A. Pravin
Impact in
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- Artificial Intelligence in Healthcare
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- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
Papers in
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- IoT and Edge/Fog Computing 7
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- Cloud Computing and Resource Management 5
- Blockchain Technology Applications and Security 2
- Co-authors
- G. Saranya (5 shared papers)T. Prem Jacob (14 shared papers)K. Selvamani (1 shared paper)A. Vijayakumar (1 shared paper)P. Asha (2 shared papers)G. Nagarajan (3 shared papers)R. I. Minu (1 shared paper)Sachee Agrawal (1 shared paper)
In The Last Decade
A. Pravin
41 papers receiving 286 citations
Peers
Comparison fields: 5 of 64
- Health Information Management 58
- Software 18
- Computer Networks and Communications 100
- Health Informatics 4
- Information Systems 67
Countries citing papers authored by A. Pravin
This map shows the geographic impact of A. Pravin'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. Pravin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pravin more than expected).
Fields of papers citing papers by A. Pravin
This network shows the impact of papers produced by A. Pravin. 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. Pravin. The network helps show where A. Pravin may publish in the future.
Co-authors
The 21 scholars most cited alongside A. Pravin, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 40 | |
| 2 | 2016 | 37 | |
| 3 | 2022 | 19 | |
| 4 | 2019 | 19 | |
| 5 | 2013 | 19 | |
| 6 | 2015 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 5 |
About A. Pravin
A. Pravin is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management, having authored 47 papers that have together received 315 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (5 papers), IoT-based Smart Home Systems (4 papers), Video Surveillance and Tracking Methods (3 papers), Customer churn and segmentation (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Health Information Management (58 citations), Software (18 citations), Computer Networks and Communications (100 citations), Health Informatics (4 citations) and Information Systems (67 citations). A. Pravin has collaborated with scholars based in India, Canada and Cyprus. Frequent co-authors include G. Saranya, T. Prem Jacob, K. Selvamani, A. Vijayakumar, P. Asha, G. Nagarajan, R. I. Minu, Sachee Agrawal, Sanjay Chauhan and Bright Brailson Mansingh. Their work appears in journals such as Advances in Complex Systems, ICT Express, Journal of Ambient Intelligence and Humanized Computing, Transactions on Emerging Telecommunications Technologies and 3D Research.
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.