Md. Ashiqul Islam
- Plant Science
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Md. Sagar HossenTania KhatunMohammad ShahadatShamima AkterMd. Saiful IslamMd. Mizanur RahamanKoushik RoyMd. Mahfujur Rahman
- Topics
- Artificial Intelligence in Healthcare (4 papers)Advanced Steganography and Watermarking Techniques (4 papers)Smart Agriculture and AI (4 papers)
- Journals
- IEEE AccessInternational Journal of Advanced Computer Science and ApplicationsHealth Science Reports
- Partner nations
- BangladeshUnited StatesIndonesia
In The Last Decade
Md. Ashiqul Islam
19 papers receiving 347 citations
Peers
Comparison fields: 5 of 59
- Plant Science 159
- Artificial Intelligence 95
- Health Information Management 75
- Analytical Chemistry 73
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Md. Ashiqul Islam
This map shows the geographic impact of Md. Ashiqul 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. Ashiqul 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. Ashiqul Islam more than expected).
Fields of papers citing papers by Md. Ashiqul Islam
This network shows the impact of papers produced by Md. Ashiqul 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. Ashiqul Islam. The network helps show where Md. Ashiqul Islam may publish in the future.
Co-authorship network of co-authors of Md. Ashiqul Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Ashiqul Islam. A scholar is included among the top collaborators of Md. Ashiqul 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. Ashiqul Islam. Md. Ashiqul 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 | 3 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 94 | |
| 10 | 10 | |
| 11 | 55 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 23 | |
| 17 | 41 | |
| 18 | 43 | |
| 19 | 8 | |
| 20 | 29 |
About Md. Ashiqul Islam
Md. Ashiqul Islam is a scholar working on Health Information Management, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 365 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Health Information Management (75 citations), Analytical Chemistry (73 citations) and Plant Science (159 citations). Md. Ashiqul Islam has collaborated with scholars based in Bangladesh, United States and Indonesia. Frequent co-authors include Md. Sagar Hossen, Tania Khatun, Mohammad Shahadat, Shamima Akter, Md. Saiful Islam, Md. Mizanur Rahaman, Koushik Roy, Md. Mahfujur Rahman, Mohammed Mizanur Rahman and Ahmed Rakib. Their work appears in journals such as IEEE Access, International Journal of Advanced Computer Science and Applications and Health Science Reports.
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.