Prableen Kaur
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
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- Artificial Intelligence in Healthcare 5
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- Big Data and Business Intelligence 2
- Co-authors
- Manik Sharma (8 shared papers)Mamta Mittal (1 shared paper)Ritu Gautam (2 shared papers)Samriti Sharma (1 shared paper)Andrew B. Reinmann (1 shared paper)
- Journals
- Archives of Computational Methods in Engineering (2 papers)Frontiers in Forests and Global Change (1 paper)Journal of Medical Systems (1 paper)Psychiatria Danubina (1 paper)International Journal of Information System Modeling and Design (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Prableen Kaur
9 papers receiving 449 citations
Peers
Comparison fields: 5 of 99
- Health Information Management 82
- Health Informatics 21
- Artificial Intelligence 226
- Neurology 27
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Prableen Kaur
This map shows the geographic impact of Prableen Kaur'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 Prableen Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prableen Kaur more than expected).
Fields of papers citing papers by Prableen Kaur
This network shows the impact of papers produced by Prableen Kaur. 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 Prableen Kaur. The network helps show where Prableen Kaur may publish in the future.
Co-authors
The 5 scholars most cited alongside Prableen Kaur, 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 | 2020 | 214 | |
| 2 | 2018 | 132 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 41 | |
| 5 | 2017 | 16 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2024 | 0 |
About Prableen Kaur
Prableen Kaur is a scholar working on Health Information Management, Management Information Systems, Artificial Intelligence, Experimental and Cognitive Psychology and Molecular Biology, having authored 10 papers that have together received 486 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Big Data and Business Intelligence (2 papers), Autism Spectrum Disorder Research (1 paper), Plant Water Relations and Carbon Dynamics (1 paper), Brain Tumor Detection and Classification (1 paper), Virtual Reality Applications and Impacts (1 paper), Impact of AI and Big Data on Business and Society (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Health Information Management (82 citations), Health Informatics (21 citations), Artificial Intelligence (226 citations), Neurology (27 citations) and Computer Vision and Pattern Recognition (55 citations). Prableen Kaur has collaborated with scholars based in India and United States. Frequent co-authors include Manik Sharma, Mamta Mittal, Ritu Gautam, Samriti Sharma and Andrew B. Reinmann. Their work appears in journals such as Archives of Computational Methods in Engineering, Frontiers in Forests and Global Change, Journal of Medical Systems, Psychiatria Danubina and International Journal of Information System Modeling and Design.
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.