G Veena

12 papers and 114 indexed citations i.

About

G Veena is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, G Veena has authored 12 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Sociology and Political Science. Recurrent topics in G Veena’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Advanced Graph Neural Networks (1 paper). G Veena is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Advanced Graph Neural Networks (1 paper). G Veena collaborates with scholars based in India, Switzerland and Taiwan. G Veena's co-authors include Prema Nedungadi, Raghu Raman, M. Ramakrishna, Deepa Gupta, Eldad Erez, Yoram Abramov, Jacob F. Katz, Ovadia Dagan, B Vidne and Kai–Yu Tang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Education and Information Technologies.

In The Last Decade

Co-authorship network of co-authors of G Veena i

Fields of papers citing papers by G Veena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G Veena

Since Specialization
Citations

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