S. Sridevi
- Artificial Intelligence top 10%
- Plant Science
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kalaiarasi Sonai Muthu AnbananthenS. RajaramT. SaranyaC. DeisyG. ManikandanS. ParthasarathyL. RameshMd Mohsin
- Topics
- Time Series Analysis and Forecasting (5 papers)Stock Market Forecasting Methods (2 papers)Data Stream Mining Techniques (2 papers)
- Cited by
- Signal ProcessingManagement Science and Operations ResearchComputer Networks and Communications
In The Last Decade
S. Sridevi
20 papers receiving 321 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 92
- Plant Science 72
- Computer Networks and Communications 68
- Signal Processing 56
- Electrical and Electronic Engineering 56
Countries citing papers authored by S. Sridevi
This map shows the geographic impact of S. Sridevi'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 S. Sridevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sridevi more than expected).
Fields of papers citing papers by S. Sridevi
This network shows the impact of papers produced by S. Sridevi. 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 S. Sridevi. The network helps show where S. Sridevi may publish in the future.
Co-authorship network of co-authors of S. Sridevi
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sridevi. A scholar is included among the top collaborators of S. Sridevi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Sridevi. S. Sridevi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | A comparative study of deep learning and Internet of Things for precision agriculturebreakdown → | 114 |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 65 | |
| 9 | AN EFFECTIVE PREDICTION SYSTEM FOR TIME SERIES DATA USING PATTERN MATCHING ALGORITHMS | 4 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 86 | |
| 13 | 6 | |
| 14 | THE QUALITY OF EDUCATION IN TAMILNADU | 3 |
| 15 | Online Inspection of Printed Circuit BoardUsing Machine Vision | 2 |
| 16 | Analysis of operating efficiency of two and three wheeler sector of Indian automobile industry | 2 |
| 17 | Detecting and Revamping of X-Outliers in Time Series Database | 2 |
| 18 | 25 | |
| 19 | 3 | |
| 20 | 2 |
About S. Sridevi
S. Sridevi is a scholar working on Signal Processing, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 343 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (5 papers), Stock Market Forecasting Methods (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Signal Processing (56 citations), Management Science and Operations Research (42 citations) and Computer Networks and Communications (68 citations). S. Sridevi has collaborated with scholars based in Malaysia and India. Frequent co-authors include Kalaiarasi Sonai Muthu Anbananthen, S. Rajaram, T. Saranya, C. Deisy, G. Manikandan, S. Parthasarathy, L. Ramesh, Md Mohsin, Bandi Kamaiah and S. Abirami. Their work appears in journals such as IEEE Access, Engineering Applications of Artificial Intelligence and Biomedical Signal Processing and Control.
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.