David Ginat
- Computer Science Applications top 0.5%
- Teaching and Learning Programming 56
- Online Learning and Analytics 8
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- Innovative Teaching and Learning Methods 17
- Educational Games and Gamification 14
- Software top 5%
- Media Technology top 5%
- Information Systems top 5%
- Software Engineering Research 9
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- Computability, Logic, AI Algorithms 21
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- Intelligent Tutoring Systems and Adaptive Learning 13
- Evolutionary Algorithms and Applications 12
David Ginat
76 papers receiving 603 citations
Peers
Comparison fields: 5 of 43
- Computer Science Applications 577
- Developmental and Educational Psychology 245
- Software 67
- Media Technology 104
- Information Systems 183
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-authorship network
The 21 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 1 | |
| 2 | 2013 | 6 | |
| 3 | 2012 | 7 | |
| 4 | 2009 | 10 | |
| 5 | 2008 | 8 | |
| 6 | 2007 | 17 | |
| 7 | 2006 | 1 | |
| 8 | The Suitable Way is Backwards, but They Work Forward | 2005 | 4 |
| 9 | 2005 | 1 | |
| 10 | 2004 | 14 | |
| 11 | Seeking or Skipping Regularities? Novice Tendencies and the Role of Invariants | 2003 | 1 |
| 12 | Decomposition Diversity in Computer Science—Beyond the Top-Down Icon | 2003 | 7 |
| 13 | 2002 | 10 | |
| 14 | 2001 | 23 | |
| 15 | 2001 | 3 | |
| 16 | 2001 | 4 | |
| 17 | 2001 | 1 | |
| 18 | 2000 | 3 | |
| 19 | 1996 | 7 | |
| 20 | 1989 | 16 |
About David Ginat
David Ginat is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 98 papers that have together received 689 indexed citations. Recurring topics across this work include Teaching and Learning Programming (56 papers), Computability, Logic, AI Algorithms (21 papers), Innovative Teaching and Learning Methods (17 papers), Educational Games and Gamification (14 papers), Intelligent Tutoring Systems and Adaptive Learning (13 papers), Evolutionary Algorithms and Applications (12 papers), Software Engineering Research (9 papers) and Online Learning and Analytics (8 papers). The work is most often cited by research in Computer Science Applications (577 citations), Developmental and Educational Psychology (245 citations), Software (67 citations), Media Technology (104 citations) and Information Systems (183 citations). David Ginat has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Bruria Haberman, Daniel D. Garcia, Michal Armoni, Vicki L. Almstrum, Orit Hazzan, Robert E. Tarjan, Daniel D. Sleator, Peter Henderson, Doug Baldwin and Charles Riedesel. Their work appears in journals such as Computer Science Education, Informatics in Education, ACM Inroads, International Journal of Mathematical Education in Science and Technology and Information Processing Letters.
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.