Fabiano A. Dorça
- Computer Science Applications top 1%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Education top 10%
- Co-authors
- Márcia A. FernandesRafael Dias AraújoRenan G. CattelanA. C. RODRIGUESCristiano M. SilvaGuilherme José Pimentel Lopes de OliveiraVítor Oliveira CarvalhoMárcia Rodrigues de Moura Fernandes
- Topics
- Online Learning and Analytics (29 papers)Open Education and E-Learning (23 papers)Learning Styles and Cognitive Differences (22 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyArtificial Intelligence
In The Last Decade
Fabiano A. Dorça
56 papers receiving 349 citations
Peers
Comparison fields: 5 of 45
- Computer Science Applications 266
- Developmental and Educational Psychology 165
- Artificial Intelligence 140
- Information Systems 96
- Education 76
Countries citing papers authored by Fabiano A. Dorça
This map shows the geographic impact of Fabiano A. Dorça'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 Fabiano A. Dorça with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabiano A. Dorça more than expected).
Fields of papers citing papers by Fabiano A. Dorça
This network shows the impact of papers produced by Fabiano A. Dorça. 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 Fabiano A. Dorça. The network helps show where Fabiano A. Dorça may publish in the future.
Co-authorship network of co-authors of Fabiano A. Dorça
This figure shows the co-authorship network connecting the top 25 collaborators of Fabiano A. Dorça. A scholar is included among the top collaborators of Fabiano A. Dorça 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 Fabiano A. Dorça. Fabiano A. Dorça 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | Social and Collaborative Interactions for Educational Content Enrichment in ULEs. | 14 |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 6 |
About Fabiano A. Dorça
Fabiano A. Dorça is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 69 papers that have together received 377 indexed citations. Recurring topics across this work include Online Learning and Analytics (29 papers), Open Education and E-Learning (23 papers) and Learning Styles and Cognitive Differences (22 papers). The work is most often cited by research in Computer Science Applications (266 citations), Developmental and Educational Psychology (165 citations) and Artificial Intelligence (140 citations). Fabiano A. Dorça has collaborated with scholars based in Brazil and Germany. Frequent co-authors include Márcia A. Fernandes, Rafael Dias Araújo, Renan G. Cattelan, A. C. RODRIGUES, Cristiano M. Silva, Guilherme José Pimentel Lopes de Oliveira, Vítor Oliveira Carvalho and Márcia Rodrigues de Moura Fernandes. Their work appears in journals such as Expert Systems with Applications, Educational Technology & Society and International Journal of Artificial Intelligence in 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.