R. Subhashini

42 papers and 123 indexed citations i.

About

R. Subhashini is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, R. Subhashini has authored 42 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Signal Processing. Recurrent topics in R. Subhashini’s work include Spam and Phishing Detection (6 papers), Advanced Malware Detection Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). R. Subhashini is often cited by papers focused on Spam and Phishing Detection (6 papers), Advanced Malware Detection Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). R. Subhashini collaborates with scholars based in India, Malaysia and United States. R. Subhashini's co-authors include V. Maria Anu, John V. Thomas, G. Meera Gandhi, Mary Subaja Christo, Raj Sethuraman, K. Kumutha, Subbiah Alwarappan, R Surendran, A. Sivasangari and Ugo Fiore and has published in prestigious journals such as Knowledge-Based Systems, Soft Computing and Neural Processing Letters.

In The Last Decade

Co-authorship network of co-authors of R. Subhashini i

Fields of papers citing papers by R. Subhashini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by R. Subhashini

Since Specialization
Citations

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