T. Ganesan

32 papers and 267 indexed citations i.

About

T. Ganesan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, T. Ganesan has authored 32 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Mechanical Engineering. Recurrent topics in T. Ganesan’s work include Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Cosmology and Gravitation Theories (5 papers). T. Ganesan is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Cosmology and Gravitation Theories (5 papers). T. Ganesan collaborates with scholars based in Malaysia, Canada and Australia. T. Ganesan's co-authors include Pandian Vasant, Irraivan Elamvazuthi, Ku Zilati Ku Shaari, S. Parasuraman, M.K.A. Ahamed Khan, Steven W. Su, M. Z. Bhatti, Bander Almutairi, S. Khan and Igor Litvinchev and has published in prestigious journals such as Applied Energy, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of T. Ganesan i

Fields of papers citing papers by T. Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by T. Ganesan

Since Specialization
Citations

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