Daniel Rees Lewis

31 papers receiving 664 citations

Daniel Rees Lewis's Hit Papers

Assessment in education 1974 · 372 citations
3720+17+34Years since publication100200300

Peers

Daniel Rees Lewis
Comparison fields: 5 of 96
  • Computer Science Applications 113
  • Developmental and Educational Psychology 217
  • Education 501
  • Human-Computer Interaction 45
  • Information Systems and Management 53
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Countries citing papers authored by Daniel Rees Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rees Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessment in education
Hit paper breakdown →
1974372
2 201772
3 201470
4 197044
5 201942
6 201622
7 201722
8 202021
9 201519
10 201417
11 201817
12 201812
13 201611
14 201710
15
The Logic of Effective Iteration in Design-Based Research.
20208
16 20178
17 20237
18
Planning to iterate: Supporting iterative practices for real-world ill-structured problem-solving
20187
19 19596
20 20216

About Daniel Rees Lewis

Daniel Rees Lewis is a scholar working on Developmental and Educational Psychology, Education, Mechanical Engineering, Computer Science Applications and Sociology and Political Science, having authored 34 papers that have together received 828 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (12 papers), Design Education and Practice (6 papers), Online and Blended Learning (3 papers), Educational Games and Gamification (3 papers), Problem and Project Based Learning (3 papers), Online Learning and Analytics (3 papers), Wikis in Education and Collaboration (2 papers) and Interdisciplinary Research and Collaboration (2 papers). The work is most often cited by research in Computer Science Applications (113 citations), Developmental and Educational Psychology (217 citations), Education (501 citations), Human-Computer Interaction (45 citations) and Information Systems and Management (53 citations). Daniel Rees Lewis has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Elizabeth M. Gerber, Matthew W. Easterday, Christopher K. Riesbeck, Haoqi Zhang, Colin Fitzpatrick, Haoqi Zhang, Terri J. Sabol, Jelena Kravarusic, David Gatchell and Jane L. Holl. Their work appears in journals such as British Journal of Educational Psychology, British Journal of Psychology, Journal of Engineering Education, Australasian Journal of Educational Technology and International Journal of Artificial Intelligence in Education.

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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