Bonna Akter
Impact in
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- Artificial Intelligence in Healthcare
- Medical Laboratory Technology top 10%
Papers in
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- Smart Agriculture and AI 5
- Plant Disease Management Techniques 4
- Plant Virus Research Studies 2
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- AI in cancer detection 3
- Co-authors
- Rashiduzzaman Shakil (16 shared papers)Aditya Rajbongshi (9 shared papers)Umme Sara (5 shared papers)F. M. Javed Mehedi Shamrat (5 shared papers)Mohammad Shorif Uddin (2 shared papers)Sadia Islam (1 shared paper)Al Amin Biswas (1 shared paper)Francis M. Bui (1 shared paper)
- Journals
- Data in Brief (5 papers)Array (2 papers)Journal of Pathology Informatics (1 paper)Bulletin of Electrical Engineering and Informatics (1 paper)2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (1 paper)
- Partner nations
- BangladeshMalaysiaAustralia
In The Last Decade
Bonna Akter
15 papers receiving 208 citations
Peers
Comparison fields: 5 of 47
- Health Information Management 45
- Medical Laboratory Technology 8
- Analytical Chemistry 42
- Health Informatics 4
- Neurology 24
Countries citing papers authored by Bonna Akter
This map shows the geographic impact of Bonna Akter'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 Bonna Akter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bonna Akter more than expected).
Fields of papers citing papers by Bonna Akter
This network shows the impact of papers produced by Bonna Akter. 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 Bonna Akter. The network helps show where Bonna Akter may publish in the future.
Co-authors
The 18 scholars most cited alongside Bonna Akter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2024 | 30 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2024 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 0 |
About Bonna Akter
Bonna Akter is a scholar working on Plant Science, Artificial Intelligence, Health Information Management, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 16 papers that have together received 217 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Plant Disease Management Techniques (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Artificial Intelligence in Healthcare (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Health Information Management (45 citations), Medical Laboratory Technology (8 citations), Analytical Chemistry (42 citations), Health Informatics (4 citations) and Neurology (24 citations). Bonna Akter has collaborated with scholars based in Bangladesh, Malaysia and Australia. Frequent co-authors include Rashiduzzaman Shakil, Aditya Rajbongshi, Umme Sara, F. M. Javed Mehedi Shamrat, Mohammad Shorif Uddin, Sadia Islam, Al Amin Biswas, Francis M. Bui, Kawsar Ahmed and Mohammad Ali Moni. Their work appears in journals such as Data in Brief, Array, Journal of Pathology Informatics, Bulletin of Electrical Engineering and Informatics and 2022 6th International Conference on Computing Methodologies and Communication (ICCMC).
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.