Gilbert Dizon

969 citations
25 papers · 611 indexed · h-index 13
Topics
EFL/ESL Teaching and Learning (14 papers)Second Language Acquisition and Learning (6 papers)AI in Service Interactions (6 papers)
Journals
SHILAP Revista de lepidopterologíaComputer Assisted Language LearningLanguage learning & technology
Partner nations
Japan

In The Last Decade

Gilbert Dizon

24 papers receiving 561 citations

Peers

Gilbert Dizon
Comparison fields: 5 of 49
  • Artificial Intelligence 229
  • Developmental and Educational Psychology 191
  • Education 187
  • Language and Linguistics 173
  • Information Systems 153
Replace Ruofei Zhang with:
Ruofei Zhang Hong Kong
Sangmin‐Michelle Lee South Korea
Qing-Ke Fu China
José Ramón Calvo‐Ferrer Spain
Matthew P. Wallace Macao
Vivien Lin Taiwan
Jose Belda-Medina Spain
Daniel R. Isbell United States
Jim Ranalli United States
Kausalai Wijekumar United States
Gilbert Dizon relative to Ruofei Zhang Hong Kong Ruofei Zhang's profile →
Citations per field
00.5×10×13×
Ruofei Zhang · 1×
Citations per year

Countries citing papers authored by Gilbert Dizon

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Dizon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilbert Dizon

This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert Dizon. A scholar is included among the top collaborators of Gilbert Dizon 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 Gilbert Dizon. Gilbert Dizon 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 5
3 4
4 7
5 35
6 2
7
An exploratory study on the use of interactive video via Netflix to improve second language aural vocabulary learning
2
8 17
9 7
10 22
11 90
12 54
13 15
14 82
15 2
16 19
17
QUIZLET IN THE EFL CLASSROOM: ENHANCING ACADEMIC VOCABULARY ACQUISITION OF JAPANESE UNIVERSITY STUDENTS
77
18
Measuring Japanese EFL Student Perceptions of Internet-Based Tests with the Technology Acceptance Model.
9
19 4
20 55

About Gilbert Dizon

Gilbert Dizon is a scholar working on Language and Linguistics, Health Informatics and Human-Computer Interaction, having authored 25 papers that have together received 611 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (14 papers), Second Language Acquisition and Learning (6 papers) and AI in Service Interactions (6 papers). The work is most often cited by research in Health Informatics (27 citations), Computer Science Applications (95 citations) and Language and Linguistics (173 citations). Gilbert Dizon has collaborated with scholars based in Japan. Frequent co-authors include Daniel Tang, John Maurice Gayed and Yumi Yamamoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Assisted Language Learning and Language learning & technology.

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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