Sandra Gama
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
- Teaching and Learning Programming
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- Educational Games and Gamification
Papers in
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- Online Learning and Analytics 11
- Teaching and Learning Programming 4
- Co-authors
- Daniel GonçalvesJoaquim JorgeGabriel BarataAmir Hossein NabizadehHamed Nabizadeh RafsanjaniManuel J. FonsecaFrancisco S. MeloDébora Maria Barroso Paiva
- Journals
- Computers & Graphics (3 papers)IEEE Transactions on Learning Technologies (2 papers)Visual Informatics (1 paper)Smart Learning Environments (1 paper)Technology Knowledge and Learning (1 paper)
- Partner nations
- PortugalUnited Arab EmiratesBrazil
In The Last Decade
Sandra Gama
33 papers receiving 866 citations
Peers
Comparison fields: 5 of 93
- Computer Science Applications 366
- Developmental and Educational Psychology 611
- Human-Computer Interaction 123
- Information Systems 178
- Education 156
Countries citing papers authored by Sandra Gama
This map shows the geographic impact of Sandra Gama'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 Sandra Gama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Gama more than expected).
Fields of papers citing papers by Sandra Gama
This network shows the impact of papers produced by Sandra Gama. 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 Sandra Gama. The network helps show where Sandra Gama may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Sandra Gama, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 2 | |
| 12 | 2019 | 41 | |
| 13 | 2018 | 0 | |
| 14 | 2016 | 2 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 3 | |
| 17 | 2014 | 7 | |
| 18 | 2013 | 48 | |
| 19 | 2013 | 192 | |
| 20 | 2010 | 5 |
About Sandra Gama
Sandra Gama is a scholar working on Computer Science Applications, Human-Computer Interaction, Developmental and Educational Psychology, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 41 papers that have together received 925 indexed citations. Recurring topics across this work include Educational Games and Gamification (15 papers), Data Visualization and Analytics (14 papers), Online Learning and Analytics (11 papers), Advanced Text Analysis Techniques (5 papers), Digital Games and Media (4 papers), Teaching and Learning Programming (4 papers), Impact of Technology on Adolescents (3 papers) and Media Influence and Health (3 papers). The work is most often cited by research in Computer Science Applications (366 citations), Developmental and Educational Psychology (611 citations), Human-Computer Interaction (123 citations), Information Systems (178 citations) and Education (156 citations). Sandra Gama has collaborated with scholars based in Portugal, United Arab Emirates and Brazil. Frequent co-authors include Daniel Gonçalves, Joaquim Jorge, Gabriel Barata, Amir Hossein Nabizadeh, Hamed Nabizadeh Rafsanjani, Manuel J. Fonseca, Francisco S. Melo, Débora Maria Barroso Paiva, Tiago Martins and Ana María Abreu. Their work appears in journals such as Computers & Graphics, IEEE Transactions on Learning Technologies, Visual Informatics, Smart Learning Environments and Technology Knowledge and Learning.
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.