Daniel Zingaro

2.8k citations
72 papers · 1.7k · 1 hit paper · h-index 25

Impact in

Papers in

Daniel Zingaro

69 papers receiving 1.7k citations

Daniel Zingaro's Hit Papers

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools 2025 · 24 citations
240Years since publication5101520

Peers

Daniel Zingaro
Comparison fields: 5 of 66
  • Computer Science Applications 1.2k
  • Media Technology 413
  • Developmental and Educational Psychology 564
  • Software 94
  • Education 719
Replace Leo Porter with:
Leo Porter United States
Geoffrey Herman United States
Anna Eckerdal Sweden
Yifat Ben‐David Kolikant Israel
Michelle Craig Canada
Quintin Cutts United Kingdom
Briana B. Morrison United States
Colleen M. Lewis United States
Maya Israel United States
Charles Riedesel 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011129
2 2012128
3 201388
4 201175
5 201470
6 201469
7 201968
8 201668
9 201462
10 201950
11 201147
12 201445
13 201440
14 202439
15 201639
16 201938
17 201335
18 201433
19 201532
20 201831

About Daniel Zingaro

Daniel Zingaro is a scholar working on Computer Science Applications, Education, Media Technology, Developmental and Educational Psychology and Artificial Intelligence, having authored 72 papers that have together received 1.7k 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 (21 papers), Innovative Teaching and Learning Methods (17 papers), Online and Blended Learning (8 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 (1.2k citations), Media Technology (413 citations), Developmental and Educational Psychology (564 citations), Software (94 citations) and Education (719 citations). Daniel Zingaro has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Leo Porter, Andrew Petersen, Beth Simon, Murat Öztok, Michelle Craig, Cynthia Bailey Lee, 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, Computer Science Education and Online 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.

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