T. Saranya

43 total papers · 665 total citations
16 papers, 387 citations indexed

About

T. Saranya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, T. Saranya has authored 16 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in T. Saranya's work include AI in cancer detection (3 papers), Smart Agriculture and AI (2 papers) and Date Palm Research Studies (2 papers). T. Saranya is often cited by papers focused on AI in cancer detection (3 papers), Smart Agriculture and AI (2 papers) and Date Palm Research Studies (2 papers). T. Saranya collaborates with scholars based in India, Malaysia and Vietnam. T. Saranya's co-authors include C. Deisy, S. Sridevi, Tran Duc Chung, M.K.A. Ahamed Khan, S. Sridevi, Kalaiarasi Sonai Muthu Anbananthen, K. Kousalya, R. Parvathi, Saru Kumari and A. Sheik Abdullah and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Computers in Biology and Medicine and Materials Today Proceedings.

In The Last Decade

T. Saranya

12 papers receiving 360 citations

Hit Papers

Performance Analysis of M... 2020 2026 2022 2024 2020 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
T. Saranya 214 187 120 75 40 16 387
Taha Ait Tchakoucht 243 1.1× 225 1.2× 123 1.0× 16 0.2× 32 0.8× 19 408
Muhammad Ahsan Latif 149 0.7× 136 0.7× 90 0.8× 44 0.6× 108 2.7× 22 410
S. Sridevi 68 0.3× 90 0.5× 56 0.5× 70 0.9× 23 0.6× 22 339
Ahmed A. Nashat 218 1.0× 155 0.8× 117 1.0× 130 1.7× 24 0.6× 10 439
Abhishek Raghuvanshi 97 0.5× 119 0.6× 41 0.3× 84 1.1× 54 1.4× 19 379
Abdullah M. Baqasah 103 0.5× 99 0.5× 31 0.3× 30 0.4× 77 1.9× 36 341
Victor G. Turrisi da Costa 174 0.8× 275 1.5× 94 0.8× 17 0.2× 48 1.2× 30 420
Yin Ye 49 0.2× 180 1.0× 26 0.2× 99 1.3× 59 1.5× 18 427
Chunlai Du 192 0.9× 194 1.0× 52 0.4× 12 0.2× 140 3.5× 24 421
Teek Parval Sharma 113 0.5× 53 0.3× 34 0.3× 167 2.2× 64 1.6× 21 381

Countries citing papers authored by T. Saranya

Since Specialization
Citations

This map shows the geographic impact of T. Saranya'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 T. Saranya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Saranya more than expected).

Fields of papers citing papers by T. Saranya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Saranya

This figure shows the co-authorship network connecting the top 25 collaborators of T. Saranya. A scholar is included among the top collaborators of T. Saranya 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 T. Saranya. T. Saranya 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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