Vikas Raunak

13 papers and 174 indexed citations i.

About

Vikas Raunak is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Vikas Raunak has authored 13 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Vikas Raunak’s work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (2 papers). Vikas Raunak is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (2 papers). Vikas Raunak collaborates with scholars based in United States and India. Vikas Raunak's co-authors include Arul Menezes, P. Geethanjali, Marcin Junczys-Dowmunt, Florian Metze, Siddharth Dalmia, Shruti Palaskar, Vivek Gupta, Matt Post, Shinji Watanabe and Yiren Wang and has published in prestigious journals such as Optical Fiber Technology, Australasian Physical & Engineering Sciences in Medicine and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Vikas Raunak i

Fields of papers citing papers by Vikas Raunak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vikas Raunak

Since Specialization
Citations

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