion Detection (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Mohamed K. Nour collaborates with scholars based in Saudi Arabia, Egypt and Pakistan. Mohamed K. Nour's co-authors include Anwer Mustafa Hilal, Lal Hussain, Abdelwahed Motwakel, Mesfer Al Duhayyim, Fahd N. Al‐Wesabi, Abu Sarwar Zamani, Shahzad Ahmad Qureshi, Areej Malibari, Mohammed Rizwanullah and Abdullah Mohamed and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohamed K. Nour

61 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed K. Nour Saudi Arabia 14 205 149 116 104 64 66 573
Marwa Obayya Saudi Arabia 15 283 1.4× 172 1.2× 141 1.2× 191 1.8× 62 1.0× 78 725
Ghulam Ali Pakistan 15 147 0.7× 213 1.4× 95 0.8× 126 1.2× 49 0.8× 42 811
Kamred Udham Singh India 15 165 0.8× 245 1.6× 69 0.6× 111 1.1× 75 1.2× 114 720
Hadeel Alsolai Saudi Arabia 12 199 1.0× 113 0.8× 50 0.4× 105 1.0× 81 1.3× 32 604
J. Samuel Manoharan India 13 214 1.0× 205 1.4× 44 0.4× 127 1.2× 82 1.3× 35 607
Mohamed Youssfi Morocco 13 186 0.9× 133 0.9× 67 0.6× 104 1.0× 129 2.0× 107 652
Mohamed Adnane Mahraz Morocco 15 156 0.8× 287 1.9× 137 1.2× 111 1.1× 25 0.4× 62 581
Meshal Alharbi Saudi Arabia 17 186 0.9× 158 1.1× 101 0.9× 86 0.8× 110 1.7× 70 711
Satya Prakash Sahu India 16 175 0.9× 275 1.8× 49 0.4× 79 0.8× 64 1.0× 48 684
CMAK Zeelan Basha India 14 150 0.7× 157 1.1× 105 0.9× 155 1.5× 51 0.8× 57 606

Countries citing papers authored by Mohamed K. Nour

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed K. Nour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed K. Nour. 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 Mohamed K. Nour. The network helps show where Mohamed K. Nour may publish in the future.

Co-authorship network of co-authors of Mohamed K. Nour

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed K. Nour. A scholar is included among the top collaborators of Mohamed K. Nour 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 Mohamed K. Nour. Mohamed K. Nour 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
2.
Yousif, Adil, Fadwa Alrowais, Mohamed K. Nour, et al.. (2023). Deep Transfer Learning-Enabled Activity Identification and Fall Detection for Disabled People. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 3239–3255. 5 indexed citations
3.
Nour, Mohamed K., Hassan A. Alshamrani, Mesfer Al Duhayyim, et al.. (2023). Gender Identification Using Marginalised Stacked Denoising Autoencoders on Twitter Data. Intelligent Automation & Soft Computing. 36(3). 2529–2544. 1 indexed citations
4.
Aljebreen, Mohammed, et al.. (2023). Hybrid Muddy Soil Fish Optimization-Based Energy Aware Routing in IoT-Assisted Wireless Sensor Networks. Sustainability. 15(10). 8273–8273. 8 indexed citations
5.
Alalayah, Khaled M., Fatma S. Alrayes, Mohamed K. Nour, et al.. (2023). Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection. Computer Systems Science and Engineering. 46(3). 3103–3119.
6.
Nour, Mohamed K., et al.. (2023). Software Product Line Maintenance Using Multi-Objective Optimization Techniques. Applied Sciences. 13(15). 9010–9010. 1 indexed citations
7.
Nour, Mohamed K., et al.. (2023). Arabic Sign Language Gesture Classification Using Deer Hunting Optimization with Machine Learning Model. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 3413–3429. 9 indexed citations
8.
Nour, Mohamed K., et al.. (2023). Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm. Applied Sciences. 13(20). 11324–11324. 3 indexed citations
9.
Alrayes, Fatma S., Mashael M. Asiri, Mashael Maashi, et al.. (2023). Waste classification using vision transformer based on multilayer hybrid convolution neural network. Urban Climate. 49. 101483–101483. 28 indexed citations
10.
Albraikan, Amani Abdulrahman, et al.. (2023). Intelligent Deep Convolutional Neural Network Based Object Detection Model for Visually Challenged People. Computer Systems Science and Engineering. 46(3). 3191–3207. 2 indexed citations
11.
Nour, Mohamed K., Abdullah Mohamed, Abdelwahed Motwakel, et al.. (2023). Political Optimizer with Probabilistic Neural Network-Based Arabic Comparative Opinion Mining. Intelligent Automation & Soft Computing. 36(3). 3121–3137. 1 indexed citations
12.
Duhayyim, Mesfer Al, et al.. (2023). Optimal Deep Hybrid Boltzmann Machine Based Arabic Corpus Classification Model. Computer Systems Science and Engineering. 46(3). 2755–2772.
13.
Al-Baity, Heyam H., Mohamed K. Nour, Ayman Yafoz, et al.. (2022). Computational Linguistics Based Emotion Detection and Classification Model on Social Networking Data. Applied Sciences. 12(19). 9680–9680. 2 indexed citations
14.
Alrowais, Fadwa, Radwa Marzouk, Mohamed K. Nour, et al.. (2022). Intelligent Intrusion Detection Using Arithmetic Optimization Enabled Density Based Clustering with Deep Learning. Electronics. 11(21). 3541–3541. 7 indexed citations
15.
Duhayyim, Mesfer Al, et al.. (2022). Artificial Ecosystem-Based Optimization with an Improved Deep Learning Model for IoT-Assisted Sustainable Waste Management. Sustainability. 14(18). 11704–11704. 13 indexed citations
16.
Marzouk, Radwa, Eatedal Alabdulkreem, Sami Dhahbi, et al.. (2022). Deep Transfer Learning Driven Oral Cancer Detection and Classification Model. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 3905–3920. 14 indexed citations
17.
Al‐Wesabi, Fahd N., Hadeel Alsolai, Mesfer Al Duhayyim, et al.. (2022). Energy Efficient Transmission Design for NOMA Backscatter-Aided UAV Networks with Imperfect CSI. Drones. 6(8). 190–190. 13 indexed citations
18.
Ali, Mushtaq, Marwa Obayya, Junaid Asghar, et al.. (2022). Machine learning based skin lesion segmentation method with novel borders and hair removal techniques. PLoS ONE. 17(11). e0275781–e0275781. 6 indexed citations
19.
Zamli, Kamal Z., Fakhrud Din, Hussam S. Alhadawi, et al.. (2022). Exploiting an Elitist Barnacles Mating Optimizer implementation for substitution box optimization. ICT Express. 9(4). 619–627. 15 indexed citations
20.
Alabdulkreem, Eatedal, Mohammad Alamgeer, Mohamed K. Nour, et al.. (2022). Compact Bat Algorithm with Deep Learning Model for Biomedical EEG EyeState Classification. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4589–4601. 4 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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