Amal Ganesh

10 papers and 203 indexed citations i.

About

Amal Ganesh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Amal Ganesh has authored 10 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Amal Ganesh’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (4 papers). Amal Ganesh is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (4 papers). Amal Ganesh collaborates with scholars based in India and United States. Amal Ganesh's co-authors include C. Sunitha, Alexander D. Stoyenko and Thomas J. Marlowe and has published in prestigious journals such as ECS Transactions, International Journal of Electrical and Computer Engineering (IJECE) and Procedia Computer Science.

In The Last Decade

Co-authorship network of co-authors of Amal Ganesh i

Fields of papers citing papers by Amal Ganesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amal Ganesh

Since Specialization
Citations

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