Daniel Long

21 papers and 611 indexed citations i.

About

Daniel Long is a scholar working on Education, Experimental and Cognitive Psychology and Linguistics and Language. According to data from OpenAlex, Daniel Long has authored 21 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Education, 5 papers in Experimental and Cognitive Psychology and 4 papers in Linguistics and Language. Recurrent topics in Daniel Long’s work include School Choice and Performance (6 papers), Multilingual Education and Policy (4 papers) and Education, Achievement, and Giftedness (4 papers). Daniel Long is often cited by papers focused on School Choice and Performance (6 papers), Multilingual Education and Policy (4 papers) and Education, Achievement, and Giftedness (4 papers). Daniel Long collaborates with scholars based in United States and Japan. Daniel Long's co-authors include Lawrence Wu, Adam Gamoran, Martin Nystrand, Laura M. Desimone, Steven P. Martin, Sean Kelly, Del Siegle, D. Betsy McCoach, P. J. Burke and Thom J. Zimmerman and has published in prestigious journals such as Developmental Cell, Ophthalmology and American Journal of Ophthalmology.

In The Last Decade

Co-authorship network of co-authors of Daniel Long i

Fields of papers citing papers by Daniel Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Long

Since Specialization
Citations

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