Daniel Zingaro

2.7k total citations
70 papers, 1.7k citations indexed

About

Daniel Zingaro is a scholar working on Computer Science Applications, Education and Media Technology. According to data from OpenAlex, Daniel Zingaro has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Science Applications, 40 papers in Education and 22 papers in Media Technology. Recurrent topics in Daniel Zingaro's work include Teaching and Learning Programming (45 papers), Innovative Teaching Methods (31 papers) and Experimental Learning in Engineering (22 papers). Daniel Zingaro is often cited by papers focused on Teaching and Learning Programming (45 papers), Innovative Teaching Methods (31 papers) and Experimental Learning in Engineering (22 papers). Daniel Zingaro collaborates with scholars based in Canada, United States and United Kingdom. Daniel Zingaro's co-authors include Leo Porter, Andrew Petersen, Murat Öztok, Beth Simon, Michelle Craig, Cynthia Bailey Lee, Clare Brett, Jim Hewitt, Soohyun Nam Liao and Cynthia Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and The Internet and Higher Education.

In The Last Decade

Daniel Zingaro

69 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Zingaro Canada	25	1.2k	714	557	412	219	70	1.7k
Leo Porter United States	27	1.5k 1.2×	739 1.0×	607 1.1×	539 1.3×	316 1.4×	107	2.1k
Quintin Cutts United Kingdom	22	931 0.8×	704 1.0×	461 0.8×	455 1.1×	257 1.2×	104	1.6k
Yifat Ben‐David Kolikant Israel	19	1.1k 0.9×	420 0.6×	509 0.9×	281 0.7×	397 1.8×	64	1.6k
Geoffrey Herman United States	20	639 0.5×	599 0.8×	389 0.7×	373 0.9×	232 1.1×	132	1.5k
Anna Eckerdal Sweden	22	1.1k 0.9×	315 0.4×	592 1.1×	321 0.8×	274 1.3×	76	1.4k
Michelle Craig Canada	22	902 0.7×	308 0.4×	358 0.6×	160 0.4×	318 1.5×	63	1.3k
Maya Israel United States	20	655 0.5×	440 0.6×	466 0.8×	68 0.2×	151 0.7×	82	1.3k
Colleen M. Lewis United States	17	795 0.7×	269 0.4×	409 0.7×	86 0.2×	230 1.1×	76	1.1k
Fılız Kalelıoğlu Türkiye	13	728 0.6×	373 0.5×	370 0.7×	78 0.2×	184 0.8×	39	1.1k
Miriam Ferzli United States	10	505 0.4×	291 0.4×	331 0.6×	142 0.3×	318 1.5×	21	905

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-authorship network of co-authors of Daniel Zingaro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zingaro. A scholar is included among the top collaborators of Daniel Zingaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Zingaro. Daniel Zingaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Zingaro, Daniel, et al.. (2026). Exploring Student-AI Interactions in Vibe Coding. 45–54.

2.

Prather, James, Juho Leinonen, Natalie Kiesler, et al.. (2025). Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. VTechWorks (Virginia Tech). 300–338. 10 indexed citations

3.

Smith, David H., et al.. (2025). Achievement Goals in CS1-LLM. 144–153. 2 indexed citations

4.

Prather, James, Juho Leinonen, Natalie Kiesler, et al.. (2024). How Instructors Incorporate Generative AI into Teaching Computing. OHMdok (Technische Hochschule Nürnberg). 771–772. 10 indexed citations

5.

Zingaro, Daniel, et al.. (2024). CS1-LLM: Integrating LLMs into CS1 Instruction. 297–303. 32 indexed citations

6.

Taylor, Cynthia, Michael Clancy, Kevin C. Webb, et al.. (2020). The Practical Details of Building a CS Concept Inventory. 372–378. 13 indexed citations

7.

Liao, Soohyun Nam, Daniel Zingaro, Kevin Thai, et al.. (2019). A Robust Machine Learning Technique to Predict Low-performing Students. ACM Transactions on Computing Education. 19(3). 1–19. 67 indexed citations

8.

Zingaro, Daniel, et al.. (2019). Impact of Open-Ended Assignments on Student Self-Efficacy in CS1. 215–221. 8 indexed citations

9.

Porter, Leo, et al.. (2016). Examining the Value of Analogies in Introductory Computing. 231–239. 15 indexed citations

10.

Zingaro, Daniel & Leo Porter. (2016). Impact of Student Achievement Goals on CS1 Outcomes. 279–296. 24 indexed citations

11.

Castrodale, Mark Anthony & Daniel Zingaro. (2015). “You’re such a good friend”: A woven autoethnographic narrative discussion of disability and friendship in Higher Education. SHILAP Revista de lepidopterología. 35(1). 16 indexed citations

12.

Horton, Diane, et al.. (2014). Comparing outcomes in inverted and traditional CS1. 261–266. 44 indexed citations

13.

Zingaro, Daniel, et al.. (2014). Examining the qualities of liked notes versus non-liked notes in a collaborative online learning environment. Lancaster EPrints (Lancaster University). 1 indexed citations

14.

Porter, Leo & Daniel Zingaro. (2013). Peer instruction in CS: research and experience. Journal of computing sciences in colleges. 28(6). 11–13. 1 indexed citations

15.

Zingaro, Daniel & Leo Porter. (2013). Peer Instruction in computing: The value of instructor intervention. Computers & Education. 71. 87–96. 87 indexed citations

16.

Zingaro, Daniel, Leo Porter, Beth Simon, & John Glick. (2011). Peer instruction in the CS classroom: a hands-on introduction: conference tutorial. Journal of computing sciences in colleges. 26(4). 218–218. 1 indexed citations

17.

Petersen, Andrew, Michelle Craig, & Daniel Zingaro. (2011). Reviewing CS1 exam question content. 631–636. 75 indexed citations

18.

Porter, Leo, Cynthia Bailey Lee, Beth Simon, & Daniel Zingaro. (2011). Peer instruction. 45–52. 128 indexed citations

19.

Zingaro, Daniel. (2010). Experience Report: Peer Instruction in Remedial Computer Science. TSpace. 2010(1). 5030–5035. 23 indexed citations

20.

Dodds, Zachary, et al.. (2010). Nifty assignments. 478–479. 6 indexed citations

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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