A. Priya
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
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- Mental Health Research Topics
- Emotion and Mood Recognition
Papers in ⓘ
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- Brain Tumor Detection and Classification 3
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- Advanced Neural Network Applications 2
- Face recognition and analysis 2
- Co-authors
- Neha Prerna Tigga (1 shared paper)Shruti Garg (1 shared paper)V. Vasudevan (2 shared papers)Abhinav Kumar (1 shared paper)S. Ramkumar (1 shared paper)G. Charlyn Pushpa Latha (1 shared paper)T. Rajendran (1 shared paper)S. Sekar (1 shared paper)
In The Last Decade
A. Priya
21 papers receiving 354 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Applied Psychology 78
- Experimental and Cognitive Psychology 109
- Social Psychology 97
- Health Information Management 21
- Health Informatics 5
Countries citing papers authored by A. Priya
This map shows the geographic impact of A. Priya'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 A. Priya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Priya more than expected).
Fields of papers citing papers by A. Priya
This network shows the impact of papers produced by A. Priya. 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 A. Priya. The network helps show where A. Priya may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Priya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Anxiety, Depression and Stress in Modern Life using Machine Learning Algorithms Hit paper breakdown → | 2020 | 244 |
| 2 | 2020 | 31 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 15 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 2 | |
| 12 | CARRIER SYNCHRONIZATION IN SOFTWARE DEFINED RADIO FOR 8PSK | 2013 | 2 |
| 13 | Cyclone Prone Areas in Tamil Nadu State - A Geospatial Approach | 2015 | 2 |
| 14 | 2016 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About A. Priya
A. Priya is a scholar working on Neurology, Computer Vision and Pattern Recognition, Media Technology, Management Information Systems and Marketing, having authored 27 papers that have together received 377 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (3 papers), Mental Health via Writing (2 papers), Advanced Neural Network Applications (2 papers), Big Data and Business Intelligence (2 papers), Mental Health Research Topics (2 papers), Face recognition and analysis (2 papers), Advanced Wireless Communication Techniques (2 papers) and Underwater Vehicles and Communication Systems (2 papers). The work is most often cited by research in Applied Psychology (78 citations), Experimental and Cognitive Psychology (109 citations), Social Psychology (97 citations), Health Information Management (21 citations) and Health Informatics (5 citations). A. Priya has collaborated with scholars based in India, Australia and Singapore. Frequent co-authors include Neha Prerna Tigga, Shruti Garg, V. Vasudevan, Abhinav Kumar, S. Ramkumar, G. Charlyn Pushpa Latha, T. Rajendran, S. Sekar, P. Sriramakrishnan and N. Sivakumar. Their work appears in journals such as Indian Journal of Science and Technology, Optical Memory and Neural Networks, Journal of Ambient Intelligence and Humanized Computing, Biomedical Signal Processing and Control and Plasmonics.
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.