Tawfeeq Shawly

405 total citations
36 papers, 228 citations indexed

About

Tawfeeq Shawly is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Tawfeeq Shawly has authored 36 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Tawfeeq Shawly's work include Brain Tumor Detection and Classification (7 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Tawfeeq Shawly is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Tawfeeq Shawly collaborates with scholars based in Saudi Arabia, Egypt and United States. Tawfeeq Shawly's co-authors include Ahmed A. Alsheikhy, Yahia Said, Arif Ghafoor, Hossam E. Ahmed, Abdulrahman A. Alshdadi, Jun Liu, Nathan Burow, Robin Berthier, Rakesh B. Bobba and Saurabh Bagchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainability.

In The Last Decade

Tawfeeq Shawly

29 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tawfeeq Shawly Saudi Arabia 8 80 76 53 38 34 36 228
Mahmoud M. Bassiouni Egypt 9 39 0.5× 79 1.0× 33 0.6× 26 0.7× 14 0.4× 15 289
R. Pugalenthi India 7 114 1.4× 85 1.1× 24 0.5× 38 1.0× 46 1.4× 17 246
Kwabena Adu Ghana 9 77 1.0× 110 1.4× 32 0.6× 14 0.4× 39 1.1× 24 287
Jyothisha J. Nair India 11 59 0.7× 131 1.7× 15 0.3× 18 0.5× 23 0.7× 49 304
Chandradeep Bhatt India 5 68 0.8× 90 1.2× 23 0.4× 12 0.3× 32 0.9× 63 260
Harold Brayan Arteaga-Arteaga Colombia 10 77 1.0× 93 1.2× 23 0.4× 14 0.4× 18 0.5× 17 290
Saeed Ali Bahaj Saudi Arabia 10 107 1.3× 100 1.3× 34 0.6× 7 0.2× 39 1.1× 25 307
Jahanzaib Latif China 8 185 2.3× 106 1.4× 22 0.4× 19 0.5× 49 1.4× 9 338
P. Dayananda India 11 26 0.3× 73 1.0× 50 0.9× 9 0.2× 20 0.6× 54 286
Adyasha Rath India 9 50 0.6× 71 0.9× 16 0.3× 61 1.6× 19 0.6× 25 306

Countries citing papers authored by Tawfeeq Shawly

Since Specialization
Citations

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

Fields of papers citing papers by Tawfeeq Shawly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tawfeeq Shawly

This figure shows the co-authorship network connecting the top 25 collaborators of Tawfeeq Shawly. A scholar is included among the top collaborators of Tawfeeq Shawly 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 Tawfeeq Shawly. Tawfeeq Shawly 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.
Shawly, Tawfeeq, Ahmed A. Alsheikhy, Yahia Said, et al.. (2025). MAFBN: Multi-Attention Forward and Backward network to predict epileptic seizure. Biomedical Signal Processing and Control. 104. 107574–107574. 4 indexed citations
2.
Alsheikhy, Ahmed A., Tawfeeq Shawly, Yahia Said, et al.. (2025). Pixel attention meets M-shaped networks: A cutting-edge AI solution for diabetic retinopathy classification and stroke risk prediction. Biomedical Signal Processing and Control. 110. 108110–108110. 1 indexed citations
3.
4.
5.
Alsheikhy, Ahmed A., Tawfeeq Shawly, Yahia Said, Hossam E. Ahmed, & Malik Bader Alazzam. (2025). Developing machine learning models for personalized game-based stroke rehabilitation therapy in virtual reality. Alexandria Engineering Journal. 121. 358–369. 2 indexed citations
6.
Shawly, Tawfeeq & Ahmed A. Alsheikhy. (2024). Fire Identification Based on Novel Dense Generative Adversarial Networks. Artificial Intelligence Review. 57(8). 2 indexed citations
7.
Shawly, Tawfeeq & Ahmed A. Alsheikhy. (2024). A Novel Self‐Attention Transfer Adaptive Learning Approach for Brain Tumor Categorization. International Journal of Intelligent Systems. 2024(1).
8.
Shawly, Tawfeeq, et al.. (2024). Optimising ovarian tumor classification using a novel CT sequence selection algorithm. Scientific Reports. 14(1). 25010–25010. 3 indexed citations
9.
Said, Yahia, et al.. (2023). Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures. Diagnostics. 13(3). 546–546. 53 indexed citations
10.
Shawly, Tawfeeq & Ahmed A. Alsheikhy. (2023). Classification of Brain Tumors Using Hybrid Feature Extraction Based on Modified Deep Learning Techniques. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 425–443. 3 indexed citations
11.
Alsheikhy, Ahmed A., Yahia Said, & Tawfeeq Shawly. (2023). An Intelligent Decision Support System for Lung Cancer Diagnosis. Computer Systems Science and Engineering. 46(1). 799–817. 2 indexed citations
12.
Shawly, Tawfeeq, et al.. (2023). Social context‐aware macroscopic routing scheme for opportunistic network. Transactions on Emerging Telecommunications Technologies. 34(12). 3 indexed citations
13.
Alsheikhy, Ahmed A., et al.. (2023). An Effective Diagnosis System for Brain Tumor Detection and Classification. Computer Systems Science and Engineering. 46(2). 2021–2037. 4 indexed citations
14.
Shawly, Tawfeeq & Ahmed A. Alsheikhy. (2023). An Improved Fully Automated Breast Cancer Detection and Classification System. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 731–751.
15.
Alsheikhy, Ahmed A., Yahia Said, & Tawfeeq Shawly. (2023). An Intelligent Adaptive Dynamic Algorithm for a Smart Traffic System. Computer Systems Science and Engineering. 46(1). 1109–1126. 1 indexed citations
16.
Alsheikhy, Ahmed A., et al.. (2023). A Model to Predict Heartbeat Rate Using Deep Learning Algorithms. Healthcare. 11(3). 330–330. 6 indexed citations
17.
Alsheikhy, Ahmed A., et al.. (2023). A CAD System for Lung Cancer Detection Using Hybrid Deep Learning Techniques. Diagnostics. 13(6). 1174–1174. 23 indexed citations
18.
Alsheikhy, Ahmed A., et al.. (2023). A Novel Deep Learning Segmentation and Classification Framework for Leukemia Diagnosis. Algorithms. 16(12). 556–556. 7 indexed citations
19.
Shawly, Tawfeeq, et al.. (2023). Optimization of Crop Recommendations Using Novel Machine Learning Techniques. Sustainability. 15(11). 8836–8836. 12 indexed citations
20.
Alsheikhy, Ahmed A., et al.. (2023). A Deep Learning Approach to Predict Chronological Age. Healthcare. 11(3). 448–448. 3 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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