Sushruta Mishra
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Health Information Management top 1%
- Computer Networks and Communications top 10%
- Co-authors
- Hrudaya Kumar TripathyPradeep Kumar MallickVandana SharmaAkash Kumar BhoiAhmed AlkhayyatPaolo BarsocchiHiren Kumar ThakkarBrojo Kishore Mishra
- Topics
- Artificial Intelligence in Healthcare (14 papers)Imbalanced Data Classification Techniques (7 papers)Smart Agriculture and AI (7 papers)
- Journals
- PLoS ONEScientific ReportsSensors
- Partner nations
- IndiaIraqUnited Kingdom
In The Last Decade
Sushruta Mishra
73 papers receiving 980 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 288
- Computer Vision and Pattern Recognition 155
- Information Systems 149
- Health Information Management 143
- Computer Networks and Communications 140
Countries citing papers authored by Sushruta Mishra
This map shows the geographic impact of Sushruta Mishra'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 Sushruta Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushruta Mishra more than expected).
Fields of papers citing papers by Sushruta Mishra
This network shows the impact of papers produced by Sushruta Mishra. 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 Sushruta Mishra. The network helps show where Sushruta Mishra may publish in the future.
Co-authorship network of co-authors of Sushruta Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Sushruta Mishra. A scholar is included among the top collaborators of Sushruta Mishra 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 Sushruta Mishra. Sushruta Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | Building a new model for feature optimization in agricultural sectors | 0 |
About Sushruta Mishra
Sushruta Mishra is a scholar working on Health Information Management, Artificial Intelligence and Computer Science Applications, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), Imbalanced Data Classification Techniques (7 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Health Information Management (143 citations), Health Informatics (21 citations) and Artificial Intelligence (288 citations). Sushruta Mishra has collaborated with scholars based in India, Iraq and United Kingdom. Frequent co-authors include Hrudaya Kumar Tripathy, Pradeep Kumar Mallick, Vandana Sharma, Akash Kumar Bhoi, Ahmed Alkhayyat, Paolo Barsocchi, Hiren Kumar Thakkar, Brojo Kishore Mishra, Kshira Sagar Sahoo and Lambodar Jena. Their work appears in journals such as PLoS ONE, Scientific Reports and Sensors.
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.