Md Babul Islam
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Plant Science
- Information Systems
- Co-authors
- S M Masfequier Rahman SwapnoS. M. Nuruzzaman NobelRezaul HaquePiyush Kumar PareekPiyush Kumar ShuklaKeshav KaushikGunjan ChhabraFrancesco Benedetto
- Topics
- Sentiment Analysis and Opinion Mining (4 papers)Anomaly Detection Techniques and Applications (4 papers)Speech and Audio Processing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessNeural Computing and Applications
- Partner nations
- ItalyBangladeshIndia
In The Last Decade
Md Babul Islam
32 papers receiving 334 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 144
- Radiology, Nuclear Medicine and Imaging 43
- Computer Vision and Pattern Recognition 40
- Plant Science 38
- Information Systems 33
Countries citing papers authored by Md Babul Islam
This map shows the geographic impact of Md Babul 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 Babul 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 Babul Islam more than expected).
Fields of papers citing papers by Md Babul Islam
This network shows the impact of papers produced by Md Babul 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 Babul Islam. The network helps show where Md Babul Islam may publish in the future.
Co-authorship network of co-authors of Md Babul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Md Babul Islam. A scholar is included among the top collaborators of Md Babul 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 Babul Islam. Md Babul 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 | 10 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 18 | |
| 12 | 27 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 16 | |
| 17 | 13 | |
| 18 | 15 | |
| 19 | Effect of Financial Entrepreneurship and Literacy Program on Women Empowerment: A Case Study in Khulna District | 6 |
| 20 | 2 |
About Md Babul Islam
Md Babul Islam is a scholar working on Business and International Management, Artificial Intelligence and Health Information Management, having authored 33 papers that have together received 339 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Health Information Management (24 citations), Artificial Intelligence (144 citations) and Neurology (28 citations). Md Babul Islam has collaborated with scholars based in Italy, Bangladesh and India. Frequent co-authors include S M Masfequier Rahman Swapno, S. M. Nuruzzaman Nobel, Rezaul Haque, Piyush Kumar Pareek, Piyush Kumar Shukla, Keshav Kaushik, Gunjan Chhabra, Francesco Benedetto, V. P. Meena and Prashant Kumar Shukla. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.