W. K. Will

20 papers receiving 771 citations

Peers

W. K. Will
Comparison fields: 5 of 80
  • Information Systems and Management 450
  • Gender Studies 191
  • Communication 113
  • Education 400
  • Computer Science Applications 72
Replace Yao-Kuei Lee with:
Yao-Kuei Lee Taiwan
Arumugam Raman Malaysia
Rocío Arteaga Sánchez Spain
Sun Joo Yoo United States
Ali Mugahed Al-Rahmi Malaysia
Z. Haag United Kingdom
Lynn Jeffrey New Zealand
Hager Khechine Canada
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W. K. Will relative to Yao-Kuei Lee Taiwan Yao-Kuei Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by W. K. Will

Since Specialization
Citations

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

Fields of papers citing papers by W. K. Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. K. Will. 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 W. K. Will. The network helps show where W. K. Will may publish in the future.

Co-authors

The 14 scholars most cited alongside W. K. Will, 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 W. K. Will Line = papers co-authored together W. K. Will links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003455
2 2008294
3 202136
4 201128
5 202022
6 20189
7 20146
8 20144
9 20224
10 20143
11 20223
12 20163
13 20193
14 20172
15 20202
16
Examining e-Learning Effectiveness, Outcomes and Learning Style: A Longitudinal Study
20051
17 20031
18 20171
19 20241
20
Blended Learning. New Challenges and Innovative Practices: 10th International Conference, ICBL 2017, Hong Kong, China, June 27-29, 2017, Proceedings
20171

About W. K. Will

W. K. Will is a scholar working on Education, Communication, Sociology and Political Science, Information Systems and Management and Computer Science Applications, having authored 23 papers that have together received 879 indexed citations. Recurring topics across this work include Online and Blended Learning (5 papers), Impact of Technology on Adolescents (5 papers), Technology Adoption and User Behaviour (5 papers), Knowledge Management and Sharing (3 papers), Innovative Teaching and Learning Methods (3 papers), Online Learning and Analytics (3 papers), Green IT and Sustainability (2 papers) and Gender and Technology in Education (2 papers). The work is most often cited by research in Information Systems and Management (450 citations), Gender Studies (191 citations), Communication (113 citations), Education (400 citations) and Computer Science Applications (72 citations). W. K. Will has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Allan H. K. Yuen, Theodore H.K. Clark, Paul Jen‐Hwa Hu, Anthony Weldon, Liping Deng, Amy Wu, Lap–Kei Lee, Harrison Hao Yang, Kar Yan Tam and Wendy Hui. Their work appears in journals such as Asia-Pacific Journal of Teacher Education, Information & Management, International Journal of Information Technology & Decision Making, Lecture notes in educational technology and Lecture notes in computer science.

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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