Aishwariya Dutta
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Signal Processing
- Co-authors
- Md. Kamrul HasanMd. Tasnim JawadMd. Abdul AwalSunanda DasMd. Ashraful AlamMohiuddin AhmadShidhartho RoyMehedi Masud
- Topics
- Artificial Intelligence in Healthcare (2 papers)Imbalanced Data Classification Techniques (1 paper)Statistics Education and Methodologies (1 paper)
- Cited by
- Health Information ManagementArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- IEEE AccessInternational Journal of Environmental Research and Public HealthInformatics in Medicine Unlocked
- Partner nations
- BangladeshSaudi ArabiaAustralia
In The Last Decade
Aishwariya Dutta
5 papers receiving 199 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 105
- Health Information Management 70
- Computer Vision and Pattern Recognition 38
- Radiology, Nuclear Medicine and Imaging 25
- Signal Processing 14
Countries citing papers authored by Aishwariya Dutta
This map shows the geographic impact of Aishwariya Dutta'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 Aishwariya Dutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aishwariya Dutta more than expected).
Fields of papers citing papers by Aishwariya Dutta
This network shows the impact of papers produced by Aishwariya Dutta. 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 Aishwariya Dutta. The network helps show where Aishwariya Dutta may publish in the future.
Co-authorship network of co-authors of Aishwariya Dutta
This figure shows the co-authorship network connecting the top 25 collaborators of Aishwariya Dutta. A scholar is included among the top collaborators of Aishwariya Dutta 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 Aishwariya Dutta. Aishwariya Dutta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 65 | |
| 3 | 39 | |
| 4 | 81 | |
| 5 | 17 |
About Aishwariya Dutta
Aishwariya Dutta is a scholar working on Health Information Management, Statistics, Probability and Uncertainty and Obstetrics and Gynecology, having authored 5 papers that have together received 204 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Imbalanced Data Classification Techniques (1 paper) and Statistics Education and Methodologies (1 paper). The work is most often cited by research in Health Information Management (70 citations), Artificial Intelligence (105 citations) and Computer Vision and Pattern Recognition (38 citations). Aishwariya Dutta has collaborated with scholars based in Bangladesh, Saudi Arabia and Australia. Frequent co-authors include Md. Kamrul Hasan, Md. Tasnim Jawad, Md. Abdul Awal, Sunanda Das, Md. Ashraful Alam, Mohiuddin Ahmad, Shidhartho Roy, Mehedi Masud, Md. Akhtarul Islam and Hossam Meshref. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health and Informatics in Medicine Unlocked.
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.