Sashikanta Prusty
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Health Information Management top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Srikanta PatnaikSujit Kumar DashDebasish Swapnesh Kumar NayakQiyang ChenGobinda DasNitin RakeshAjit Kumar NayakSaurabh Bhattacharya
- Topics
- AI in cancer detection (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Stock Market Forecasting Methods (3 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in Human NeuroscienceEngineering Applications of Artificial Intelligence
- Partner nations
- IndiaUnited StatesNigeria
In The Last Decade
Sashikanta Prusty
17 papers receiving 205 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 80
- Radiology, Nuclear Medicine and Imaging 37
- Health Information Management 20
- Electrical and Electronic Engineering 18
- Computer Vision and Pattern Recognition 18
Countries citing papers authored by Sashikanta Prusty
This map shows the geographic impact of Sashikanta Prusty'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 Sashikanta Prusty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sashikanta Prusty more than expected).
Fields of papers citing papers by Sashikanta Prusty
This network shows the impact of papers produced by Sashikanta Prusty. 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 Sashikanta Prusty. The network helps show where Sashikanta Prusty may publish in the future.
Co-authorship network of co-authors of Sashikanta Prusty
This figure shows the co-authorship network connecting the top 25 collaborators of Sashikanta Prusty. A scholar is included among the top collaborators of Sashikanta Prusty 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 Sashikanta Prusty. Sashikanta Prusty 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 | 2 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancerbreakdown → | 137 |
| 16 | 6 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Sashikanta Prusty
Sashikanta Prusty is a scholar working on Health Information Management, Management Science and Operations Research and Neurology, having authored 22 papers that have together received 213 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Health Information Management (20 citations), Artificial Intelligence (80 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Sashikanta Prusty has collaborated with scholars based in India, United States and Nigeria. Frequent co-authors include Srikanta Patnaik, Sujit Kumar Dash, Debasish Swapnesh Kumar Nayak, Qiyang Chen, Gobinda Das, Nitin Rakesh, Ajit Kumar Nayak and Saurabh Bhattacharya. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Human Neuroscience and Engineering Applications of Artificial Intelligence.
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.