Priya Matta
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- User Authentication and Security Systems
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- IoT and Edge/Fog Computing
Papers in
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- Advanced Malware Detection Techniques 9
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- User Authentication and Security Systems 9
- Co-authors
- Sachin SharmaBhasker PantPiyush AgarwalDeepika SharmaBhaskar PantEmmanuel S. PilliR. C. JoshiAnand Kumar Mishra
- Journals
- Materials Today Proceedings (3 papers)International Journal of Systems Assurance Engineering and Management (1 paper)International Journal of Information Technology (1 paper)Journal of Information Technology Research (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- India
In The Last Decade
Priya Matta
45 papers receiving 332 citations
Peers
Comparison fields: 5 of 71
- Information Systems 112
- Computer Networks and Communications 107
- Health Information Management 18
- Signal Processing 38
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Priya Matta
This map shows the geographic impact of Priya Matta'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 Priya Matta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Matta more than expected).
Fields of papers citing papers by Priya Matta
This network shows the impact of papers produced by Priya Matta. 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 Priya Matta. The network helps show where Priya Matta may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Priya Matta, 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 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 40 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 14 |
About Priya Matta
Priya Matta is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Health Information Management and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 347 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), User Authentication and Security Systems (9 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Advanced Malware Detection Techniques (9 papers), Advanced Authentication Protocols Security (4 papers), Wireless Body Area Networks (4 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Information Systems (112 citations), Computer Networks and Communications (107 citations), Health Information Management (18 citations), Signal Processing (38 citations) and Computer Vision and Pattern Recognition (58 citations). Priya Matta has collaborated with scholars based in India. Frequent co-authors include Sachin Sharma, Bhasker Pant, Piyush Agarwal, Deepika Sharma, Bhaskar Pant, Emmanuel S. Pilli, R. C. Joshi, Anand Kumar Mishra, Umesh Kumar Tiwari and Sonal Sharma. Their work appears in journals such as Materials Today Proceedings, International Journal of Systems Assurance Engineering and Management, International Journal of Information Technology, Journal of Information Technology Research and Procedia Computer Science.
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.