K. Premalatha

130 total papers · 1.4k total citations
77 papers, 923 citations indexed

About

K. Premalatha is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, K. Premalatha has authored 77 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 24 papers in Molecular Biology and 20 papers in Information Systems. Recurrent topics in K. Premalatha's work include Gene expression and cancer classification (21 papers), Data Mining Algorithms and Applications (13 papers) and Evolutionary Algorithms and Applications (11 papers). K. Premalatha is often cited by papers focused on Gene expression and cancer classification (21 papers), Data Mining Algorithms and Applications (13 papers) and Evolutionary Algorithms and Applications (11 papers). K. Premalatha collaborates with scholars based in India and China. K. Premalatha's co-authors include S. Kannimuthu, A.M. Natarajan, C. Gunavathi, G. Sathish Kumar, Anand Manoharan, D Mathai, P. Rajesh Kanna, M. Gunasekaran, Mahabalesh Shetty and R. Balamurugan and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Chaos Solitons & Fractals.

In The Last Decade

K. Premalatha

64 papers receiving 802 citations

Author Peers

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

Author Last Decade Papers Cites
K. Premalatha 421 185 152 117 107 77 923
Qiang Dong 342 0.8× 154 0.8× 78 0.5× 86 0.7× 248 2.3× 66 1.1k
Sergio A. Álvarez 151 0.4× 247 1.3× 146 1.0× 53 0.5× 51 0.5× 60 1.1k
Rajat Kumar Pal 239 0.6× 69 0.4× 87 0.6× 94 0.8× 112 1.0× 141 918
Federico Divina 293 0.7× 70 0.4× 281 1.8× 62 0.5× 15 0.1× 51 913
Wenbo Mao 425 1.0× 257 1.4× 106 0.7× 52 0.4× 318 3.0× 37 884
Kolin Paul 107 0.3× 82 0.4× 70 0.5× 150 1.3× 347 3.2× 122 1.0k
Daniel Peralta 347 0.8× 220 1.2× 84 0.6× 56 0.5× 43 0.4× 35 997
Ashwani Kumar 160 0.4× 146 0.8× 310 2.0× 66 0.6× 135 1.3× 70 1.2k
Hao Ren 426 1.0× 146 0.8× 75 0.5× 57 0.5× 103 1.0× 50 914
Gang Wang 403 1.0× 313 1.7× 101 0.7× 26 0.2× 521 4.9× 118 1.1k

Countries citing papers authored by K. Premalatha

Since Specialization
Citations

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

Fields of papers citing papers by K. Premalatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Premalatha

This figure shows the co-authorship network connecting the top 25 collaborators of K. Premalatha. A scholar is included among the top collaborators of K. Premalatha 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 K. Premalatha. K. Premalatha 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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2026