G. Kalyani

639 total citations
30 papers, 241 citations indexed

About

G. Kalyani is a scholar working on Artificial Intelligence, Health Information Management and Plant Science. According to data from OpenAlex, G. Kalyani has authored 30 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Health Information Management and 4 papers in Plant Science. Recurrent topics in G. Kalyani's work include Privacy-Preserving Technologies in Data (5 papers), Imbalanced Data Classification Techniques (5 papers) and Artificial Intelligence in Healthcare (4 papers). G. Kalyani is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Imbalanced Data Classification Techniques (5 papers) and Artificial Intelligence in Healthcare (4 papers). G. Kalyani collaborates with scholars based in India and United States. G. Kalyani's co-authors include B. Janakiramaiah, L V Narasimha Prasad, Shiv Shankar Shukla, Ravindra K. Pandey, R Surendran, Bina Gidwani, M. Padma Lalitha, Krishna Reddy, A. Sivasangari and T. Tamilvizhi and has published in prestigious journals such as Arabian Journal for Science and Engineering, Journal of Intelligent & Fuzzy Systems and Complex & Intelligent Systems.

In The Last Decade

G. Kalyani

19 papers receiving 225 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. Kalyani India 6 96 66 57 47 40 30 241
Shaukat Hayat China 7 164 1.7× 34 0.5× 53 0.9× 103 2.2× 106 2.6× 18 304
Sathiyabhama Balasubramaniam India 11 74 0.8× 146 2.2× 48 0.8× 47 1.0× 4 0.1× 25 304
T. Poongodi India 8 24 0.3× 69 1.0× 43 0.8× 28 0.6× 5 0.1× 28 265
G. R. Sreekanth India 9 24 0.3× 47 0.7× 17 0.3× 47 1.0× 3 0.1× 23 245
Parul Madan India 5 21 0.2× 73 1.1× 59 1.0× 14 0.3× 2 0.1× 28 271
R. Pitchai India 8 43 0.4× 27 0.4× 2 0.0× 59 1.3× 29 0.7× 37 210
Rehan Ali Khan Pakistan 9 50 0.5× 98 1.5× 31 0.5× 41 0.9× 1 0.0× 21 261
Rizwan Majeed Pakistan 8 31 0.3× 76 1.2× 19 0.3× 32 0.7× 15 236
Hamdan Abdellatef Malaysia 9 30 0.3× 135 2.0× 63 1.1× 43 0.9× 1 0.0× 15 287
Kamal Kant Hiran India 9 25 0.3× 63 1.0× 20 0.4× 30 0.6× 1 0.0× 23 236

Countries citing papers authored by G. Kalyani

Since Specialization
Citations

This map shows the geographic impact of G. Kalyani'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. Kalyani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Kalyani more than expected).

Fields of papers citing papers by G. Kalyani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Kalyani. 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. Kalyani. The network helps show where G. Kalyani may publish in the future.

Co-authorship network of co-authors of G. Kalyani

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kalyani. A scholar is included among the top collaborators of G. Kalyani 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. Kalyani. G. Kalyani 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.
Tamilvizhi, T., et al.. (2025). Development of precision medicine for hepatic cancer evolving molecular profiling techniques through artificial intelligence. IET conference proceedings.. 2024(37). 666–672. 1 indexed citations
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Kalyani, G., et al.. (2024). Machine Learning Based Automated Blood Sugar Regulatory System. 1106–1114.
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Surendran, R, et al.. (2024). Classification of Hidden Patterns in Cancer Genome using Deep Learning. 710–715. 4 indexed citations
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Shukla, Shiv Shankar, Ravindra K. Pandey, Bina Gidwani, & G. Kalyani. (2023). Pharmaceutical Calibration, Validation and Qualification: A Comprehensive Approach. 2 indexed citations
12.
Kalyani, G., et al.. (2023). Developing a Pre-Consultation System using Machine Learning for Medical Diagnostics. 257–262. 1 indexed citations
13.
Kalyani, G., et al.. (2023). Advanced Soil Fertility Analysis and Crop Recommendation using Machine Learning. 1035–1039. 6 indexed citations
14.
Kalyani, G., et al.. (2023). Early Detection of Alzheimer’s Disease Using SVM, Random Forest & FNN Algorithms. 1–6. 4 indexed citations
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Kalyani, G., et al.. (2019). A SUSTAINED GREEN SCOURING PROCESS OF COTTON USING IMMOBILIZED PECTINASE ON IRON OXIDE NANOPARTICLES AND ITS REUSABILITY. International Research Journal of Pharmacy. 10(4). 111–116. 1 indexed citations
16.
Kalyani, G., et al.. (2017). Privacy-Preserving Classification Rule Mining for Balancing Data Utility and Knowledge Privacy Using Adapted Binary Firefly Algorithm. Arabian Journal for Science and Engineering. 43(8). 3903–3925. 4 indexed citations
17.
Kalyani, G.. (2016). The Two Finger Test: Legal and Ethical Issue. International Journal of Scientific Research in Science and Technology. 2(2). 81–85.
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Kalyani, G., et al.. (2014). RFID based missing person identification system. 1–4. 6 indexed citations
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Kalyani, G.. (2012). Performance Assessment of Different Classification Techniques for Intrusion Detection. IOSR Journal of Computer Engineering. 7(5). 25–29. 18 indexed citations
20.
Kalyani, G., et al.. (2012). Data Distortion Approaches for Privacy Preserving in Association Rule Mining. 1(6). 579–594. 1 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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