Md. Robiul Islam
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering top 10%
- Co-authors
- Md. NahiduzzamanMd. Hafiz AhamedZinat TasneemMd. Shamim AnowerMd. Omaer Faruq GoniSajal K. DasJulfikar HaiderMominul Ahsan
- Topics
- Digital Imaging for Blood Diseases (8 papers)COVID-19 diagnosis using AI (8 papers)Wind Energy Research and Development (5 papers)
- Cited by
- Health Information ManagementRadiology, Nuclear Medicine and ImagingIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologyExpert Systems with Applications
- Partner nations
- BangladeshQatarAustralia
In The Last Decade
Md. Robiul Islam
59 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Radiology, Nuclear Medicine and Imaging 405
- Electrical and Electronic Engineering 305
- Artificial Intelligence 289
- Computer Vision and Pattern Recognition 279
- Biomedical Engineering 255
Countries citing papers authored by Md. Robiul Islam
This map shows the geographic impact of Md. Robiul Islam'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 Md. Robiul Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Robiul Islam more than expected).
Fields of papers citing papers by Md. Robiul Islam
This network shows the impact of papers produced by Md. Robiul Islam. 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 Md. Robiul Islam. The network helps show where Md. Robiul Islam may publish in the future.
Co-authorship network of co-authors of Md. Robiul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Robiul Islam. A scholar is included among the top collaborators of Md. Robiul Islam 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 Md. Robiul Islam. Md. Robiul Islam 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 | 2 | |
| 4 | 0 | |
| 5 | 31 | |
| 6 | 8 | |
| 7 | Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifierbreakdown → | 80 |
| 8 | 48 | |
| 9 | 22 | |
| 10 | 16 | |
| 11 | 65 | |
| 12 | 0 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 46 | |
| 16 | Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus imagesbreakdown → | 98 |
| 17 | 89 | |
| 18 | 42 | |
| 19 | 112 | |
| 20 | 6 |
About Md. Robiul Islam
Md. Robiul Islam is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), COVID-19 diagnosis using AI (8 papers) and Wind Energy Research and Development (5 papers). The work is most often cited by research in Health Information Management (115 citations), Radiology, Nuclear Medicine and Imaging (405 citations) and Industrial and Manufacturing Engineering (158 citations). Md. Robiul Islam has collaborated with scholars based in Bangladesh, Qatar and Australia. Frequent co-authors include Md. Nahiduzzaman, Md. Hafiz Ahamed, Zinat Tasneem, Md. Shamim Anower, Md. Omaer Faruq Goni, Sajal K. Das, Julfikar Haider, Mominul Ahsan, Md. Firoj Ali and Hiroyuki HANIU. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Expert Systems with 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.