Ravi Selker

9 papers and 1.6k indexed citations i.

About

Ravi Selker is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Statistics and Probability. According to data from OpenAlex, Ravi Selker has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Experimental and Cognitive Psychology and 3 papers in Statistics and Probability. Recurrent topics in Ravi Selker’s work include Child and Animal Learning Development (2 papers), Decision-Making and Behavioral Economics (2 papers) and Mental Health Research Topics (2 papers). Ravi Selker is often cited by papers focused on Child and Animal Learning Development (2 papers), Decision-Making and Behavioral Economics (2 papers) and Mental Health Research Topics (2 papers). Ravi Selker collaborates with scholars based in The Netherlands, United States and Czechia. Ravi Selker's co-authors include Eric‐Jan Wagenmakers, Dóra Matzke, Alexander Ly, Josine Verhagen, Jonathon Love, Quentin F. Gronau, Richard D. Morey, Martin Šmíra, Jeffrey N. Rouder and Maarten Marsman and has published in prestigious journals such as Frontiers in Psychology, Psychological Methods and Journal of Statistical Software.

In The Last Decade

Co-authorship network of co-authors of Ravi Selker i

Fields of papers citing papers by Ravi Selker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ravi Selker

Since Specialization
Citations

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