Gerald Futschek
- Computer Science Applications top 5%
- Developmental and Educational Psychology
- Education
- Information Systems
- Artificial Intelligence
- Co-authors
- Valentina DagienėAntonio CartelliGabrielė StupurienėChronis KynigosElisabeth GuentherEdgar Weippl
- Topics
- Teaching and Learning Programming (6 papers)Experimental Learning in Engineering (2 papers)Visual and Cognitive Learning Processes (1 paper)
- Journals
- Constructivist FoundationsRePEc: Research Papers in EconomicsEdMedia: World Conference on Educational Media and Technology
- Partner nations
- AustriaItalyUnited Kingdom
In The Last Decade
Gerald Futschek
10 papers receiving 82 citations
Peers
Comparison fields: 5 of 29
- Computer Science Applications 65
- Developmental and Educational Psychology 40
- Education 23
- Information Systems 17
- Artificial Intelligence 8
Countries citing papers authored by Gerald Futschek
This map shows the geographic impact of Gerald Futschek'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 Gerald Futschek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Futschek more than expected).
Fields of papers citing papers by Gerald Futschek
This network shows the impact of papers produced by Gerald Futschek. 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 Gerald Futschek. The network helps show where Gerald Futschek may publish in the future.
Co-authorship network of co-authors of Gerald Futschek
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Futschek. A scholar is included among the top collaborators of Gerald Futschek 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 Gerald Futschek. Gerald Futschek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On the Way to Constructionist Learning of Computational Thinking in Regular School Settings | 5 |
| 2 | Creativity in Solving Short Tasks for Learning Computational Thinking | 18 |
| 3 | 3 | |
| 4 | Informatisches Denken in der Primarstufe: die Wiener Zauberschule der Informatik (WIZIK). | 1 |
| 5 | Re-Situating Constructionism | 1 |
| 6 | Extreme Didactic Reduction in Computational Thinking Education | 5 |
| 7 | Developing Algorithmic Thinking by Inventing and Playing Algorithms | 30 |
| 8 | 20 | |
| 9 | E-Learning without Text and Language: A Language-Free Learning Model | 1 |
| 10 | 4 |
About Gerald Futschek
Gerald Futschek is a scholar working on Computer Science Applications, Human Factors and Ergonomics and Museology, having authored 10 papers that have together received 88 indexed citations. Recurring topics across this work include Teaching and Learning Programming (6 papers), Experimental Learning in Engineering (2 papers) and Visual and Cognitive Learning Processes (1 paper). The work is most often cited by research in Computer Science Applications (65 citations), Developmental and Educational Psychology (40 citations) and Software (5 citations). Gerald Futschek has collaborated with scholars based in Austria, Italy and United Kingdom. Frequent co-authors include Valentina Dagienė, Antonio Cartelli, Gabrielė Stupurienė, Chronis Kynigos, Elisabeth Guenther and Edgar Weippl. Their work appears in journals such as Constructivist Foundations, RePEc: Research Papers in Economics and EdMedia: World Conference on Educational Media 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.