Daniel Zingaro

2.8k citations
77 papers · 2.2k · 1 hit paper · h-index 27

Impact in

Papers in

Daniel Zingaro

70 papers receiving 1.9k citations

Daniel Zingaro's Hit Papers

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools 2025 · 25 citations
250Years since publication510152025

Peers

Daniel Zingaro
Comparison fields: 5 of 71
  • Computer Science Applications 1.6k
  • Developmental and Educational Psychology 789
  • Media Technology 456
  • Education 880
  • Software 100
Replace Leo Porter with:
Leo Porter United States
John Hamer New Zealand
Anna Eckerdal Sweden
Päivi Kinnunen Finland
Linda Mannila Sweden
Geoffrey Herman United States
Sue Sentance United Kingdom
Michael E. Caspersen Denmark
Carol Zander United States
Barbara Ericson United States
Daniel Zingaro relative to Leo Porter United States Leo Porter's profile →
Citations per field
00.5×1.5×
Leo Porter · 1×
Citations per year

Countries citing papers authored by Daniel Zingaro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zingaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011162
2 2012147
3 2011109
4 2014103
5 2014102
6 201498
7 201394
8 201179
9 201975
10 201675
11 201673
12 201466
13 201563
14 201656
15 201953
16 201351
17 201648
18 201548
19 201446
20 201444

About Daniel Zingaro

Daniel Zingaro is a scholar working on Computer Science Applications, Education, Developmental and Educational Psychology, Media Technology and Artificial Intelligence, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (45 papers), Innovative Teaching Methods (31 papers), Experimental Learning in Engineering (22 papers), Online Learning and Analytics (22 papers), Innovative Teaching and Learning Methods (20 papers), Online and Blended Learning (10 papers), Educational Games and Gamification (5 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Computer Science Applications (1.6k citations), Developmental and Educational Psychology (789 citations), Media Technology (456 citations), Education (880 citations) and Software (100 citations). Daniel Zingaro has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Leo Porter, Cynthia Bailey Lee, Beth Simon, Andrew Petersen, Michelle Craig, Murat Öztok, Clare Brett, Soohyun Nam Liao, Jim Hewitt and Kevin C. Webb. Their work appears in journals such as ACM Transactions on Computing Education, Computers & Education, British Journal of Educational Technology, Online Learning and The Internet and Higher 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.

Explore authors with similar magnitude of impact