Mary Lee Scott

765 total citations
12 papers, 443 citations indexed

About

Mary Lee Scott is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Mary Lee Scott has authored 12 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Language and Linguistics, 3 papers in Experimental and Cognitive Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Mary Lee Scott's work include EFL/ESL Teaching and Learning (4 papers), Visual and Cognitive Learning Processes (2 papers) and Reading and Literacy Development (2 papers). Mary Lee Scott is often cited by papers focused on EFL/ESL Teaching and Learning (4 papers), Visual and Cognitive Learning Processes (2 papers) and Reading and Literacy Development (2 papers). Mary Lee Scott collaborates with scholars based in United States and Hungary. Mary Lee Scott's co-authors include Zoltán Dörnyei, Dorry M. Kenyon, Charles W. Stansfield, Marshall Arlin, Janet Webster, David Nunan, Cheryl Brown, Russel K. Durst, Jeremy Harmer and Neil Anderson and has published in prestigious journals such as Modern Language Journal, TESOL Quarterly and Language Learning.

In The Last Decade

Mary Lee Scott

9 papers receiving 342 citations

Peers

Mary Lee Scott
Comparison fields: 5 of 32
  • Language and Linguistics 376
  • Literature and Literary Theory 222
  • Developmental and Educational Psychology 145
  • Education 64
  • Linguistics and Language 50
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Judith E. Liskin‐Gasparro United States View profile →
Citations per field, relative to Mary Lee Scott
Mary Lee Scott · 1×
Citations per year, relative to Mary Lee Scott
Mary Lee Scott · 1×

Countries citing papers authored by Mary Lee Scott

Since Specialization
Citations

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

Fields of papers citing papers by Mary Lee Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Lee Scott. 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 Mary Lee Scott. The network helps show where Mary Lee Scott may publish in the future.

Co-authorship network of co-authors of Mary Lee Scott

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 306
2 13
3 1
4 21
5
A Look at TEFL in Russia and Ukraine.
0
6 11
7 31
8
Younger and older adult second language learners : A comparison of auditory memory and perception
2
9 38
10
The Effect of Multiple Retesting on Affect and Test Performance
2
11 0
12 18

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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