Anas Tahir

2.9k total citations · 2 hit papers
32 papers, 1.8k citations indexed

About

Anas Tahir is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anas Tahir has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anas Tahir's work include ECG Monitoring and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 diagnosis using AI (6 papers). Anas Tahir is often cited by papers focused on ECG Monitoring and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 diagnosis using AI (6 papers). Anas Tahir collaborates with scholars based in Qatar, Malaysia and Bangladesh. Anas Tahir's co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kıranyaz, Tawsifur Rahman, Yazan Qiblawey, Somaya Al-Máadeed, Muhammad Salman Khan, Mohammad Tariqul Islam, Susu M. Zughaier and Saad Bin Abul Kashem and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Anas Tahir

32 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

2021 672 citations Tawsifur Rahman, Amith Khandakar et al. Computers in Biology and Medicine profile →
COVID-19 infection localization and severity grading from chest X-ray images

2022 116 citations Anas Tahir, Muhammad E. H. Chowdhury et al. Qatar University QSpace (Qatar University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anas Tahir Qatar	19	872	586	392	267	259	32	1.8k
Omneya Attallah Egypt	30	839 1.0×	894 1.5×	285 0.7×	165 0.6×	323 1.2×	72	1.9k
Marcos Ortega Spain	24	1.2k 1.4×	278 0.5×	302 0.8×	221 0.8×	461 1.8×	151	1.9k
Awni Hannun Israel	9	251 0.3×	595 1.0×	372 0.9×	1.2k 4.6×	127 0.5×	16	2.2k
Ninad Mehendale India	17	400 0.5×	332 0.6×	166 0.4×	45 0.2×	380 1.5×	90	1.2k
Syoji Kobashi Japan	18	272 0.3×	226 0.4×	426 1.1×	76 0.3×	488 1.9×	273	1.5k
Bogdan J. Matuszewski United Kingdom	15	414 0.5×	486 0.8×	130 0.3×	103 0.4×	661 2.6×	74	1.3k
Celia Shahnaz Bangladesh	20	177 0.2×	226 0.4×	388 1.0×	429 1.6×	440 1.7×	153	1.8k
Kazuhiko Hamamoto Japan	16	401 0.5×	303 0.5×	207 0.5×	36 0.1×	359 1.4×	134	1.1k
Paulo César Cortez Brazil	18	322 0.4×	210 0.4×	184 0.5×	241 0.9×	292 1.1×	64	1.1k
Pulkit Agrawal United States	14	289 0.3×	372 0.6×	231 0.6×	326 1.2×	429 1.7×	46	1.4k

Countries citing papers authored by Anas Tahir

Since Specialization

Citations

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

Fields of papers citing papers by Anas Tahir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anas Tahir

This figure shows the co-authorship network connecting the top 25 collaborators of Anas Tahir. A scholar is included among the top collaborators of Anas Tahir 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 Anas Tahir. Anas Tahir 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

Faisal, Md. Ahasan Atick, Sakib Mahmud, Anas Tahir, et al.. (2025). Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD. Medical & Biological Engineering & Computing. 63(7). 2173–2190. 1 indexed citations

Tahir, Anas, et al.. (2024). A multi-task learning model for clinically interpretable sesamoiditis grading. Computers in Biology and Medicine. 182. 109179–109179. 4 indexed citations

Tahir, Anas, et al.. (2024). Enhancing diagnosis: ensemble deep-learning model for fracture detection using X-ray images. Clinical Radiology. 79(11). e1394–e1402. 14 indexed citations

Ezeddin, Maymouna, Muhammad E. H. Chowdhury, Anas Tahir, et al.. (2023). Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors. 23(16). 7156–7156. 26 indexed citations

Hossain, Amran, Mohammad Tariqul Islam, Tawsifur Rahman, et al.. (2023). Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models. Biosensors. 13(3). 302–302. 28 indexed citations

Tahir, Anas, Fayçal Bensaali, Rabab Ward, et al.. (2023). Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes. Journal of Clinical Medicine. 12(14). 4774–4774. 7 indexed citations

Mahmud, Sakib, Muhammad E. H. Chowdhury, Serkan Kıranyaz, et al.. (2023). Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN. Engineering Applications of Artificial Intelligence. 128. 107514–107514. 13 indexed citations

Tahir, Anas, Ayman Al‐Kababji, Haji M. Furqan, et al.. (2022). Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey. Qatar University QSpace (Qatar University). 89 indexed citations

Tahir, Anas, Muhammad E. H. Chowdhury, Amith Khandakar, et al.. (2022). COVID-19 infection localization and severity grading from chest X-ray images. Qatar University QSpace (Qatar University). 116 indexed citations breakdown →

10.

Kıranyaz, Serkan, Türker İnce, Özer Can Devecioğlu, et al.. (2022). Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network. Qatar University QSpace (Qatar University). 61 indexed citations

11.

Chowdhury, Muhammad E. H., Amith Khandakar, Anas Tahir, et al.. (2022). Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs. Computers in Biology and Medicine. 142. 105238–105238. 31 indexed citations

12.

Al‐Kababji, Ayman, et al.. (2022). On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks. Qatar University QSpace (Qatar University). 8 indexed citations

13.

Ibtehaz, Nabil, Sakib Mahmud, Muhammad E. H. Chowdhury, et al.. (2022). PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms. Bioengineering. 9(11). 692–692. 67 indexed citations

14.

Khandakar, Amith, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, et al.. (2022). Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors. 22(5). 1793–1793. 28 indexed citations

15.

Mahmud, Sakib, Nabil Ibtehaz, Amith Khandakar, et al.. (2022). A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors. 22(3). 919–919. 49 indexed citations

16.

Rahman, Tawsifur, Nabil Ibtehaz, Amith Khandakar, et al.. (2022). QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds. Diagnostics. 12(4). 920–920. 21 indexed citations

17.

Kıranyaz, Serkan, Özer Can Devecioğlu, Türker İnce, et al.. (2022). Blind ECG Restoration by Operational Cycle-GANs. IEEE Transactions on Biomedical Engineering. 69(12). 3572–3581. 34 indexed citations

18.

Tahir, Anas, Yazan Qiblawey, Amith Khandakar, et al.. (2022). Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. Cognitive Computation. 14(5). 1752–1772. 46 indexed citations

19.

Qiblawey, Yazan, Anas Tahir, Muhammad E. H. Chowdhury, et al.. (2021). Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning. MDPI (MDPI AG). 88 indexed citations

20.

Tahir, Anas, et al.. (2018). Text Line Segmentation for Mushaf Al-Quran Using Hybrid Projection Based Neighbouring Properties. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 53–57. 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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