David Ginat
Impact in
- Computer Science Applications top 0.5%
- Teaching and Learning Programming
- Online Learning and Analytics
- Open Education and E-Learning
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- Educational Games and Gamification
- Innovative Teaching and Learning Methods
Papers in
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- Teaching and Learning Programming 64
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- Intelligent Tutoring Systems and Adaptive Learning 15
- Evolutionary Algorithms and Applications 13
- Logic, programming, and type systems 10
- Co-authors
- Bruria Haberman (5 shared papers)Daniel D. Garcia (9 shared papers)Michal Armoni (3 shared papers)Daniel D. Sleator (1 shared paper)Robert E. Tarjan (1 shared paper)Orit Hazzan (4 shared papers)Vicki L. Almstrum (4 shared papers)John Hamer (3 shared papers)
- Journals
- Computer Science Education (4 papers)Informatics in Education (3 papers)Lecture notes in computer science (7 papers)ACM Inroads (5 papers)International Journal of Mathematical Education in Science and Technology (1 paper)
- Partner nations
- IsraelUnited StatesNew Zealand
In The Last Decade
David Ginat
87 papers receiving 785 citations
Peers
Comparison fields: 5 of 46
- Computer Science Applications 786
- Developmental and Educational Psychology 363
- Software 81
- Media Technology 126
- Information Systems 241
Countries citing papers authored by David Ginat
This map shows the geographic impact of David Ginat'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 David Ginat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ginat more than expected).
Fields of papers citing papers by David Ginat
This network shows the impact of papers produced by David Ginat. 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 David Ginat. The network helps show where David Ginat may publish in the future.
Co-authors
The 23 scholars most cited alongside David Ginat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 100 | |
| 2 | 2015 | 54 | |
| 3 | 2017 | 51 | |
| 4 | 1999 | 48 | |
| 5 | 2004 | 41 | |
| 6 | 2012 | 33 | |
| 7 | 2003 | 32 | |
| 8 | 2008 | 27 | |
| 9 | 2001 | 25 | |
| 10 | 1997 | 24 | |
| 11 | 2007 | 23 | |
| 12 | 2001 | 20 | |
| 13 | 1989 | 18 | |
| 14 | 2007 | 18 | |
| 15 | 2001 | 18 | |
| 16 | 2004 | 16 | |
| 17 | 1996 | 16 | |
| 18 | 2005 | 16 | |
| 19 | 2009 | 16 | |
| 20 | 2013 | 15 |
About David Ginat
David Ginat is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Computational Theory and Mathematics and Information Systems, having authored 112 papers that have together received 961 indexed citations. Recurring topics across this work include Teaching and Learning Programming (64 papers), Computability, Logic, AI Algorithms (25 papers), Innovative Teaching and Learning Methods (20 papers), Educational Games and Gamification (16 papers), Intelligent Tutoring Systems and Adaptive Learning (15 papers), Evolutionary Algorithms and Applications (13 papers), Software Engineering Research (11 papers) and Logic, programming, and type systems (10 papers). The work is most often cited by research in Computer Science Applications (786 citations), Developmental and Educational Psychology (363 citations), Software (81 citations), Media Technology (126 citations) and Information Systems (241 citations). David Ginat has collaborated with scholars based in Israel, United States and New Zealand. Frequent co-authors include Bruria Haberman, Daniel D. Garcia, Michal Armoni, Daniel D. Sleator, Robert E. Tarjan, Orit Hazzan, Vicki L. Almstrum, John Hamer, Bill Marion and Doug Baldwin. Their work appears in journals such as Computer Science Education, Informatics in Education, Lecture notes in computer science, ACM Inroads and International Journal of Mathematical Education in Science and Technology.
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.