Flávio S. Azevedo

935 citations
23 papers · 633 indexed · h-index 11

Flávio S. Azevedo

22 papers receiving 590 citations

Peers

Flávio S. Azevedo
Comparison fields: 5 of 80
  • Human Factors and Ergonomics 52
  • Developmental and Educational Psychology 198
  • Computer Science Applications 72
  • Safety Research 101
  • Education 347
Replace Dana Vedder‐Weiss with:
Dana Vedder‐Weiss Israel
Joseph L. Polman United States
Hosun Kang United States
April Luehmann United States
Caitlin K. Martin United States
Victoria Hand United States
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Britte Haugan Cheng United States
Michiel van Eijck Netherlands
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Flávio S. Azevedo relative to Dana Vedder‐Weiss Israel Dana Vedder‐Weiss's profile →
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Citations per year

Countries citing papers authored by Flávio S. Azevedo

Since Specialization
Citations

This map shows the geographic impact of Flávio S. Azevedo'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 Flávio S. Azevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávio S. Azevedo more than expected).

Fields of papers citing papers by Flávio S. Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flávio S. Azevedo. 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 Flávio S. Azevedo. The network helps show where Flávio S. Azevedo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Flávio S. Azevedo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Flávio S. Azevedo Line = papers co-authored together Flávio S. Azevedo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202213
3 20215
4 20213
5 20191
6 20186
7 20182
8 201741
9 201725
10
Embodied Cognition in Observational Amateur Astronomy.
20161
11 20161
12 201414
13 201318
14 201229
15 2011123
16
Mapping the learning pathways and processes associated with the development of expertise and learner identities
20085
17
Serious play: A comparative study of engagement and learning in hobby practices
20055
18 20046
19 200025
20
PARAgente: Exploring the Issues in Agent-Based User Interfaces.
19955

About Flávio S. Azevedo

Flávio S. Azevedo is a scholar working on Human Factors and Ergonomics, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 23 papers that have together received 633 indexed citations. Recurring topics across this work include Science Education and Pedagogy (5 papers), Innovative Teaching and Learning Methods (5 papers), Educational Strategies and Epistemologies (4 papers), Innovative Education and Learning Practices (4 papers), Management and Organizational Studies (2 papers), Psychological and Educational Research Studies (2 papers), Impact of Technology on Adolescents (2 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Human Factors and Ergonomics (52 citations), Developmental and Educational Psychology (198 citations) and Computer Science Applications (72 citations). Flávio S. Azevedo has collaborated with scholars based in United States. Frequent co-authors include Thomas M. Philip, Andrea A. diSessa, Bruce Sherin, Vincent Basile, J. Alfredo Sánchez, John J. Leggett, Sarah Harris, Kevin Nguyen, Anthony Petrosino and Victor R. Lee. Their work appears in journals such as Science Education, Journal of the Learning Sciences and Cognition and Instruction.

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.

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