Papel Chandra
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
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- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- AI in cancer detection
Papers in
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- Business Process Modeling and Analysis 1
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- Artificial Intelligence in Healthcare 1
Papel Chandra
2 papers receiving 39 citations
Peers
Comparison fields: 5 of 25
- Radiology, Nuclear Medicine and Imaging 10
- Artificial Intelligence 9
- Computer Vision and Pattern Recognition 5
- Marketing 2
- Human-Computer Interaction 1
Countries citing papers authored by Papel Chandra
This map shows the geographic impact of Papel Chandra'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 Papel Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Papel Chandra more than expected).
Fields of papers citing papers by Papel Chandra
This network shows the impact of papers produced by Papel Chandra. 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 Papel Chandra. The network helps show where Papel Chandra may publish in the future.
Co-authors
The 7 scholars most cited alongside Papel Chandra, 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 | 26 | |
| 2 | 2024 | 14 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 |
About Papel Chandra
Papel Chandra is a scholar working on Management Information Systems, Health Information Management, Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 4 papers that have together received 40 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Business Process Modeling and Analysis (1 paper), Digital Imaging for Blood Diseases (1 paper), Manufacturing Process and Optimization (1 paper), Advanced Chemical Sensor Technologies (1 paper), Emotion and Mood Recognition (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (10 citations), Artificial Intelligence (9 citations), Computer Vision and Pattern Recognition (5 citations), Marketing (2 citations) and Human-Computer Interaction (1 citation). Papel Chandra has collaborated with scholars based in Bangladesh, United States and Malaysia. Frequent co-authors include Md. Tabil Ahammed, Sudipto Ghosh, Md. Mahfuzur Rahman, Aminul Islam, J. Bino, Udaya Mouni Boppana and Shirin Sultana.
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.