Daniel Bailey

35 papers receiving 566 citations

Peers

Daniel Bailey
Comparison fields: 5 of 69
  • Health Informatics 21
  • Computer Science Applications 84
  • Education 275
  • Developmental and Educational Psychology 96
  • Language and Linguistics 82
Replace Chunping Zheng with:
Chunping Zheng China
Matthew P. Wallace Macao
Kee-Man Chuah Malaysia
Vo Ngoc Hoi Vietnam
Michael Yi‐Chao Jiang Hong Kong
Chengyuan Jia Hong Kong
Antje Proske Germany
Douglas Grimes United States
Kaori Nakao Japan
Daniel Bailey relative to Chunping Zheng China Chunping Zheng's profile →
Citations per field
00.5×1.5×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020134
2 202276
3 202162
4 202144
5 201528
6
An Exploratory Study of Grammarly in the Language Learning Context: An Analysis of Test-Based, Textbook-Based and Facebook Corpora.
202027
7 202124
8
The Winograd Schema Challenge and Reasoning about Correlation
201520
9 201919
10 202019
11 202313
12 202013
13 197513
14 202312
15 202111
16 202211
17 20219
18 20218
19 20167
20 20236

About Daniel Bailey

Daniel Bailey is a scholar working on Education, Language and Linguistics, Artificial Intelligence, Developmental and Educational Psychology and Literature and Literary Theory, having authored 38 papers that have together received 596 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (11 papers), Online and Blended Learning (8 papers), Innovative Teaching and Learning Methods (6 papers), Communication in Education and Healthcare (5 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Second Language Acquisition and Learning (3 papers) and Impact of Technology on Adolescents (3 papers). The work is most often cited by research in Health Informatics (21 citations), Computer Science Applications (84 citations), Education (275 citations), Developmental and Educational Psychology (96 citations) and Language and Linguistics (82 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, Julian Michael, Vladimir Lifschitz, Brady L. Tripp and Michelle Bruner. Their work appears in journals such as Education and Information Technologies, Interactive Technology and Smart Education, Sustainability, The Physician and Sportsmedicine and Journal of Computer Assisted Learning.

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.

Explore authors with similar magnitude of impact