Muhammad Abdul Kadir
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Health Informatics top 0.5%
- Co-authors
- Amith KhandakarMuhammad E. H. ChowdhuryZaid Bin MahbubKhandaker Reajul IslamTawsifur RahmanMohammad Tariqul IslamRashid MazharMamun Bin Ibne Reaz
- Topics
- Electrical and Bioimpedance Tomography (16 papers)Body Composition Measurement Techniques (11 papers)Microfluidic and Bio-sensing Technologies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- BangladeshQatarMalaysia
In The Last Decade
Muhammad Abdul Kadir
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 1.7k
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 344
- Pulmonary and Respiratory Medicine 331
- Health Informatics 212
Countries citing papers authored by Muhammad Abdul Kadir
This map shows the geographic impact of Muhammad Abdul Kadir'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 Muhammad Abdul Kadir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Abdul Kadir more than expected).
Fields of papers citing papers by Muhammad Abdul Kadir
This network shows the impact of papers produced by Muhammad Abdul Kadir. 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 Muhammad Abdul Kadir. The network helps show where Muhammad Abdul Kadir may publish in the future.
Co-authorship network of co-authors of Muhammad Abdul Kadir
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Abdul Kadir. A scholar is included among the top collaborators of Muhammad Abdul Kadir 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 Muhammad Abdul Kadir. Muhammad Abdul Kadir 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 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 26 | |
| 8 | 31 | |
| 9 | 52 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualizationbreakdown → | 375 |
| 13 | Can AI Help in Screening Viral and COVID-19 Pneumonia?breakdown → | 1167 |
| 14 | 58 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | 6 | |
| 20 | 7 |
About Muhammad Abdul Kadir
Muhammad Abdul Kadir is a scholar working on Health Informatics, Human-Computer Interaction and Biomedical Engineering, having authored 34 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (16 papers), Body Composition Measurement Techniques (11 papers) and Microfluidic and Bio-sensing Technologies (10 papers). The work is most often cited by research in Health Informatics (212 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Artificial Intelligence (1.1k citations). Muhammad Abdul Kadir has collaborated with scholars based in Bangladesh, Qatar and Malaysia. Frequent co-authors include Amith Khandakar, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, Khandaker Reajul Islam, Tawsifur Rahman, Mohammad Tariqul Islam, Rashid Mazhar, Mamun Bin Ibne Reaz, Atif Iqbal and Muhammad Salman Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.