G. Rekha

475 total citations
20 papers, 172 citations indexed

About

G. Rekha is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, G. Rekha has authored 20 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in G. Rekha's work include Imbalanced Data Classification Techniques (5 papers), Electricity Theft Detection Techniques (3 papers) and Machine Learning and Data Classification (3 papers). G. Rekha is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Electricity Theft Detection Techniques (3 papers) and Machine Learning and Data Classification (3 papers). G. Rekha collaborates with scholars based in India, Syria and Nepal. G. Rekha's co-authors include Amit Kumar Tyagi, N. Sreenath, Somula Ramasubbareddy, K. Govinda, Shashvi Mishra, Shaveta Malik, B. Uma Maheswari, Meghna Manoj Nair and Anjali Yadav and has published in prestigious journals such as Scientific Reports, Computer Methods in Biomechanics & Biomedical Engineering and Journal of Computational and Theoretical Nanoscience.

In The Last Decade

G. Rekha

16 papers receiving 160 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Rekha India 7 65 47 40 31 17 20 172
Noreddine Gherabi Morocco 9 80 1.2× 22 0.5× 36 0.9× 21 0.7× 39 2.3× 48 177
Shantanu Sharma United States 8 80 1.2× 101 2.1× 68 1.7× 35 1.1× 3 0.2× 34 204
Shailesh Khapre India 6 55 0.8× 51 1.1× 70 1.8× 14 0.5× 7 0.4× 16 144
Özgü Can Türkiye 8 99 1.5× 74 1.6× 100 2.5× 12 0.4× 12 0.7× 41 220
Sandeep Dalal India 9 34 0.5× 77 1.6× 101 2.5× 16 0.5× 5 0.3× 45 195
Sajedul Talukder United States 8 65 1.0× 43 0.9× 58 1.4× 9 0.3× 6 0.4× 28 147
Junfeng Zhao China 5 61 0.9× 119 2.5× 139 3.5× 19 0.6× 4 0.2× 18 207
R. Khare United States 6 84 1.3× 107 2.3× 119 3.0× 15 0.5× 3 0.2× 14 184
R. Housley 3 48 0.7× 94 2.0× 47 1.2× 38 1.2× 2 0.1× 3 168
Rajneesh Kler India 6 35 0.5× 23 0.5× 20 0.5× 8 0.3× 5 0.3× 31 204

Countries citing papers authored by G. Rekha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of G. Rekha

This figure shows the co-authorship network connecting the top 25 collaborators of G. Rekha. A scholar is included among the top collaborators of G. Rekha 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 G. Rekha. G. Rekha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rekha, G., et al.. (2025). Unassailable citrus disease classification via multi-stage deep ensemble learning with vision transformers. Scientific Reports. 15(1). 40573–40573.
3.
Rekha, G., et al.. (2024). A hybrid capsule attention-based convolutional bi-GRU method for multi-class mental task classification based brain-computer Interface. Computer Methods in Biomechanics & Biomedical Engineering. 28(1). 90–106.
4.
Rekha, G., et al.. (2023). A NOVEL APPROACH IN HILL CIPHER CRYPTOGRAPHY. 11(6). 1 indexed citations
5.
Rekha, G., Amit Kumar Tyagi, N. Sreenath, & Shashvi Mishra. (2021). Class Imbalanced Data: Open Issues and Future Research Directions. 1–6. 9 indexed citations
6.
Rekha, G. & B. Uma Maheswari. (2021). Raspberry Pi Forensic Investigation and Evidence Preservation using Blockchain. 1–5. 4 indexed citations
7.
Rekha, G., et al.. (2020). Emerging Trends and Challenges in Data Science and Big Data Analytics. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 11 indexed citations
8.
Rekha, G., et al.. (2020). Distance-based Bootstrap Sampling in Bagging for Imbalanced Data-Set. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 1. 1–6. 5 indexed citations
9.
Tyagi, Amit Kumar, et al.. (2020). Role of Emerging Technologies in COVID 19: Analyses, Predictions, and Future Countermeasures. SSRN Electronic Journal. 2 indexed citations
10.
Rekha, G., et al.. (2019). Prediction of Stock Market Using Neural Network Strategies. Journal of Computational and Theoretical Nanoscience. 16(5). 2333–2336. 12 indexed citations
11.
Tyagi, Amit Kumar, et al.. (2019). How a User will Look the Connections of Internet of Things Devices?: A Smarter Look of Smarter Environment. SSRN Electronic Journal. 2 indexed citations
12.
Yadav, Anjali, et al.. (2019). Necessity of Blockchain for Building Trust in Today’s Applications: An Useful Explanation from User’s Perspective. SSRN Electronic Journal. 1 indexed citations
13.
Tyagi, Amit Kumar & G. Rekha. (2019). Machine Learning with Big Data. SSRN Electronic Journal. 12 indexed citations
14.
Rekha, G., et al.. (2019). A High Gain Medium Power Audio Amplifier Circuit. 491–495. 1 indexed citations
15.
Rekha, G., et al.. (2019). Solving class imbalance problem using bagging, boosting techniques, with and without using noise filtering method. International Journal of Hybrid Intelligent Systems. 15(2). 67–76. 12 indexed citations
16.
Rekha, G., et al.. (2019). Performance Analysis of Under-Sampling and Over-Sampling Techniques for Solving Class Imbalance Problem. SSRN Electronic Journal. 6 indexed citations
17.
Tyagi, Amit Kumar, G. Rekha, & N. Sreenath. (2018). Is your Privacy Safe with Aadhaar?: An Open Discussion. 318–323. 3 indexed citations
18.
Rekha, G., et al.. (2018). Ozone Layer Concentration Prediction Using Machine Learning Techniques. SSRN Electronic Journal. 2 indexed citations
20.
Rekha, G., et al.. (2013). An Efficient Design of 3bit and 4bit Flash ADC. International Journal of Computer Applications. 61(11). 32–37. 5 indexed citations

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.

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