T. Medhat

582 total citations
20 papers, 339 citations indexed

About

T. Medhat is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, T. Medhat has authored 20 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in T. Medhat's work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (7 papers) and Data Management and Algorithms (4 papers). T. Medhat is often cited by papers focused on Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (7 papers) and Data Management and Algorithms (4 papers). T. Medhat collaborates with scholars based in Egypt, Saudi Arabia and Australia. T. Medhat's co-authors include A.M. Kozae, Anmar Khadra, M. Z. Rashad, Ali I. Siam, Ahmed Sedik, Amr A. Abohany, Kumudu S. Munasinghe, Karam M. Sallam, Esraa Hassan and Abeer Saber and has published in prestigious journals such as Expert Systems with Applications, Chaos Solitons & Fractals and Neural Computing and Applications.

In The Last Decade

T. Medhat

16 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Medhat Egypt	6	226	93	93	69	34	20	339
Albrecht Zimmermann France	10	89 0.4×	151 1.6×	106 1.1×	7 0.1×	33 1.0×	31	286
Ion Iancu Romania	7	70 0.3×	36 0.4×	88 0.9×	97 1.4×	22 0.6×	25	199
Yutong Wu China	9	48 0.2×	38 0.4×	102 1.1×	9 0.1×	112 3.3×	40	307
Beata Zielosko Poland	11	218 1.0×	156 1.7×	201 2.2×	37 0.5×	14 0.4×	54	308
Iwan Tri Riyadi Yanto Indonesia	9	81 0.4×	100 1.1×	97 1.0×	39 0.6×	15 0.4×	42	195
Jack Doerner United States	7	62 0.3×	122 1.3×	341 3.7×	9 0.1×	25 0.7×	9	377
Lynn D’eer Belgium	7	413 1.8×	126 1.4×	144 1.5×	198 2.9×	34 1.0×	9	432
Michal Holčapek Czechia	12	262 1.2×	17 0.2×	228 2.5×	223 3.2×	18 0.5×	59	447
Carlos Domingo Japan	6	69 0.3×	32 0.3×	189 2.0×	11 0.2×	58 1.7×	12	250
Suping Xu China	11	192 0.8×	144 1.5×	262 2.8×	12 0.2×	113 3.3×	17	357

Countries citing papers authored by T. Medhat

Since Specialization

Citations

This map shows the geographic impact of T. Medhat'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 T. Medhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Medhat more than expected).

Fields of papers citing papers by T. Medhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Medhat

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

All Works

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20 of 20 papers shown

Sallah, Mohammed, et al.. (2025). Enhanced detection of female breast cancer from digital mammography employing transfer deep learning neural networks. Journal of Radiation Research and Applied Sciences. 18(2). 101392–101392.

Sharshir, Swellam W., Ahmed Sedik, Mohamed A. Hamada, et al.. (2025). Data-driven prediction of hemispherical solar distiller performance: Optimizing water production with machine learning. Scientific African. 29. e02851–e02851. 1 indexed citations

Hassan, Esraa, Abeer Saber, Tarek Abd El‐Hafeez, T. Medhat, & Mahmoud Y. Shams. (2025). Enhanced dysarthria detection in cerebral palsy and ALS patients using WaveNet and CNN-BiLSTM models: A comparative study with model interpretability. Biomedical Signal Processing and Control. 110. 108128–108128. 12 indexed citations

Sallah, Mohammed, et al.. (2025). Leveraging feature fusion network for automated classification of thyroid tumors from ultrasound medical scans. Journal of Radiation Research and Applied Sciences. 18(2). 101526–101526.

Siam, Ali I., et al.. (2023). Video-based real-time monitoring for heart rate and respiration rate. Expert Systems with Applications. 225. 120135–120135. 39 indexed citations

Emam, O. E., et al.. (2023). Handling uncertainty issue in software defect prediction utilizing a hybrid of ANFIS and turbulent flow of water optimization algorithm. Neural Computing and Applications. 36(9). 4583–4602. 3 indexed citations

Medhat, T., et al.. (2023). Thyroid Disease Multi-class Classification based on Optimized Gradient Boosting Model. 2(1). 1–14. 22 indexed citations

Sedik, Ahmed, Amr A. Abohany, Karam M. Sallam, Kumudu S. Munasinghe, & T. Medhat. (2022). Deep fake news detection system based on concatenated and recurrent modalities. Expert Systems with Applications. 208. 117953–117953. 17 indexed citations

Atik, Abd El Fattah El, et al.. (2022). Mathematical Morphology View of Topological Rough Sets and Its Applications. Computers, materials & continua/Computers, materials & continua (Print). 74(3). 6893–6908.

10.

Medhat, T., et al.. (2022). Attribute Reduction for Information Systems via Strength of Rules and Similarity Matrix. Computer Systems Science and Engineering. 45(2). 1531–1544. 1 indexed citations

11.

Medhat, T., et al.. (2022). Soft Sets and Soft Topological Spaces via its Applications. 3(1). 1–7. 1 indexed citations

12.

Medhat, T., et al.. (2021). Chaos Prediction in Fractional Delayed Energy‐Based Models of Capital Accumulation. Complexity. 2021(1). 3 indexed citations

13.

Medhat, T., et al.. (2020). Missing value prediction for qualitative information systems. Filomat. 34(1). 175–185. 1 indexed citations

14.

Medhat, T., et al.. (2018). The Relation Between Rough Sets And Fuzzy Sets Via Topological Spaces. 2(10). 1–10. 1 indexed citations

15.

Sallam, Elsayed A., et al.. (2017). Handling Numerical Missing Values Via Rough Sets. 3(2). 22–36. 4 indexed citations

16.

Medhat, T.. (2012). Prediction of Missing Values for Decision Attribute. International Journal of Information Technology and Computer Science. 4(11). 58–66. 5 indexed citations

17.

Medhat, T.. (2012). Missing Values Via Covering Rough Sets. 2(1). 10–17. 4 indexed citations

18.

Medhat, T.. (2011). Topological Spaces and Covering Rough Sets. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 3(8). 283–289. 3 indexed citations

19.

Kozae, A.M., et al.. (2005). Rough set theory for topological spaces. International Journal of Approximate Reasoning. 40(1-2). 35–43. 191 indexed citations

20.

Medhat, T., et al.. (2005). Topological reduction of information systems. Chaos Solitons & Fractals. 25(2). 277–286. 31 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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