R. Subhashini
Impact in
- Health Information Management top 10%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
-
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 5
- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 4
-
- Spam and Phishing Detection 4
- Co-authors
- V. Jawahar Senthil Kumar (4 shared papers)A. Sivasangari (2 shared papers)Suhas Patil (1 shared paper)Raj Sethuraman (2 shared papers)P. Jeyanthi (1 shared paper)R. Anitha (1 shared paper)Mary Subaja Christo (2 shared papers)R Surendran (2 shared papers)
- Journals
- Indian Journal of Science and Technology (2 papers)Knowledge-Based Systems (1 paper)Neural Processing Letters (1 paper)Journal of Computational and Theoretical Nanoscience (1 paper)National Academy Science Letters (1 paper)
- Partner nations
- IndiaMalaysiaSaudi Arabia
In The Last Decade
R. Subhashini
62 papers receiving 362 citations
Peers
Comparison fields: 5 of 93
- Health Information Management 18
- Artificial Intelligence 126
- Information Systems 77
- Computer Vision and Pattern Recognition 68
- Signal Processing 35
Countries citing papers authored by R. Subhashini
This map shows the geographic impact of R. Subhashini'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. Subhashini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Subhashini more than expected).
Fields of papers citing papers by R. Subhashini
This network shows the impact of papers produced by R. Subhashini. 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. Subhashini. The network helps show where R. Subhashini may publish in the future.
Co-authors
The 24 scholars most cited alongside R. Subhashini, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2010 | 44 | |
| 3 | 2015 | 19 | |
| 4 | 2018 | 18 | |
| 5 | 2010 | 13 | |
| 6 | 2017 | 12 | |
| 7 | 2014 | 11 | |
| 8 | 2014 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2011 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 5 |
About R. Subhashini
R. Subhashini is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 83 papers that have together received 412 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (5 papers), Text and Document Classification Technologies (4 papers), Spam and Phishing Detection (4 papers), IoT-based Smart Home Systems (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Health Information Management (18 citations), Artificial Intelligence (126 citations), Information Systems (77 citations), Computer Vision and Pattern Recognition (68 citations) and Signal Processing (35 citations). R. Subhashini has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include V. Jawahar Senthil Kumar, A. Sivasangari, Suhas Patil, Raj Sethuraman, P. Jeyanthi, R. Anitha, Mary Subaja Christo, R Surendran, J. Joshua Thomas and S. Vigneshwari. Their work appears in journals such as Indian Journal of Science and Technology, Knowledge-Based Systems, Neural Processing Letters, Journal of Computational and Theoretical Nanoscience and National Academy Science Letters.
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.