Dorothy M. Chun

50 papers receiving 2.9k citations

Hit Papers

Effects of Multimedia Annotations on Vocabulary Acquisition199620262006201619962016100200300400500

Peers

Dorothy M. Chun
Comparison fields: 5 of 100
  • Language and Linguistics 1.8k
  • Developmental and Educational Psychology 1.6k
  • Education 1000
  • Experimental and Cognitive Psychology 890
  • Literature and Literary Theory 708
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Citations per field
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Citations per year

Countries citing papers authored by Dorothy M. Chun

Since Specialization
Citations

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

Fields of papers citing papers by Dorothy M. Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dorothy M. Chun. 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 Dorothy M. Chun. The network helps show where Dorothy M. Chun may publish in the future.

Co-authorship network of co-authors of Dorothy M. Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Dorothy M. Chun. A scholar is included among the top collaborators of Dorothy M. Chun 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 Dorothy M. Chun. Dorothy M. Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 1
5 13
6
Current and Future Directions in TELL.
16
7
Technology in Language Use, Language Teaching, and Language Learningbreakdown →
282
8 39
9 38
10 96
11
An acoustic study of stress in L2 production of German and Spanish
2
12
Observations and Recommendations for Using Technology to Extend Interaction
1
13 2
14
Signal Analysis Software for Teaching Pronunciation.
17
15 95
16 348
17 164
18
Project CyberBuch : a hypermedia approach to computer-assisted language learning
18
19 27
20
A contrastive study of the suprasegmental pitch in modern German, American English, and Mandarin Chinese
6

About Dorothy M. Chun

Dorothy M. Chun is a scholar working on Language and Linguistics, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 53 papers that have together received 3.6k indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (14 papers), Visual and Cognitive Learning Processes (9 papers) and Second Language Acquisition and Learning (7 papers). The work is most often cited by research in Language and Linguistics (1.8k citations), Developmental and Educational Psychology (1.6k citations) and Experimental and Cognitive Psychology (890 citations). Dorothy M. Chun has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jan L. Plass, Richard E. Mayer, Detlev Leutner, Bryan Smith, Richard A. Kern, Kevin C. Almeroth, Allan Knight, Andrew T. Stull, Julie Campbell and Bruce Bimber. Their work appears in journals such as Journal of Educational Psychology, Computers in Human Behavior and Modern Language Journal.

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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