Osama M. Elkomy

480 total citations
18 papers, 332 citations indexed

About

Osama M. Elkomy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Osama M. Elkomy has authored 18 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Osama M. Elkomy's work include Chaos-based Image/Signal Encryption (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Multi-Criteria Decision Making (2 papers). Osama M. Elkomy is often cited by papers focused on Chaos-based Image/Signal Encryption (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Multi-Criteria Decision Making (2 papers). Osama M. Elkomy collaborates with scholars based in Egypt, Australia and Saudi Arabia. Osama M. Elkomy's co-authors include Mohamed Abdel‐Basset, Nour Moustafa, Hossam Hawash, Karam M. Sallam, Reda Mohamed, Imran Razzak, Mohamed Abouhawwash, Khalid M. Hosny, Abduallah Gamal and Hanaa M. Hamza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Osama M. Elkomy

17 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Osama M. Elkomy Egypt 10 139 128 85 65 49 18 332
Raja Masadeh Jordan 11 130 0.9× 125 1.0× 141 1.7× 46 0.7× 55 1.1× 15 382
Deepraj Chowdhury India 11 147 1.1× 245 1.9× 184 2.2× 62 1.0× 41 0.8× 25 458
Zhongyi Zhai China 8 102 0.7× 200 1.6× 111 1.3× 62 1.0× 103 2.1× 33 389
S. John Justin Thangaraj India 10 74 0.5× 99 0.8× 56 0.7× 43 0.7× 44 0.9× 53 343
Rituparna Chaki India 13 94 0.7× 291 2.3× 92 1.1× 43 0.7× 113 2.3× 71 519
Fatma S. Alrayes Saudi Arabia 11 166 1.2× 187 1.5× 57 0.7× 65 1.0× 26 0.5× 57 399
Muhammed Golec United Kingdom 12 106 0.8× 297 2.3× 241 2.8× 59 0.9× 47 1.0× 30 470
Himanshu Monga India 8 64 0.5× 124 1.0× 72 0.8× 45 0.7× 75 1.5× 54 309
Mohammed Q. Shatnawi Jordan 7 70 0.5× 217 1.7× 99 1.2× 42 0.6× 86 1.8× 35 351
Muhammad Sulaiman Pakistan 9 142 1.0× 163 1.3× 81 1.0× 33 0.5× 20 0.4× 19 354

Countries citing papers authored by Osama M. Elkomy

Since Specialization
Citations

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

Fields of papers citing papers by Osama M. Elkomy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osama M. Elkomy. 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 Osama M. Elkomy. The network helps show where Osama M. Elkomy may publish in the future.

Co-authorship network of co-authors of Osama M. Elkomy

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

All Works

18 of 18 papers shown
1.
Eltoukhy, Mohamed Meselhy, et al.. (2025). A new medical image encryption using modular integrated logistic exponential map and multi-level Q-Sequence matrix. Scientific Reports. 15(1). 31383–31383.
2.
Hosny, Khalid M., et al.. (2024). Digital image watermarking using deep learning: A survey. Computer Science Review. 53. 100662–100662. 23 indexed citations
3.
Elkomy, Osama M., et al.. (2024). ASAP: A lightweight authenticated secure association protocol for IEEE 802.15.6 based medical BAN. Internet of Things. 28. 101363–101363. 3 indexed citations
4.
Khafaga, Doaa Sami, et al.. (2023). Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi. Computer Systems Science and Engineering. 47(2). 1967–1986. 6 indexed citations
5.
Mohamed, Ehab R., Heba M. Mansour, & Osama M. Elkomy. (2023). An efficient fusion method for Protecting Software-Defined Networks Against ARP Attacks: Analysis and Experimental Validation. Fusion Practice and Applications. 12(1). 8–23. 2 indexed citations
6.
Mohamed, Ehab R., Heba M. Mansour, & Osama M. Elkomy. (2023). A Neutrosophic Model for Ranking Technical Sol utions for Three Types of ARP Attacks in SDN Architecture. 21(4). 106–126. 1 indexed citations
7.
Hosny, Khalid M., et al.. (2022). Robust color image watermarking using multi-core Raspberry pi cluster. Multimedia Tools and Applications. 81(12). 17185–17204. 9 indexed citations
8.
Abdel‐Basset, Mohamed, Reda Mohamed, Osama M. Elkomy, & Mohamed Abouhawwash. (2022). Recent metaheuristic algorithms with genetic operators for high-dimensional knapsack instances: A comparative study. Computers & Industrial Engineering. 166. 107974–107974. 21 indexed citations
9.
Hosny, Khalid M., et al.. (2022). Fast and accurate face recognition system using MORSCMs-LBP on embedded circuits. PeerJ Computer Science. 8. e1008–e1008. 2 indexed citations
10.
Abdel‐Basset, Mohamed, Reda Mohamed, & Osama M. Elkomy. (2022). Knapsack Cipher-based metaheuristic optimization algorithms for cryptanalysis in blockchain-enabled internet of things systems. Ad Hoc Networks. 128. 102798–102798. 9 indexed citations
11.
Abdel‐Basset, Mohamed, Hossam Hawash, Nour Moustafa, & Osama M. Elkomy. (2021). Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans. Pattern Recognition Letters. 152. 311–319. 13 indexed citations
12.
Ding, Weiping, Mohamed Abdel‐Basset, Hossam Hawash, & Osama M. Elkomy. (2021). MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans. IEEE Transactions on Cybernetics. 53(2). 1285–1298. 18 indexed citations
13.
Abdel‐Basset, Mohamed, Nour Moustafa, Reda Mohamed, Osama M. Elkomy, & Mohamed Abouhawwash. (2021). Multi-Objective Task Scheduling Approach for Fog Computing. IEEE Access. 9. 126988–127009. 52 indexed citations
14.
Abdel‐Basset, Mohamed, Nour Moustafa, Hossam Hawash, et al.. (2021). Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2523–2537. 117 indexed citations
15.
Abdel‐Basset, Mohamed, Karam M. Sallam, Reda Mohamed, et al.. (2021). An Improved Binary Grey-Wolf Optimizer With Simulated Annealing for Feature Selection. IEEE Access. 9. 139792–139822. 24 indexed citations
16.
Abdel‐Basset, Mohamed, et al.. (2021). Efficient Model for Emergency Departments: Real Case Study. Computers, materials & continua/Computers, materials & continua (Print). 70(2). 4053–4073. 4 indexed citations
17.
Abdel‐Basset, Mohamed, Abduallah Gamal, & Osama M. Elkomy. (2021). Hybrid Multi-Criteria Decision Making approach for the evaluation of sustainable photovoltaic farms locations. Journal of Cleaner Production. 328. 129526–129526. 22 indexed citations
18.
Elhenawy, Ibrahim, et al.. (2014). Recognition of phonetic Arabic figures via wavelet based Mel Frequency Cepstrum using HMMs. SHILAP Revista de lepidopterología. 10(1). 49–54. 6 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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