Puspanjali Mohapatra
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Health Information Management top 2%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jayashree PiriSujata ChakravartyS. ChakravartyP.K. DashBiswaranjan AcharyaVassilis C. GerogiannisAndreas KanavosFarhad Soleimanian Gharehchopogh
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Gene expression and cancer classification (8 papers)Machine Learning and ELM (7 papers)
In The Last Decade
Puspanjali Mohapatra
33 papers receiving 631 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 385
- Computer Vision and Pattern Recognition 127
- Molecular Biology 98
- Health Information Management 76
- Computational Theory and Mathematics 73
Countries citing papers authored by Puspanjali Mohapatra
This map shows the geographic impact of Puspanjali Mohapatra'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 Puspanjali Mohapatra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puspanjali Mohapatra more than expected).
Fields of papers citing papers by Puspanjali Mohapatra
This network shows the impact of papers produced by Puspanjali Mohapatra. 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 Puspanjali Mohapatra. The network helps show where Puspanjali Mohapatra may publish in the future.
Co-authorship network of co-authors of Puspanjali Mohapatra
This figure shows the co-authorship network connecting the top 25 collaborators of Puspanjali Mohapatra. A scholar is included among the top collaborators of Puspanjali Mohapatra 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 Puspanjali Mohapatra. Puspanjali Mohapatra 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 72 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 88 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | 26 | |
| 19 | Gastronomy and its impact on Tourism: A Case study on Regional Cuisine of Coastal Odisha, India | 6 |
| 20 | 113 |
About Puspanjali Mohapatra
Puspanjali Mohapatra is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 39 papers that have together received 663 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Gene expression and cancer classification (8 papers) and Machine Learning and ELM (7 papers). The work is most often cited by research in Health Information Management (76 citations), Artificial Intelligence (385 citations) and Health Informatics (12 citations). Puspanjali Mohapatra has collaborated with scholars based in India, Greece and Malaysia. Frequent co-authors include Jayashree Piri, Sujata Chakravarty, S. Chakravarty, P.K. Dash, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Farhad Soleimanian Gharehchopogh, Manas Ranjan Pradhan and Swati Vipsita. Their work appears in journals such as IEEE Access, Computers in Biology and Medicine and Multimedia Tools 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.