Amith Khandakar
Impact in
- Health Informatics top 0.2%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Non-Invasive Vital Sign Monitoring 19
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- COVID-19 diagnosis using AI 24
- Radiomics and Machine Learning in Medical Imaging 12
- Co-authors
- Muhammad E. H. Chowdhury (115 shared papers)Tawsifur Rahman (30 shared papers)Mohammad Tariqul Islam (16 shared papers)Muhammad Salman Khan (10 shared papers)Zaid Bin Mahbub (15 shared papers)Muhammad Abdul Kadir (7 shared papers)Khandaker Reajul Islam (8 shared papers)Mamun Bin Ibne Reaz (22 shared papers)
- Journals
- Sensors (19 papers)IEEE Access (16 papers)Scientific Reports (9 papers)Computers in Biology and Medicine (7 papers)Neural Computing and Applications (6 papers)
- Partner nations
- QatarBangladeshMalaysia
In The Last Decade
Amith Khandakar
154 papers receiving 6.3k citations
Amith Khandakar's Hit Papers
Peers
Comparison fields: 5 of 189
- Health Informatics 306
- Radiology, Nuclear Medicine and Imaging 2.9k
- Artificial Intelligence 2.0k
- Health Information Management 191
- General Dentistry 57
Countries citing papers authored by Amith Khandakar
This map shows the geographic impact of Amith Khandakar'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 Amith Khandakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amith Khandakar more than expected).
Fields of papers citing papers by Amith Khandakar
This network shows the impact of papers produced by Amith Khandakar. 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 Amith Khandakar. The network helps show where Amith Khandakar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amith Khandakar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Can AI Help in Screening Viral and COVID-19 Pneumonia? Hit paper breakdown → | 2020 | 1190 |
| 2 | Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images Hit paper breakdown → | 2021 | 696 |
| 3 | Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray Hit paper breakdown → | 2020 | 414 |
| 4 | Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization Hit paper breakdown → | 2020 | 387 |
| 5 | Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques Hit paper breakdown → | 2021 | 228 |
| 6 | 2019 | 136 | |
| 7 | COVID-19 infection localization and severity grading from chest X-ray images Hit paper breakdown → | 2022 | 126 |
| 8 | 2019 | 113 | |
| 9 | 2021 | 100 | |
| 10 | 2022 | 96 | |
| 11 | 2020 | 82 | |
| 12 | 2019 | 77 | |
| 13 | 2022 | 71 | |
| 14 | 2022 | 66 | |
| 15 | 2020 | 64 | |
| 16 | 2022 | 63 | |
| 17 | 2022 | 55 | |
| 18 | 2022 | 55 | |
| 19 | 2019 | 55 | |
| 20 | 2021 | 55 |
About Amith Khandakar
Amith Khandakar is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 167 papers that have together received 6.5k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (24 papers), Non-Invasive Vital Sign Monitoring (19 papers), EEG and Brain-Computer Interfaces (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), ECG Monitoring and Analysis (11 papers), Diabetic Foot Ulcer Assessment and Management (9 papers), Municipal Solid Waste Management (9 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Health Informatics (306 citations), Radiology, Nuclear Medicine and Imaging (2.9k citations), Artificial Intelligence (2.0k citations), Health Information Management (191 citations) and General Dentistry (57 citations). Amith Khandakar has collaborated with scholars based in Qatar, Bangladesh and Malaysia. Frequent co-authors include Muhammad E. H. Chowdhury, Tawsifur Rahman, Mohammad Tariqul Islam, Muhammad Salman Khan, Zaid Bin Mahbub, Muhammad Abdul Kadir, Khandaker Reajul Islam, Mamun Bin Ibne Reaz, Mohamed Arselene Ayari and Saad Bin Abul Kashem. Their work appears in journals such as Sensors, IEEE Access, Scientific Reports, Computers in Biology and Medicine and Neural Computing and Applications.
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.