Anjali Thapar

25 papers and 1.9k indexed citations i.

About

Anjali Thapar is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Anjali Thapar has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Anjali Thapar’s work include Neural and Behavioral Psychology Studies (12 papers), Memory Processes and Influences (11 papers) and Multisensory perception and integration (4 papers). Anjali Thapar is often cited by papers focused on Neural and Behavioral Psychology Studies (12 papers), Memory Processes and Influences (11 papers) and Multisensory perception and integration (4 papers). Anjali Thapar collaborates with scholars based in United States. Anjali Thapar's co-authors include Roger Ratcliff, Gail McKoon, Roger Ratcliff, Kathleen B. McDermott, Pablo Gómez, Robert L. Greene, Deanne L. Westerman, Jeffrey N. Rouder, Lee A. Thompson and Stephen A. Petrill and has published in prestigious journals such as Journal of Experimental Psychology General, Cognitive Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Co-authorship network of co-authors of Anjali Thapar i

Fields of papers citing papers by Anjali Thapar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anjali Thapar

Since Specialization
Citations

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