Kiran Rama

5 papers and 154 indexed citations i.

About

Kiran Rama is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kiran Rama has authored 5 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Kiran Rama’s work include Topic Modeling (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Graph Neural Networks (1 paper). Kiran Rama is often cited by papers focused on Topic Modeling (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Graph Neural Networks (1 paper). Kiran Rama collaborates with scholars based in India. Kiran Rama's co-authors include Bharat Bhasker and Sayan Putatunda and has published in prestigious journals such as Expert Systems with Applications, Neural Computing and Applications and The Journal of Open Source Software.

In The Last Decade

Co-authorship network of co-authors of Kiran Rama i

Fields of papers citing papers by Kiran Rama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kiran Rama

Since Specialization
Citations

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