Latha Parthiban

64 papers and 412 indexed citations i.

About

Latha Parthiban is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Latha Parthiban has authored 64 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 20 papers in Information Systems. Recurrent topics in Latha Parthiban’s work include Energy Efficient Wireless Sensor Networks (7 papers), Cryptography and Data Security (6 papers) and Chaos-based Image/Signal Encryption (6 papers). Latha Parthiban is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Cryptography and Data Security (6 papers) and Chaos-based Image/Signal Encryption (6 papers). Latha Parthiban collaborates with scholars based in India, South Korea and United States. Latha Parthiban's co-authors include R. Subramanian, T. P. Latchoumi, R. Parthiban, Angelina Geetha, A. Thangamani, B. Santhosh Kumar, M. Rami Reddy, S. Muralidharan, Hyeonjoon Moon and S. Selvakumar and has published in prestigious journals such as IEEE Access, Journal of Neuroscience Methods and Journal of Molecular Structure.

In The Last Decade

Co-authorship network of co-authors of Latha Parthiban i

Fields of papers citing papers by Latha Parthiban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Latha Parthiban

Since Specialization
Citations

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

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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2025