Trude Heift

1.4k citations
41 papers · 780 · h-index 17

Impact in

Papers in

Trude Heift

38 papers receiving 647 citations

Peers

Trude Heift
Comparison fields: 5 of 41
  • Language and Linguistics 433
  • Developmental and Educational Psychology 425
  • Literature and Literary Theory 244
  • Artificial Intelligence 327
  • Computer Science Applications 53
Replace Pascual Pérez-Paredes with:
Pascual Pérez-Paredes Spain
Evgeny Chukharev‐Hudilainen United States
Tatsuya Nakata Japan
Dee Gardner United States
Jim Ranalli United States
Dan Brown United States
Mohammed Ali Mohsen Saudi Arabia
Benjamin Kremmel Austria
Klaus Brandl United States
Mohammad Amiryousefi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Trude Heift

Since Specialization
Citations

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

Fields of papers citing papers by Trude Heift

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Trude Heift, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Trude Heift Line = papers co-authored together Trude Heift links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200499
2
Errors and Intelligence in Computer-Assisted Language Learning: Parsers and Pedagogues
200778
3 200755
4 200250
5 200144
6 200840
7 200338
8 201035
9 201033
10 200527
11 200826
12
Drag or Type, But Don’t Click: A Study on the Effectiveness of Different CALL Exercise Types
200322
13 201522
14 200621
15 200819
16 200618
17 200917
18 200316
19
Peer Feedback in Synchronous Writing Environments: A Case Study in French
200015
20 200814

About Trude Heift

Trude Heift is a scholar working on Developmental and Educational Psychology, Language and Linguistics, Artificial Intelligence, Literature and Literary Theory and Education, having authored 41 papers that have together received 780 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (21 papers), EFL/ESL Teaching and Learning (16 papers), Natural Language Processing Techniques (13 papers), Second Language Learning and Teaching (11 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Speech and dialogue systems (5 papers), Text Readability and Simplification (5 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Language and Linguistics (433 citations), Developmental and Educational Psychology (425 citations), Literature and Literary Theory (244 citations), Artificial Intelligence (327 citations) and Computer Science Applications (53 citations). Trude Heift has collaborated with scholars based in Canada, United States and South Sudan. Frequent co-authors include Mathias Schulze, Mathias Schulze, Carol A. Chapelle, Alison Mackey, Bryan Smith, Kenneth Reeder, Jörg Roche, Stavroula Tsiplakou and Fred Popowich. Their work appears in journals such as CALICO Journal, Computer Assisted Language Learning, Modern Language Journal, ReCALL and Language Teaching.

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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