G. Rekha
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Imbalanced Data Classification Techniques 5
- Machine Learning and Data Classification 3
- Anomaly Detection Techniques and Applications 2
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- Electricity Theft Detection Techniques 3
- Co-authors
- Amit Kumar Tyagi (10 shared papers)N. Sreenath (4 shared papers)Somula Ramasubbareddy (2 shared papers)K. Govinda (2 shared papers)Shashvi Mishra (1 shared paper)Shaveta Malik (1 shared paper)B. Uma Maheswari (1 shared paper)Meghna Manoj Nair (1 shared paper)
- Journals
- Computer Methods in Biomechanics & Biomedical Engineering (1 paper)Scientific Reports (1 paper)Journal of Neuroscience Methods (1 paper)Journal of Computational and Theoretical Nanoscience (1 paper)Intelligent Decision Technologies (1 paper)
In The Last Decade
G. Rekha
16 papers receiving 160 citations
Peers
Comparison fields: 5 of 52
- Health Information Management 17
- Computer Networks and Communications 47
- Artificial Intelligence 65
- Information Systems 40
- Health Informatics 2
Countries citing papers authored by G. Rekha
This map shows the geographic impact of G. Rekha'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 G. Rekha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Rekha more than expected).
Fields of papers citing papers by G. Rekha
This network shows the impact of papers produced by G. Rekha. 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 G. Rekha. The network helps show where G. Rekha may publish in the future.
Co-authors
The 11 scholars most cited alongside G. Rekha, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2019 | 13 | |
| 3 | 2019 | 12 | |
| 4 | 2019 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2013 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About G. Rekha
G. Rekha is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 24 papers that have together received 172 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (5 papers), Blockchain Technology Applications and Security (3 papers), Electricity Theft Detection Techniques (3 papers), Machine Learning and Data Classification (3 papers), Digital and Cyber Forensics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Financial Distress and Bankruptcy Prediction (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Health Information Management (17 citations), Computer Networks and Communications (47 citations), Artificial Intelligence (65 citations), Information Systems (40 citations) and Health Informatics (2 citations). G. Rekha has collaborated with scholars based in India, Nepal and Nigeria. Frequent co-authors include Amit Kumar Tyagi, N. Sreenath, Somula Ramasubbareddy, K. Govinda, Shashvi Mishra, Shaveta Malik, B. Uma Maheswari, Meghna Manoj Nair, Anjali Yadav and D. Biswas. Their work appears in journals such as Computer Methods in Biomechanics & Biomedical Engineering, Scientific Reports, Journal of Neuroscience Methods, Journal of Computational and Theoretical Nanoscience and Intelligent Decision Technologies.
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.