Jim Ranalli

984 citations
15 papers · 609 · 1 hit paper · h-index 10

Impact in

Papers in

Jim Ranalli

15 papers receiving 568 citations

Jim Ranalli's Hit Papers

L2 student engagement with automated feedback on writing: Potential for learning and issues of trust 2021 · 89 citations
890+1+3Years since publication255075

Peers

Jim Ranalli
Comparison fields: 5 of 40
  • Health Informatics 35
  • Language and Linguistics 274
  • Developmental and Educational Psychology 310
  • Literature and Literary Theory 150
  • Computer Science Applications 53
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Mimi Li United States
Hui‐Fang Shang Taiwan
Mohammed Ali Mohsen Saudi Arabia
Kausalai Wijekumar United States
Hohsung Choe South Korea
Gonca Yangın Ekşi Türkiye
Trude Heift Canada
Pascual Pérez-Paredes Spain
Yangyu Xiao China
Jozef Colpaert Belgium
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Citations per year

Countries citing papers authored by Jim Ranalli

Since Specialization
Citations

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

Fields of papers citing papers by Jim Ranalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Jim Ranalli, 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 Jim Ranalli Line = papers co-authored together Jim Ranalli links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008156
2 2018133
3 2016104
4
L2 student engagement with automated feedback on writing: Potential for learning and issues of trust
Hit paper breakdown →
202189
5 201829
6 201325
7 201217
8 202215
9 201011
10 201310
11 20199
12 20224
13
Inaccurate Metacognitive Monitoring and its Effects on Metacognitive Control and Task Outcomes in Self-Regulated L2 Learning
20184
14 20112
15
Automated written corrective feedback for supporting students and instructors across curriculum
20191

About Jim Ranalli

Jim Ranalli is a scholar working on Developmental and Educational Psychology, Language and Linguistics, Artificial Intelligence, Education and Literature and Literary Theory, having authored 15 papers that have together received 609 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), EFL/ESL Teaching and Learning (5 papers), Second Language Acquisition and Learning (4 papers), Natural Language Processing Techniques (4 papers), Student Assessment and Feedback (4 papers), Lexicography and Language Studies (2 papers), Writing and Handwriting Education (2 papers) and Second Language Learning and Teaching (1 paper). The work is most often cited by research in Health Informatics (35 citations), Language and Linguistics (274 citations), Developmental and Educational Psychology (310 citations), Literature and Literary Theory (150 citations) and Computer Science Applications (53 citations). Jim Ranalli has collaborated with scholars based in United States and Yemen. Frequent co-authors include Evgeny Chukharev‐Hudilainen, Stephanie Link and Volker Hegelheimer. Their work appears in journals such as Language learning & technology, CALICO Journal, Computer Assisted Language Learning, Journal of Second Language Writing and Educational Psychology.

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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