Prashant Singh Rana
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 5
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- Advanced Neural Network Applications 4
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- Network Security and Intrusion Detection 5
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- Computational Drug Discovery Methods 10
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 4
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- Supply Chain Resilience and Risk Management 5
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- vaccines and immunoinformatics approaches 4
- Co-authors
- Neeraj KumarNishtha HoodaVishan Kumar GuptaHarpreet SinghSeema BawaNeeru JindalVinay AroraAnil Kumar
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Access (1 paper)Sustainability (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited Kingdom
In The Last Decade
Prashant Singh Rana
92 papers receiving 855 citations
Peers
Comparison fields: 5 of 143
- Health Informatics 13
- Health Information Management 34
- Artificial Intelligence 200
- Computer Vision and Pattern Recognition 109
- Computer Networks and Communications 94
Countries citing papers authored by Prashant Singh Rana
This map shows the geographic impact of Prashant Singh Rana'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 Prashant Singh Rana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Singh Rana more than expected).
Fields of papers citing papers by Prashant Singh Rana
This network shows the impact of papers produced by Prashant Singh Rana. 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 Prashant Singh Rana. The network helps show where Prashant Singh Rana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prashant Singh Rana, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 40 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 28 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2018 | 15 |
About Prashant Singh Rana
Prashant Singh Rana is a scholar working on Computer Vision and Pattern Recognition, Management Information Systems and Health Informatics, having authored 103 papers that have together received 901 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Supply Chain Resilience and Risk Management (5 papers), COVID-19 diagnosis using AI (4 papers), Advanced Neural Network Applications (4 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (34 citations) and Artificial Intelligence (200 citations). Prashant Singh Rana has collaborated with scholars based in India, Saudi Arabia and United Kingdom. Frequent co-authors include Neeraj Kumar, Nishtha Hooda, Vishan Kumar Gupta, Harpreet Singh, Seema Bawa, Neeru Jindal, Vinay Arora, Anil Kumar, Jasminder Kaur Sandhu and Piyush Singhal. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.
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.