Gabrielė Stupurienė
- Computer Science Applications top 1%
- Developmental and Educational Psychology top 5%
- Education top 10%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Valentina DagienėTatjana JevsikovaAnita JuškevičienėSue SentanceCruz IzuClaudio MiroloLinda MannilaAmber Settle
- Topics
- Teaching and Learning Programming (14 papers)Educational Games and Gamification (6 papers)Online Learning and Analytics (3 papers)
- Partner nations
- LithuaniaAustraliaUnited Kingdom
In The Last Decade
Gabrielė Stupurienė
18 papers receiving 382 citations
Peers
Comparison fields: 5 of 51
- Computer Science Applications 301
- Developmental and Educational Psychology 150
- Education 108
- Information Systems 91
- Artificial Intelligence 50
Countries citing papers authored by Gabrielė Stupurienė
This map shows the geographic impact of Gabrielė Stupurienė'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 Gabrielė Stupurienė with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielė Stupurienė more than expected).
Fields of papers citing papers by Gabrielė Stupurienė
This network shows the impact of papers produced by Gabrielė Stupurienė. 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 Gabrielė Stupurienė. The network helps show where Gabrielė Stupurienė may publish in the future.
Co-authorship network of co-authors of Gabrielė Stupurienė
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielė Stupurienė. A scholar is included among the top collaborators of Gabrielė Stupurienė 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 Gabrielė Stupurienė. Gabrielė Stupurienė is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 31 | |
| 7 | 22 | |
| 8 | 53 | |
| 9 | Creativity in Solving Short Tasks for Learning Computational Thinking | 18 |
| 10 | 2 | |
| 11 | 41 | |
| 12 | 6 | |
| 13 | 40 | |
| 14 | 22 | |
| 15 | 13 | |
| 16 | 97 | |
| 17 | 37 | |
| 18 | Informatics education based on solving attractive tasks through a contest | 11 |
About Gabrielė Stupurienė
Gabrielė Stupurienė is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Gender Studies, having authored 18 papers that have together received 411 indexed citations. Recurring topics across this work include Teaching and Learning Programming (14 papers), Educational Games and Gamification (6 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Computer Science Applications (301 citations), Developmental and Educational Psychology (150 citations) and Software (24 citations). Gabrielė Stupurienė has collaborated with scholars based in Lithuania, Australia and United Kingdom. Frequent co-authors include Valentina Dagienė, Tatjana Jevsikova, Anita Juškevičienė, Sue Sentance, Cruz Izu, Claudio Mirolo, Linda Mannila, Amber Settle, Gerald Futschek and Barbara Demo. Their work appears in journals such as Computers & Education, Sustainability and Technology Pedagogy and 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.