Christian Giang
- Computer Science Applications top 2%
- Developmental and Educational Psychology top 10%
- Education
- Biomedical Engineering
- Information Systems
- Co-authors
- Francesco MondadaAlberto PiattiMorgane ChevalierLaila El‐HamamsyJean‐Philippe PelletBernard BaumbergerCatherine AudrinMargarida Roméro
- Topics
- Teaching and Learning Programming (9 papers)Online Learning and Analytics (4 papers)Educational Games and Gamification (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessComputers & Education
- Partner nations
- SwitzerlandItalyFrance
In The Last Decade
Christian Giang
13 papers receiving 304 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 193
- Developmental and Educational Psychology 84
- Education 47
- Biomedical Engineering 44
- Information Systems 41
Countries citing papers authored by Christian Giang
This map shows the geographic impact of Christian Giang'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 Christian Giang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Giang more than expected).
Fields of papers citing papers by Christian Giang
This network shows the impact of papers produced by Christian Giang. 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 Christian Giang. The network helps show where Christian Giang may publish in the future.
Co-authorship network of co-authors of Christian Giang
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Giang. A scholar is included among the top collaborators of Christian Giang 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 Christian Giang. Christian Giang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 46 | |
| 5 | Early Prediction of Conceptual Understanding in Interactive Simulations | 4 |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 38 | |
| 10 | 5 | |
| 11 | 126 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 21 |
About Christian Giang
Christian Giang is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Rehabilitation, having authored 14 papers that have together received 310 indexed citations. Recurring topics across this work include Teaching and Learning Programming (9 papers), Online Learning and Analytics (4 papers) and Educational Games and Gamification (4 papers). The work is most often cited by research in Computer Science Applications (193 citations), Developmental and Educational Psychology (84 citations) and Rehabilitation (39 citations). Christian Giang has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Francesco Mondada, Alberto Piatti, Morgane Chevalier, Laila El‐Hamamsy, Jean‐Philippe Pellet, Bernard Baumberger, Catherine Audrin, Margarida Roméro, Elvira Pirondini and Adrian G. Guggisberg. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & 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.