Darrell Earnest

19 papers and 179 indexed citations i.

About

Darrell Earnest is a scholar working on Education, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Darrell Earnest has authored 19 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 14 papers in Statistics and Probability and 1 paper in Artificial Intelligence. Recurrent topics in Darrell Earnest’s work include Mathematics Education and Teaching Techniques (16 papers), Cognitive and developmental aspects of mathematical skills (13 papers) and Education and Technology Integration (7 papers). Darrell Earnest is often cited by papers focused on Mathematics Education and Teaching Techniques (16 papers), Cognitive and developmental aspects of mathematical skills (13 papers) and Education and Technology Integration (7 papers). Darrell Earnest collaborates with scholars based in United States. Darrell Earnest's co-authors include Julie M. Amador, David W. Carraher, Analúcia D. Schliemann, Bárbara M. Brizuela, Irit Peled, Katherine E. Lewis, Geoffrey B. Saxe, Ying Zheng and Ricardo Nemirovsky and has published in prestigious journals such as Journal for Research in Mathematics Education, Cognition and Instruction and Journal of Mathematics Teacher Education.

In The Last Decade

Co-authorship network of co-authors of Darrell Earnest i

Fields of papers citing papers by Darrell Earnest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Darrell Earnest

Since Specialization
Citations

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