Daniel Bailey

36 papers receiving 523 citations

Peers

Daniel Bailey
Comparison fields: 5 of 65
  • Health Informatics 19
  • Computer Science Applications 72
  • Education 263
  • Language and Linguistics 83
  • Developmental and Educational Psychology 97
Replace Chunping Zheng with:
Chunping Zheng China
Matthew P. Wallace Macao
Kee-Man Chuah Malaysia
Antje Proske Germany
Chengyuan Jia Hong Kong
Maslawati Mohamad Malaysia
Xi Lin United States
Dongkwang Shin South Korea
Kaori Nakao Japan
Daniel Bailey relative to Chunping Zheng China Chunping Zheng's profile →
Citations per field
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Chunping Zheng · 1×
Citations per year

Countries citing papers authored by Daniel Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Bailey, 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 Daniel Bailey Line = papers co-authored together Daniel Bailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 202271
3 202151
4 202138
5 201526
6
An Exploratory Study of Grammarly in the Language Learning Context: An Analysis of Test-Based, Textbook-Based and Facebook Corpora.
202022
7 202121
8
The Winograd Schema Challenge and Reasoning about Correlation
201520
9 201820
10 201919
11 202018
12 197514
13 202013
14 202110
15 20229
16 20239
17 20239
18 20219
19 20217
20 20236

About Daniel Bailey

Daniel Bailey is a scholar working on Language and Linguistics, Developmental and Educational Psychology, Education, Literature and Literary Theory and Information Systems and Management, having authored 39 papers that have together received 551 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (12 papers), Online and Blended Learning (8 papers), Innovative Teaching and Learning Methods (7 papers), Communication in Education and Healthcare (5 papers), Second Language Learning and Teaching (4 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Second Language Acquisition and Learning (3 papers). The work is most often cited by research in Health Informatics (19 citations), Computer Science Applications (72 citations), Education (263 citations), Language and Linguistics (83 citations) and Developmental and Educational Psychology (97 citations). Daniel Bailey has collaborated with scholars based in South Korea, Saudi Arabia and United States. Frequent co-authors include Norah Almusharraf, Ryan Hatcher, Jamie Costley, Peter Crosthwaite, Douglas W. Jackson, Yuliya Lierler, Vladimir Lifschitz, Julian Michael, Hugo Rodrigue and Jason L. Zaremski. Their work appears in journals such as Education and Information Technologies, The Physician and Sportsmedicine, Interactive Technology and Smart Education, Journal of Computer Assisted Learning and The Journal of AsiaTEFL.

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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2026