R. Parvathi
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
- Advanced Text Analysis Techniques
- Topic Modeling
- Information Systems top 10%
Papers in
-
- Sentiment Analysis and Opinion Mining 4
- AI in cancer detection 4
- Anomaly Detection Techniques and Applications 3
- Co-authors
- A. Kannan (4 shared papers)V. Pattabiraman (5 shared papers)Ishita Dasgupta (1 shared paper)Haya Alaskar (1 shared paper)Abir Hussain (1 shared paper)Thavavel Vaiyapuri (1 shared paper)K. Iyakutti (2 shared papers)Keerthi Ram (1 shared paper)
- Journals
- Results in Engineering (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Arabian Journal for Science and Engineering (1 paper)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (1 paper)Soft Computing (1 paper)
- Partner nations
- IndiaUnited KingdomNepal
In The Last Decade
R. Parvathi
36 papers receiving 247 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 104
- Information Systems 55
- Neurology 16
- Signal Processing 20
- Computer Networks and Communications 38
Countries citing papers authored by R. Parvathi
This map shows the geographic impact of R. Parvathi'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 R. Parvathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Parvathi more than expected).
Fields of papers citing papers by R. Parvathi
This network shows the impact of papers produced by R. Parvathi. 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 R. Parvathi. The network helps show where R. Parvathi may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Parvathi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 33 | |
| 2 | 2019 | 30 | |
| 3 | 2020 | 26 | |
| 4 | 2005 | 26 | |
| 5 | 2022 | 22 | |
| 6 | 2015 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2009 | 7 | |
| 14 | 2025 | 7 | |
| 15 | 2007 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2004 | 4 | |
| 20 | 2009 | 3 |
About R. Parvathi
R. Parvathi is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Communication, having authored 48 papers that have together received 276 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (4 papers), Network Security and Intrusion Detection (4 papers), AI in cancer detection (4 papers), Data Management and Algorithms (3 papers), COVID-19 diagnosis using AI (3 papers), Public Relations and Crisis Communication (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Artificial Intelligence (104 citations), Information Systems (55 citations), Neurology (16 citations), Signal Processing (20 citations) and Computer Networks and Communications (38 citations). R. Parvathi has collaborated with scholars based in India, United Kingdom and Nepal. Frequent co-authors include A. Kannan, V. Pattabiraman, Ishita Dasgupta, Haya Alaskar, Abir Hussain, Thavavel Vaiyapuri, K. Iyakutti, Keerthi Ram, Sunil Jacob and P. G. Shynu. Their work appears in journals such as Results in Engineering, Computers, materials & continua/Computers, materials & continua (Print), Arabian Journal for Science and Engineering, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Soft Computing.
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.