Daniel C. Moos

30 papers and 1.8k indexed citations i.

About

Daniel C. Moos is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Daniel C. Moos has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Developmental and Educational Psychology, 18 papers in Education and 8 papers in Computer Science Applications. Recurrent topics in Daniel C. Moos’s work include Innovative Teaching and Learning Methods (27 papers), Online and Blended Learning (16 papers) and Educational Strategies and Epistemologies (11 papers). Daniel C. Moos is often cited by papers focused on Innovative Teaching and Learning Methods (27 papers), Online and Blended Learning (16 papers) and Educational Strategies and Epistemologies (11 papers). Daniel C. Moos collaborates with scholars based in United States, Canada and Germany. Daniel C. Moos's co-authors include Roger Azevedo, Jeffrey A. Greene, Fielding I. Winters, Jennifer G. Cromley, Amber Chauncey, Amy M. Johnson, D. Bauer, Amanda L. Miller and Amy Witherspoon and has published in prestigious journals such as Computers in Human Behavior, Review of Educational Research and Computers & Education.

In The Last Decade

Co-authorship network of co-authors of Daniel C. Moos i

Fields of papers citing papers by Daniel C. Moos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Moos. 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 Daniel C. Moos. The network helps show where Daniel C. Moos may publish in the future.

Countries citing papers authored by Daniel C. Moos

Since Specialization
Citations

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