Vaibhav Rupapara

About

Vaibhav Rupapara is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vaibhav Rupapara has authored 20 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vaibhav Rupapara’s work include Spam and Phishing Detection (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Imbalanced Data Classification Techniques (4 papers). Vaibhav Rupapara is often cited by papers focused on Spam and Phishing Detection (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Imbalanced Data Classification Techniques (4 papers). Vaibhav Rupapara collaborates with scholars based in United States, Pakistan and South Korea. Vaibhav Rupapara's co-authors include Furqan Rustam, Saleem Ullah, Gyu Sang Choi, Arif Mehmood, Saima Sadiq, Muhammad Umer, Michele Nappi, Seyedali Mirjalili, Imran Ashraf and Abid Ishaq and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Vaibhav Rupapara i

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Fields of papers citing papers by Vaibhav Rupapara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vaibhav Rupapara

Since Specialization

Citations

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