Jon Good
Impact in
- Computer Science Applications top 0.5%
- Teaching and Learning Programming
- Online Learning and Analytics
-
- Educational Games and Gamification
- Innovative Teaching and Learning Methods
Papers in
-
- Teaching and Learning Programming 9
- Online Learning and Analytics 4
- Ecology 6
- Physiological and biochemical adaptations 6
- Co-authors
- Aman Yadav (8 shared papers)Punya Mishra (5 shared papers)Joke Voogt (2 shared papers)Petra Fisser (1 shared paper)Alex Lishinski (3 shared papers)Richard Enbody (2 shared papers)Christina Krist (1 shared paper)Phil Sands (3 shared papers)
- Journals
- Journal of Fish Biology (5 papers)TechTrends (3 papers)Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology (1 paper)Education and Information Technologies (1 paper)Computer Science Education (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jon Good
18 papers receiving 700 citations
Jon Good's Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Science Applications 585
- Developmental and Educational Psychology 298
- Software 36
- Gender Studies 76
- Media Technology 50
Countries citing papers authored by Jon Good
This map shows the geographic impact of Jon Good'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 Jon Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Good more than expected).
Fields of papers citing papers by Jon Good
This network shows the impact of papers produced by Jon Good. 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 Jon Good. The network helps show where Jon Good may publish in the future.
Co-authors
The 24 scholars most cited alongside Jon Good, 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 | Computational thinking in compulsory education: Towards an agenda for research and practice Hit paper breakdown → | 2015 | 367 |
| 2 | 2016 | 138 | |
| 3 | 2018 | 71 | |
| 4 | 2016 | 29 | |
| 5 | 2016 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2008 | 20 | |
| 8 | 2002 | 16 | |
| 9 | 2014 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 2008 | 4 | |
| 13 | 2007 | 4 | |
| 14 | Computational Thinking in Computer Science Classrooms: Viewpoints from CS Educators | 2017 | 3 |
| 15 | Learning and Teaching Computational Thinking – Challenges for Teacher Education | 2018 | 3 |
| 16 | 2003 | 3 | |
| 17 | 2003 | 3 | |
| 18 | 2016 | 1 |
About Jon Good
Jon Good is a scholar working on Computer Science Applications, Ecology, Developmental and Educational Psychology, Nature and Landscape Conservation and Artificial Intelligence, having authored 18 papers that have together received 733 indexed citations. Recurring topics across this work include Teaching and Learning Programming (9 papers), Physiological and biochemical adaptations (6 papers), Online Learning and Analytics (4 papers), Evolutionary Algorithms and Applications (4 papers), Fish Ecology and Management Studies (4 papers), Innovative Teaching and Learning Methods (3 papers), Aquaculture Nutrition and Growth (3 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Computer Science Applications (585 citations), Developmental and Educational Psychology (298 citations), Software (36 citations), Gender Studies (76 citations) and Media Technology (50 citations). Jon Good has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Aman Yadav, Punya Mishra, Joke Voogt, Petra Fisser, Alex Lishinski, Richard Enbody, Christina Krist, Phil Sands, Neil Hazon and W. Gary Anderson. Their work appears in journals such as Journal of Fish Biology, TechTrends, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Education and Information Technologies and Computer Science 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.