Rajiv Bajpai

About

Rajiv Bajpai is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Rajiv Bajpai has authored 2 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Social Psychology and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Rajiv Bajpai’s work include Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (1 paper) and Color perception and design (1 paper). Rajiv Bajpai is often cited by papers focused on Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (1 paper) and Color perception and design (1 paper). Rajiv Bajpai collaborates with scholars based in United Kingdom and Singapore. Rajiv Bajpai's co-authors include Soujanya Poria, Erik Cambria, Amir Hussain and Björn W. Schuller and has published in prestigious journals such as Information Fusion and International Conference on Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Rajiv Bajpai i

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Fields of papers citing papers by Rajiv Bajpai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rajiv Bajpai

Since Specialization

Citations

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