D. Kavitha
Impact in
-
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- IoT and Edge/Fog Computing 11
- Network Security and Intrusion Detection 5
-
- Internet of Things and AI 4
- Co-authors
- S. Ravikumar (6 shared papers)R. Sujatha (1 shared paper)R. Umamaheswari (1 shared paper)Rahul Sharma (1 shared paper)R. Anitha (1 shared paper)M. Siva Ramkumar (1 shared paper)Ram Mohana Reddy Guddeti (1 shared paper)Akey Sungheetha (1 shared paper)
In The Last Decade
D. Kavitha
31 papers receiving 312 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 110
- Computer Science Applications 25
- Information Systems 99
- Artificial Intelligence 93
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by D. Kavitha
This map shows the geographic impact of D. Kavitha'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 D. Kavitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Kavitha more than expected).
Fields of papers citing papers by D. Kavitha
This network shows the impact of papers produced by D. Kavitha. 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 D. Kavitha. The network helps show where D. Kavitha may publish in the future.
Co-authors
The 9 scholars most cited alongside D. Kavitha, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2021 | 48 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 22 | |
| 5 | Learner retention in MOOC environment: Analyzing the role of motivation, self-efficacy and perceived effectiveness | 2018 | 21 |
| 6 | 2022 | 17 | |
| 7 | 2024 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2023 | 12 | |
| 11 | 2021 | 8 | |
| 12 | 2017 | 8 | |
| 13 | Search Engines:A Study | 2011 | 5 |
| 14 | 2020 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2015 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 3 | |
| 20 | Effective Disaster Management by Efficient Usage of Resources | 2016 | 2 |
About D. Kavitha
D. Kavitha is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 338 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Network Security and Intrusion Detection (5 papers), IoT and GPS-based Vehicle Safety Systems (4 papers), Advanced Malware Detection Techniques (4 papers), Context-Aware Activity Recognition Systems (4 papers), Internet of Things and AI (4 papers), COVID-19 diagnosis using AI (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Computer Networks and Communications (110 citations), Computer Science Applications (25 citations), Information Systems (99 citations), Artificial Intelligence (93 citations) and Computer Vision and Pattern Recognition (59 citations). D. Kavitha has collaborated with scholars based in India, Taiwan and Egypt. Frequent co-authors include S. Ravikumar, R. Sujatha, R. Umamaheswari, Rahul Sharma, R. Anitha, M. Siva Ramkumar, Ram Mohana Reddy Guddeti, Akey Sungheetha and M. K. Jindal. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, IEEE Access, Journal of Field Robotics, Scientific Reports 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.