R. Sasikala
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- Artificial Intelligence in Healthcare 4
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- IoT and Edge/Fog Computing 5
- Caching and Content Delivery 3
- Information Systems top 10%
- Cloud Computing and Resource Management 5
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- Data Stream Mining Techniques 3
- Sentiment Analysis and Opinion Mining 2
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- Biodiesel Production and Applications 2
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- Power Systems and Renewable Energy 2
- Co-authors
- Somula RamasubbareddySravani NalluriS RemyaM. RaveendranHifzur RahmanS. RobinJagadeeshselvam NallathambiD. Sudhakar
- Journals
- SHILAP Revista de lepidopterología (6 papers)Expert Systems with Applications (1 paper)Plant Molecular Biology (1 paper)
In The Last Decade
R. Sasikala
42 papers receiving 339 citations
Peers
Comparison fields: 5 of 91
- Health Information Management 54
- Computer Networks and Communications 74
- Information Systems 70
- Health Informatics 4
- Plant Science 105
Countries citing papers authored by R. Sasikala
This map shows the geographic impact of R. Sasikala'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. Sasikala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Sasikala more than expected).
Fields of papers citing papers by R. Sasikala
This network shows the impact of papers produced by R. Sasikala. 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. Sasikala. The network helps show where R. Sasikala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Sasikala, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 2 | |
| 10 | Development of early maturing, high yielding, drought tolerant rice variety with superior grain quality through molecular breeding and its performance evaluation | 2019 | 3 |
| 11 | 2018 | 18 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 59 | |
| 15 | Marketing Strategies Evolved by Entrepreneurs in Marketing the Coffee Products | 2016 | 1 |
| 16 | 2015 | 6 | |
| 17 | CJ-3 (IC0598611; INGR 14006), a Physic nut (Jatropha curcas L.) Germplasm with High yield, Early Flowering (125 Days) and High Oil Content (38.01%) | 2014 | 1 |
| 18 | Sensitivity of rice varieties to gamma irradiation | 2010 | 20 |
| 19 | Chromosome studies in the genus Jatropha L. | 2010 | 3 |
| 20 | Pollen fertility studies in Jatropha L. | 2009 | 2 |
About R. Sasikala
R. Sasikala is a scholar working on Health Information Management, Medical Laboratory Technology and Energy Engineering and Power Technology, having authored 52 papers that have together received 375 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Cloud Computing and Resource Management (5 papers), Artificial Intelligence in Healthcare (4 papers), Caching and Content Delivery (3 papers), Data Stream Mining Techniques (3 papers), Biodiesel Production and Applications (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Power Systems and Renewable Energy (2 papers). The work is most often cited by research in Health Information Management (54 citations), Computer Networks and Communications (74 citations) and Information Systems (70 citations). R. Sasikala has collaborated with scholars based in India, Oman and Iraq. Frequent co-authors include Somula Ramasubbareddy, Sravani Nalluri, S Remya, M. Raveendran, Hifzur Rahman, S. Robin, Jagadeeshselvam Nallathambi, D. Sudhakar, R. Valarmathi and N. Senthil. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Plant Molecular Biology.
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.