G. Kalyani

85 total papers · 629 total citations
31 papers, 232 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 31 papers receiving a total of 232 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 Imbalanced Data Classification Techniques (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Artificial Intelligence in Healthcare (4 papers). G. Kalyani is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Privacy-Preserving Technologies in Data (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, Ravindra K. Pandey, Bina Gidwani, Shiv Shankar Shukla, R Surendran, M. Padma Lalitha, A. Mohan Babu, A. Sivasangari and Vaidyanathan Jayaraman and has published in prestigious journals such as Soft Computing, Arabian Journal for Science and Engineering and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

G. Kalyani

18 papers receiving 217 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Kalyani 90 65 57 47 39 31 232
Rajesh Sharma R 80 0.9× 57 0.9× 35 0.6× 87 1.9× 27 0.7× 42 271
S. Vijayachitra 74 0.8× 70 1.1× 29 0.5× 66 1.4× 39 1.0× 41 286
Farheen Siddiqui 61 0.7× 26 0.4× 38 0.7× 21 0.4× 31 0.8× 37 195
S Sanjana 47 0.5× 71 1.1× 17 0.3× 64 1.4× 9 0.2× 23 198
Shaukat Hayat 163 1.8× 34 0.5× 53 0.9× 103 2.2× 105 2.7× 18 298
P. Keerthika 53 0.6× 57 0.9× 33 0.6× 44 0.9× 8 0.2× 35 262
J. Surendiran 24 0.3× 47 0.7× 25 0.4× 36 0.8× 7 0.2× 28 209
Ranjan K. Senapati 48 0.5× 30 0.5× 18 0.3× 209 4.4× 20 0.5× 49 289
Sekar Kidambi Raju 64 0.7× 50 0.8× 9 0.2× 20 0.4× 8 0.2× 20 189
Sathiyabhama Balasubramaniam 74 0.8× 143 2.2× 47 0.8× 45 1.0× 4 0.1× 25 297

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

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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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