Anas Tahir
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Muhammad E. H. ChowdhuryAmith KhandakarSerkan KıranyazTawsifur RahmanYazan QiblaweySomaya Al-MáadeedMuhammad Salman KhanMohammad Tariqul Islam
- Topics
- ECG Monitoring and Analysis (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)COVID-19 diagnosis using AI (6 papers)
- Partner nations
- QatarMalaysiaBangladesh
In The Last Decade
Anas Tahir
32 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 872
- Artificial Intelligence 586
- Biomedical Engineering 392
- Cardiology and Cardiovascular Medicine 267
- Computer Vision and Pattern Recognition 259
Countries citing papers authored by Anas Tahir
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 14 | |
| 4 | 26 | |
| 5 | 28 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 89 | |
| 9 | COVID-19 infection localization and severity grading from chest X-ray imagesbreakdown → | 116 |
| 10 | 61 | |
| 11 | 31 | |
| 12 | 8 | |
| 13 | 67 | |
| 14 | 28 | |
| 15 | 49 | |
| 16 | 21 | |
| 17 | 34 | |
| 18 | 46 | |
| 19 | 88 | |
| 20 | Text Line Segmentation for Mushaf Al-Quran Using Hybrid Projection Based Neighbouring Properties | 3 |
About Anas Tahir
Anas Tahir is a scholar working on Health Informatics, Human-Computer Interaction and General Dentistry, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this 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). The work is most often cited by research in Health Informatics (107 citations), Radiology, Nuclear Medicine and Imaging (872 citations) and Artificial Intelligence (586 citations). Anas Tahir has collaborated with scholars based in Qatar, Malaysia and Bangladesh. Frequent 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. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Sensors.
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.