Ganesh Ramakrishnan

70 papers and 597 indexed citations i.

About

Ganesh Ramakrishnan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ganesh Ramakrishnan has authored 70 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Ganesh Ramakrishnan’s work include Natural Language Processing Techniques (28 papers), Topic Modeling (26 papers) and Multimodal Machine Learning Applications (10 papers). Ganesh Ramakrishnan is often cited by papers focused on Natural Language Processing Techniques (28 papers), Topic Modeling (26 papers) and Multimodal Machine Learning Applications (10 papers). Ganesh Ramakrishnan collaborates with scholars based in India, United States and Australia. Ganesh Ramakrishnan's co-authors include Soumen Chakrabarti, Amit Singh, Vishwajeet Kumar, Rishabh Iyer, Yuan-Fang Li, Preethi Jyothi, Pushpak Bhattacharyya, Sachindra Joshi, Pratik Jawanpuria and Rishabh Dabral and has published in prestigious journals such as Neurocomputing, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

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

Fields of papers citing papers by Ganesh Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ganesh Ramakrishnan

Since Specialization
Citations

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