Fatma Taher

2.2k total citations · 1 hit paper
110 papers, 1.3k citations indexed

About

Fatma Taher is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fatma Taher has authored 110 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Artificial Intelligence and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fatma Taher's work include AI in cancer detection (24 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Fatma Taher is often cited by papers focused on AI in cancer detection (24 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Fatma Taher collaborates with scholars based in United Arab Emirates, United States and Egypt. Fatma Taher's co-authors include Ayman El‐Baz, Naoufel Werghi, Hussain Al-Ahmad, Hussam Al Hamadi, Mohammed Ghazal, Ernesto Damiani, Zhibo Zhang, Chan Yeob Yeun, Ahmed Soliman and Mohamed Elhoseny and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Fatma Taher

90 papers receiving 1.2k citations

Hit Papers

Explainable Artificial Intelligence Applications in Cyber... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatma Taher United Arab Emirates 21 483 464 297 265 165 110 1.3k
AKM Azad Australia 19 212 0.4× 364 0.8× 272 0.9× 72 0.3× 198 1.2× 86 1.4k
Dazhe Zhao China 22 643 1.3× 423 0.9× 463 1.6× 283 1.1× 92 0.6× 146 1.5k
Maha Sharkas Egypt 17 523 1.1× 636 1.4× 318 1.1× 79 0.3× 35 0.2× 40 1.1k
Murat Karabatak Türkiye 13 304 0.6× 702 1.5× 306 1.0× 82 0.3× 62 0.4× 77 1.4k
M. Rubaiyat Hossain Mondal Bangladesh 18 304 0.6× 518 1.1× 123 0.4× 49 0.2× 109 0.7× 75 1.2k
Khondokar Fida Hasan Australia 14 175 0.4× 403 0.9× 234 0.8× 48 0.2× 263 1.6× 24 1.1k
Norah Saleh Alghamdi Saudi Arabia 21 363 0.8× 438 0.9× 236 0.8× 78 0.3× 172 1.0× 106 1.3k
Ahmed Sedik Egypt 16 275 0.6× 292 0.6× 404 1.4× 41 0.2× 70 0.4× 56 1.1k
Raul Victor M. da Nóbrega Brazil 9 248 0.5× 249 0.5× 184 0.6× 106 0.4× 49 0.3× 9 812
Mohammed A.‐M. Salem Egypt 15 239 0.5× 257 0.6× 352 1.2× 105 0.4× 32 0.2× 99 837

Countries citing papers authored by Fatma Taher

Since Specialization
Citations

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

Fields of papers citing papers by Fatma Taher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatma Taher

This figure shows the co-authorship network connecting the top 25 collaborators of Fatma Taher. A scholar is included among the top collaborators of Fatma Taher 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 Fatma Taher. Fatma Taher 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.
Taher, Fatma, et al.. (2024). MOLECULAR IDENTIFICATION AND GENOTYPING OF METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS (MRSA) IN DIFFERENT CLINICAL SAMPLES. SHILAP Revista de lepidopterología. 12(2). 159–168. 2 indexed citations
2.
Taher, Fatma, et al.. (2024). AI implementations in cloud-based sign-in logs to detect brute force attack attempts. IET conference proceedings.. 2023(39). 245–254.
3.
Taher, Fatma, et al.. (2024). Compact and high gain cup-shaped 4-Port MIMO antenna using low profile material for the sub-6 GHz, IoT and military applications. Physica Scripta. 99(5). 55501–55501. 8 indexed citations
5.
Elwi, Taha A., Fatma Taher, Bal S. Virdee, et al.. (2024). On the Performance of a Photonic Reconfigurable Electromagnetic Band Gap Antenna Array for 5G Applications. IEEE Access. 12. 60849–60862. 11 indexed citations
6.
Taher, Fatma, Taha A. Elwi, Mohammad Alibakhshikenari, et al.. (2024). AI-Based Investigation and Mitigation of Rain Effect on Channel Performance With Aid of a Novel 3D Slot Array Antenna Design for High Throughput Satellite System. IEEE Access. 12. 29926–29939. 4 indexed citations
7.
Gianini, Gabriele, Jianyi Lin, Himanshi Babbar, et al.. (2024). A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey. SN Computer Science. 5(4). 1 indexed citations
8.
Kuhail, Mohammad Amin, et al.. (2024). Advances, Applications and the Future of Haptic Technology. SpringerBriefs in computer science.
10.
Taher, Fatma, Mohammed S. Alzaidi, Irshad Hussain, et al.. (2023). Wideband, High-Gain, and Compact Four-Port MIMO Antenna for Future 5G Devices Operating over Ka-Band Spectrum. Applied Sciences. 13(7). 4380–4380. 26 indexed citations
11.
Taher, Fatma, Taha A. Elwi, Mohamed Fathy Abo Sree, et al.. (2023). Design of Compact Flexible UWB Antenna Using Different Substrate Materials for WBAN Applications. SPIRE - Sciences Po Institutional REpository. 7 indexed citations
12.
Alksas, Ahmed, Ahmed Shaffie, Mohammed Ghazal, et al.. (2023). A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern. Computer Methods and Programs in Biomedicine. 240. 107692–107692. 12 indexed citations
13.
Al-Dmour, Nidal A., et al.. (2023). Review of Fundamental, Security, and Privacy in Metaverse. 408–414.
14.
Zhang, Zhibo, et al.. (2023). A Late Multi-modal Fusion Model for Detecting Hybrid Spam E-mail. International Journal of Computer Theory and Engineering. 15(2). 76–81. 3 indexed citations
15.
Taher, Fatma. (2023). Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education. 22(4). 111–120. 1 indexed citations
16.
Zhang, Zhibo, Hussam Al Hamadi, Ernesto Damiani, Chan Yeob Yeun, & Fatma Taher. (2022). Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research. IEEE Access. 10. 93104–93139. 172 indexed citations breakdown →
17.
Khalifa, Fahmi, Ahmed Elnakib, Fatma Taher, et al.. (2022). Predicting the Level of Respiratory Support in COVID-19 Patients Using Machine Learning. Bioengineering. 9(10). 536–536.
18.
Alghamdi, Norah Saleh, Fatma Taher, Ahmed Sharafeldeen, et al.. (2022). Segmentation of Infant Brain Using Nonnegative Matrix Factorization. Applied Sciences. 12(11). 5377–5377. 8 indexed citations
19.
Taher, Fatma, et al.. (2018). A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images. Journal of Digital Imaging. 32(5). 793–807. 93 indexed citations
20.
Taher, Fatma, et al.. (2010). Lung Cancer Detection based on the Analysis of Sputum Color Images.. IPCV. 168–173. 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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