Rashid Mazhar
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 1%
- Pulmonary and Respiratory Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Muhammad E. H. ChowdhuryAmith KhandakarTawsifur RahmanKhandaker Reajul IslamZaid Bin MahbubMohammad Tariqul IslamMuhammad Abdul KadirMamun Bin Ibne Reaz
- Topics
- Cardiac Valve Diseases and Treatments (4 papers)Cardiovascular Function and Risk Factors (4 papers)Congenital Heart Disease Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Biomedical Engineering
- Partner nations
- QatarFinlandUnited Kingdom
In The Last Decade
Rashid Mazhar
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Radiology, Nuclear Medicine and Imaging 1.5k
- Artificial Intelligence 884
- Pulmonary and Respiratory Medicine 344
- Computer Vision and Pattern Recognition 277
- Cardiology and Cardiovascular Medicine 202
Countries citing papers authored by Rashid Mazhar
This map shows the geographic impact of Rashid Mazhar'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 Rashid Mazhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashid Mazhar more than expected).
Fields of papers citing papers by Rashid Mazhar
This network shows the impact of papers produced by Rashid Mazhar. 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 Rashid Mazhar. The network helps show where Rashid Mazhar may publish in the future.
Co-authorship network of co-authors of Rashid Mazhar
This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Mazhar. A scholar is included among the top collaborators of Rashid Mazhar 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 Rashid Mazhar. Rashid Mazhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 25 | |
| 7 | 34 | |
| 8 | 34 | |
| 9 | 42 | |
| 10 | Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualizationbreakdown → | 375 |
| 11 | 2 | |
| 12 | Can AI Help in Screening Viral and COVID-19 Pneumonia?breakdown → | 1167 |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 132 | |
| 20 | 21 |
About Rashid Mazhar
Rashid Mazhar is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Health Informatics (198 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Artificial Intelligence (884 citations). Rashid Mazhar has collaborated with scholars based in Qatar, Finland and United Kingdom. Frequent co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman, Khandaker Reajul Islam, Zaid Bin Mahbub, Mohammad Tariqul Islam, Muhammad Abdul Kadir, Mamun Bin Ibne Reaz, Atif Iqbal and Muhammad Salman Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.