High Ability Studies

419 papers and 9.0k indexed citations

About

The 419 papers published in High Ability Studies in the last decades have received a total of 9.0k indexed citations. Papers published in High Ability Studies usually cover Experimental and Cognitive Psychology (281 papers), Social Psychology (168 papers) and Developmental and Educational Psychology (109 papers) specifically the topics of Education, Achievement, and Giftedness (213 papers), Motivation and Self-Concept in Sports (112 papers) and Creativity in Education and Neuroscience (97 papers). The most active scholars publishing in High Ability Studies are Françoys Gagné, Joseph Baker, K. Anders Ericsson, Robert J. Sternberg, David W. Chan, James C. Kaufman, Ronald A. Beghetto, Seana Moran, Albert Ziegler and Nicola J. Hodges.

In The Last Decade

High Ability Studies

381 papers receiving 7.7k citations

Countries where authors publish in High Ability Studies

Since Specialization
Citations

This map shows the geographic impact of research published in High Ability Studies. 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 papers published in High Ability Studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites High Ability Studies more than expected).

Fields of papers published in High Ability Studies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in High Ability Studies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in High Ability Studies.

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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