Dan Brown

901 total citations · 1 hit paper
30 papers, 539 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 539 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 Ireland. Dan Brown's co-authors include Luke Plonsky, E Schultz, Thomas A. Longstaff, Reza Norouzian, Meixiu Zhang, Daniel R. Isbell, Klaus M. Schmidt, Jennings Bryant, Sheri Parks and Amanda Huensch 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 487 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Methodological synthesis of research on the effectiveness of corrective feedback in L2 writing

2015 157 citations Dan Brown et al. Journal of Second Language Writing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Brown United States	8	309	235	187	185	72	30	539
Mimi Li United States	17	550 1.8×	527 2.2×	315 1.7×	490 2.6×	113 1.6×	37	1.1k
Barry O’Sullivan United Kingdom	11	319 1.0×	208 0.9×	116 0.6×	132 0.7×	24 0.3×	33	449
Hansol Lee South Korea	15	180 0.6×	115 0.5×	175 0.9×	305 1.6×	62 0.9×	48	671
Stephanie Link United States	13	384 1.2×	312 1.3×	405 2.2×	326 1.8×	106 1.5×	20	924
Moonyoung Park Hong Kong	13	124 0.4×	106 0.5×	364 1.9×	97 0.5×	210 2.9×	24	590
Ewa Golonka United States	8	251 0.8×	143 0.6×	336 1.8×	236 1.3×	261 3.6×	16	778
Robert Pritchard United States	11	197 0.6×	126 0.5×	261 1.4×	319 1.7×	35 0.5×	31	592
Nesrin Özdener Türkiye	11	128 0.4×	64 0.3×	161 0.9×	150 0.8×	80 1.1×	37	400
Matthew P. Wallace Macao	10	108 0.3×	58 0.2×	134 0.7×	167 0.9×	67 0.9×	25	476
Lesley Shield United Kingdom	5	182 0.6×	98 0.4×	348 1.9×	147 0.8×	582 8.1×	12	778

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Plonsky, Luke, et al.. (2024). “Significance sells”: Applied linguists’ views on questionable research practices. Research Methods in Applied Linguistics. 3(1). 100099–100099. 6 indexed citations

2.

White, Brian & Dan Brown. (2023). Enhancing learners' self‐efficacy to support L2 motivation: The need for strengths analysis. TESOL Journal. 15(2). 2 indexed citations

3.

Brown, Dan, et al.. (2023). The role of pragmatic markers in perceptions of L2 fluency in dialogue. System. 119. 103157–103157. 2 indexed citations

4.

Brown, Dan, et al.. (2023). Effectiveness of written corrective feedback in developing L2 accuracy: A Bayesian meta-analysis. Language Teaching Research. 30(3). 1357–1389. 17 indexed citations

5.

Isbell, Daniel R., et al.. (2022). Misconduct and Questionable Research Practices: The Ethics of Quantitative Data Handling and Reporting in Applied Linguistics. Modern Language Journal. 106(1). 172–195. 41 indexed citations

6.

Brown, Dan. (2016). Professionalizing the first steps of the teaching journey. Phi Delta Kappan. 98(1). 31–35. 6 indexed citations

7.

Brown, Dan, et al.. (2015). Methodological synthesis of research on the effectiveness of corrective feedback in L2 writing. Journal of Second Language Writing. 30. 66–81. 157 indexed citations breakdown →

8.

Plonsky, Luke & Dan Brown. (2014). Domain definition and search techniques in meta-analyses of L2 research (Or why 18 meta-analyses of feedback have different results). Second language Research. 31(2). 267–278. 70 indexed citations

9.

Brown, Dan. (2012). Now That I Know What I Know.. Educational leadership. 69(8). 24–28. 4 indexed citations

10.

Brown, Dan, et al.. (2007). Perceptions and Experiences that Influence a Pakistani Woman's Decision to Pursue a Teaching Career in Computer-Related Technology. ISU Red - Research and eData (Illinois State University). 44(2). 73–88. 3 indexed citations

11.

Brown, Dan. (2006). What Does History and the Recent NAITTE Membership Survey Suggest for Our Future? A Call to Action. ISU Red - Research and eData (Illinois State University). 43(1). 46–61. 1 indexed citations

12.

Schmidt, Klaus M. & Dan Brown. (2004). Considerations for Embedding On-Line Components into Traditional Classroom Environments. ISU Red - Research and eData (Illinois State University). 41(4). 3. 4 indexed citations

13.

Brown, Dan. (2002). Supply and Demand Analysis of Industrial Teacher Education Faculty.. ISU Red - Research and eData (Illinois State University). 40(1). 60–73. 4 indexed citations

14.

Brown, Dan. (2001). <p>Cognitive Science Concepts and Technology Teacher Education</p>. The Journal of Technology Studies. 27(1). 33–42. 5 indexed citations

15.

Brown, Dan. (1995). Giving Students the Business.. Vocational education journal. 70(6). 41–43. 3 indexed citations

16.

Brown, Dan. (1993). A Study of Three Approaches for Teaching Technical Content to Pre-service Technology Education Teachers.. Journal of Technology Education. 5(1). 6–20. 3 indexed citations

17.

Brown, Dan. (1991). What to Teach: Technology Education or Funtime 101?.. Journal of industrial teacher education. 29(1). 99–101.

18.

Bryant, Jennings, Dan Brown, & Sheri Parks. (1981). Ridicule as an educational corrective.. Journal of Educational Psychology. 73(5). 722–727. 5 indexed citations

19.

Brown, Dan. (1976). The work of the Central Manpower Committee for England and Wales: some personal observations. BMJ. 1(6018). 1162–1163. 1 indexed citations

20.

Brown, Dan. (1973). Teaching Gifted Students Art in Grades Seven Through Nine.. 1 indexed citations

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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