Ronak Pradeep

10 papers and 308 indexed citations i.

About

Ronak Pradeep is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ronak Pradeep has authored 10 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Ronak Pradeep’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers) and Machine Learning in Healthcare (3 papers). Ronak Pradeep is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers) and Machine Learning in Healthcare (3 papers). Ronak Pradeep collaborates with scholars based in Canada, United States and Italy. Ronak Pradeep's co-authors include Jimmy Lin, Rodrigo Nogueira, Zhiying Jiang, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Edwin Zhang, Jianping Li, Kyunghyun Cho and Hui Fang and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Ronak Pradeep i

Fields of papers citing papers by Ronak Pradeep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ronak Pradeep

Since Specialization
Citations

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