Medhat A. Tawfeek

679 total citations
22 papers, 397 citations indexed

About

Medhat A. Tawfeek is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Medhat A. Tawfeek has authored 22 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Medhat A. Tawfeek's work include Cloud Computing and Resource Management (9 papers), Distributed and Parallel Computing Systems (6 papers) and IoT and Edge/Fog Computing (5 papers). Medhat A. Tawfeek is often cited by papers focused on Cloud Computing and Resource Management (9 papers), Distributed and Parallel Computing Systems (6 papers) and IoT and Edge/Fog Computing (5 papers). Medhat A. Tawfeek collaborates with scholars based in Egypt, Saudi Arabia and Tunisia. Medhat A. Tawfeek's co-authors include Arabi Keshk, Ashraf B. El-Sisi, Fawzy A. Torkey, Saad Alanazi, A. A. Abd El-Aziz, Engy El-Shafeiy, Mahmood A. Mahmood, Ehsan Arabi, Maazen Alsabaan and Leila Jamel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neural Computing and Applications.

In The Last Decade

Medhat A. Tawfeek

19 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Medhat A. Tawfeek Egypt 9 313 299 62 19 15 22 397
Subasish Mohapatra India 11 269 0.9× 240 0.8× 98 1.6× 34 1.8× 9 0.6× 28 415
Kalka Dubey India 13 351 1.1× 331 1.1× 63 1.0× 43 2.3× 3 0.2× 19 422
Shams Tabrez Siddiqui Saudi Arabia 10 109 0.3× 133 0.4× 37 0.6× 34 1.8× 23 1.5× 45 248
Said Nabi Pakistan 11 277 0.9× 280 0.9× 74 1.2× 26 1.4× 21 1.4× 22 401
Mohammed Moin Mulla India 11 314 1.0× 110 0.4× 131 2.1× 32 1.7× 3 0.2× 17 364
Luo Mai United Kingdom 9 163 0.5× 107 0.4× 90 1.5× 34 1.8× 11 0.7× 19 305
Sudheer Mangalampalli India 10 285 0.9× 286 1.0× 74 1.2× 12 0.6× 2 0.1× 35 378
N. Manikandan India 11 268 0.9× 248 0.8× 96 1.5× 21 1.1× 7 0.5× 23 348
Fehmi Jaafar Canada 13 193 0.6× 300 1.0× 146 2.4× 9 0.5× 3 0.2× 58 409
Somya Goyal India 10 79 0.3× 214 0.7× 97 1.6× 17 0.9× 14 0.9× 28 309

Countries citing papers authored by Medhat A. Tawfeek

Since Specialization
Citations

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

Fields of papers citing papers by Medhat A. Tawfeek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Medhat A. Tawfeek. 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 Medhat A. Tawfeek. The network helps show where Medhat A. Tawfeek may publish in the future.

Co-authorship network of co-authors of Medhat A. Tawfeek

This figure shows the co-authorship network connecting the top 25 collaborators of Medhat A. Tawfeek. A scholar is included among the top collaborators of Medhat A. Tawfeek 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 Medhat A. Tawfeek. Medhat A. Tawfeek 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.
2.
Tawfeek, Medhat A., Ibrahim Alrashdi, Madallah Alruwaili, Warda M. Shaban, & Fatma M. Talaat. (2025). Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans. Neural Computing and Applications. 37(17). 11459–11477. 3 indexed citations
3.
Tawfeek, Medhat A., Ibrahim Alrashdi, Madallah Alruwaili, & Fatma M. Talaat. (2025). A Fuzzy Multi-Objective Framework for Energy Optimization and Reliable Routing in Wireless Sensor Networks via Particle Swarm Optimization. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 2773–2792. 1 indexed citations
4.
Tawfeek, Medhat A., et al.. (2025). Improving energy efficiency and routing reliability in wireless sensor networks using modified ant colony optimization. EURASIP Journal on Wireless Communications and Networking. 2025(1). 2 indexed citations
5.
Tawfeek, Medhat A., et al.. (2023). Adaptive Deep Learning Model to Enhance Smart Greenhouse Agriculture. Computers, materials & continua/Computers, materials & continua (Print). 77(2). 2545–2564. 6 indexed citations
6.
Tawfeek, Medhat A., et al.. (2023). A new approach for cancer prediction based on deep neural learning. Journal of King Saud University - Computer and Information Sciences. 35(6). 101565–101565. 15 indexed citations
7.
Almuayqil, Saleh Naif, et al.. (2023). Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques. Egyptian Informatics Journal. 24(3). 100391–100391. 3 indexed citations
8.
Tawfeek, Medhat A., Saad Alanazi, & A. A. Abd El-Aziz. (2022). Smart Greenhouse Based on ANN and IOT. Processes. 10(11). 2402–2402. 10 indexed citations
9.
Tawfeek, Medhat A., et al.. (2021). Applying and Comparison of Chaotic-Based Permutation Algorithms for Audio Encryption. Computers, materials & continua/Computers, materials & continua (Print). 67(3). 3161–3176. 4 indexed citations
10.
Tawfeek, Medhat A., et al.. (2021). A Dynamic Resource-Aware Routing Protocol in Resource-Constrained Opportunistic Networks. Computers, materials & continua/Computers, materials & continua (Print). 70(2). 4147–4167. 3 indexed citations
11.
El-Shafeiy, Engy, et al.. (2021). A new smart healthcare framework for real-time heart disease detection based on deep and machine learning. PeerJ Computer Science. 7. e646–e646. 15 indexed citations
12.
Tawfeek, Medhat A., et al.. (2018). Service Flow Management with Multi-objective Constraints in Heterogeneous Computing. 258–263. 1 indexed citations
13.
Tawfeek, Medhat A., et al.. (2018). A genetic algorithm for service flow management with budget constraint in heterogeneous computing. SHILAP Revista de lepidopterología. 3(2). 341–347. 5 indexed citations
14.
Keshk, Arabi, Raed Alsini, & Medhat A. Tawfeek. (2018). Adaptive Fault Tolerance for Online Tasks Scheduling in Cloud Computing. 47. 1–6. 1 indexed citations
15.
Tawfeek, Medhat A., et al.. (2016). Hybrid Algorithm Based on Swarm Intelligence Techniques for Dynamic Tasks Scheduling in Cloud Computing. International Journal of Intelligent Systems and Applications. 8(11). 61–69. 10 indexed citations
16.
Tawfeek, Medhat A., Ashraf B. El-Sisi, Arabi Keshk, & Fawzy A. Torkey. (2015). Cloud task scheduling based on ant colony optimization.. The International Arab Journal of Information Technology. 12. 129–137. 49 indexed citations
17.
Keshk, Arabi, Ashraf B. El-Sisi, & Medhat A. Tawfeek. (2014). Cloud Task Scheduling for Load Balancing based on Intelligent Strategy. International Journal of Intelligent Systems and Applications. 6(5). 25–36. 31 indexed citations
18.
Tawfeek, Medhat A., Ashraf B. El-Sisi, Arabi Keshk, & Fawzy A. Torkey. (2013). Cloud task scheduling based on ant colony optimization. 64–69. 198 indexed citations
19.
Tawfeek, Medhat A., et al.. (2013). An Ant Algorithm for Cloud Task Scheduling. Advances in intelligent systems research. 13 indexed citations
20.
Tawfeek, Medhat A., et al.. (2001). EFFECT OF STABILIZATION TECHNIQUES ON QUALITY CHARACTERISTICS OF RICE BRAN. Egyptian Journal of Agricultural Sciences . 52(4). 573–584.

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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