Dan Brown

52 total papers · 894 total citations
30 papers, 531 citations indexed

About

Dan Brown is a scholar working on Education, Language and Linguistics and Literature and Literary Theory. According to data from OpenAlex, Dan Brown has authored 30 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 8 papers in Language and Linguistics and 7 papers in Literature and Literary Theory. Recurrent topics in Dan Brown's work include EFL/ESL Teaching and Learning (8 papers), Student Assessment and Feedback (4 papers) and Online and Blended Learning (3 papers). Dan Brown is often cited by papers focused on EFL/ESL Teaching and Learning (8 papers), Student Assessment and Feedback (4 papers) and Online and Blended Learning (3 papers). Dan Brown collaborates with scholars based in United States, Mexico and Japan. Dan Brown's co-authors include Luke Plonsky, E Schultz, Thomas A. Longstaff, Daniel R. Isbell, Reza Norouzian, Meixiu Zhang, Jennings Bryant, Sheri Parks, Klaus M. Schmidt and Brian White and has published in prestigious journals such as Journal of Educational Psychology, Modern Language Journal and TESOL Quarterly.

In The Last Decade

Dan Brown

25 papers receiving 479 citations

Hit Papers

Methodological synthesis ... 2015 2026 2018 2022 2015 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Brown 303 234 184 181 73 30 531
Muhammad M. M. Abdel Latif 217 0.7× 142 0.6× 210 1.1× 169 0.9× 46 0.6× 50 495
Tae‐Il Pae 249 0.8× 120 0.5× 144 0.8× 196 1.1× 37 0.5× 29 487
James M. Hendrickson 458 1.5× 315 1.3× 210 1.1× 235 1.3× 61 0.8× 21 581
Josef Maňák 253 0.8× 173 0.7× 247 1.3× 143 0.8× 63 0.9× 33 564
Carolyn E. Turner 350 1.2× 237 1.0× 200 1.1× 172 1.0× 21 0.3× 23 521
Cathie Elder 243 0.8× 142 0.6× 137 0.7× 270 1.5× 32 0.4× 15 467
Müge Satar 258 0.9× 170 0.7× 213 1.2× 123 0.7× 104 1.4× 30 509
Kimi Kondo‐Brown 355 1.2× 203 0.9× 120 0.7× 145 0.8× 22 0.3× 19 517
Sima Khezrlou 264 0.9× 165 0.7× 264 1.4× 250 1.4× 71 1.0× 31 553
Joel Walz 408 1.3× 263 1.1× 120 0.7× 180 1.0× 33 0.5× 35 599

Countries citing papers authored by Dan Brown

Since Specialization
Citations

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

Fields of papers citing papers by Dan Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Brown. A scholar is included among the top collaborators of Dan Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Brown. Dan Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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