G. Maragatham

26 papers and 445 indexed citations i.

About

G. Maragatham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, G. Maragatham has authored 26 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in G. Maragatham’s work include Adversarial Robustness in Machine Learning (5 papers), Blockchain Technology Applications and Security (4 papers) and Forensic and Genetic Research (3 papers). G. Maragatham is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Blockchain Technology Applications and Security (4 papers) and Forensic and Genetic Research (3 papers). G. Maragatham collaborates with scholars based in India, United States and Serbia. G. Maragatham's co-authors include A. Helen Victoria, K. Meenakshi, Neha Agarwal, Vijayakumar Ponnusamy and Sachin Garg and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of G. Maragatham i

Fields of papers citing papers by G. Maragatham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Maragatham

Since Specialization
Citations

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