Geiser Chalco Challco

447 total citations
28 papers, 137 citations indexed

About

Geiser Chalco Challco is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Geiser Chalco Challco has authored 28 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Developmental and Educational Psychology, 13 papers in Computer Science Applications and 5 papers in Artificial Intelligence. Recurrent topics in Geiser Chalco Challco's work include Educational Games and Gamification (11 papers), Innovative Teaching and Learning Methods (10 papers) and Flow Experience in Various Fields (6 papers). Geiser Chalco Challco is often cited by papers focused on Educational Games and Gamification (11 papers), Innovative Teaching and Learning Methods (10 papers) and Flow Experience in Various Fields (6 papers). Geiser Chalco Challco collaborates with scholars based in Brazil, United States and Moldova. Geiser Chalco Challco's co-authors include Seiji Isotani, Ig Ibert Bittencourt, Riichiro Mizoguchi, Dilvan de Abreu Moreira, Simone S. Borges, Claudio Simón Hutz, Yu Lu, Patrícia A. Jaques, Alexandre Marinho and Marco Aurélio Gerosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Geiser Chalco Challco

22 papers receiving 131 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geiser Chalco Challco Brazil 7 85 55 27 24 20 28 137
Judith ter Vrugte Netherlands 7 166 2.0× 48 0.9× 21 0.8× 82 3.4× 43 2.1× 14 222
Celeste Pilegard United States 8 90 1.1× 24 0.4× 21 0.8× 39 1.6× 14 0.7× 13 152
Stuart Hallifax France 5 129 1.5× 62 1.1× 45 1.7× 36 1.5× 34 1.7× 10 174
Joan‐Tomàs Pujolà Spain 7 63 0.7× 30 0.5× 13 0.5× 62 2.6× 29 1.4× 27 230
Marcela Pessoa Brazil 7 115 1.4× 81 1.5× 77 2.9× 46 1.9× 29 1.4× 72 215
Bente Meyer Denmark 7 101 1.2× 28 0.5× 51 1.9× 65 2.7× 40 2.0× 33 199
Helmut M. Niegemann Germany 7 50 0.6× 22 0.4× 29 1.1× 62 2.6× 16 0.8× 18 143
Philippe Dessus France 7 61 0.7× 35 0.6× 31 1.1× 43 1.8× 38 1.9× 35 180
Berkan Çelik Türkiye 5 134 1.6× 97 1.8× 76 2.8× 91 3.8× 48 2.4× 15 255
Myint Swe Khine Australia 3 54 0.6× 19 0.3× 20 0.7× 59 2.5× 13 0.7× 5 116

Countries citing papers authored by Geiser Chalco Challco

Since Specialization
Citations

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

Fields of papers citing papers by Geiser Chalco Challco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geiser Chalco Challco. 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 Geiser Chalco Challco. The network helps show where Geiser Chalco Challco may publish in the future.

Co-authorship network of co-authors of Geiser Chalco Challco

This figure shows the co-authorship network connecting the top 25 collaborators of Geiser Chalco Challco. A scholar is included among the top collaborators of Geiser Chalco Challco 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 Geiser Chalco Challco. Geiser Chalco Challco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Martins, Flávio Pinheiro, Luciana Oranges Cezarino, Geiser Chalco Challco, et al.. (2025). The Role of Hybrid Learning in Achieving the Sustainable Development Goals. Sustainable Development. 33(4). 4792–4809.
3.
Rodrigues, Luiz, Geiser Chalco Challco, Lívia Costa de Oliveira, et al.. (2024). MathAIde: A Qualitative Study of Teachers’ Perceptions of an ITS Unplugged for Underserved Regions. International Journal of Artificial Intelligence in Education. 35(1). 2–30. 3 indexed citations
4.
Palomino, Paula T., Geiser Chalco Challco, Álvaro Sobrinho, et al.. (2024). AI in Education Unplugged Support Equity Between Rural and Urban Areas in Brazil. 143–154.
5.
Bittencourt, Ig Ibert, Yu Lu, Geiser Chalco Challco, et al.. (2024). Psychometric properties of the Brazilian-Portuguese Flow State Scale Short (FSS-BR-S). PLoS ONE. 19(2). e0286639–e0286639.
6.
Toda, Armando M., et al.. (2024). Effects of a collaborative gamification on learning and engagement of children with Autism. Universal Access in the Information Society. 24(1). 911–932. 3 indexed citations
7.
Challco, Geiser Chalco, Wesley Vieira da Silva, Bruno Setton Gonçalves, et al.. (2024). Blended learning and media centers: A bibliometric analysis. SHILAP Revista de lepidopterología. 10. 100919–100919. 1 indexed citations
8.
Rodrigues, Luiz, Geiser Chalco Challco, Lívia Costa de Oliveira, et al.. (2023). Teacher-Centered Intelligent Tutoring Systems: Design Considerations from Brazilian, Public School Teachers. 1419–1430. 2 indexed citations
9.
Bittencourt, Ig Ibert, et al.. (2023). Revisão Sistemática da Literatura sobre Gamificação, Satisfação e Diversão na Educação. Revista Brasileira de Informática na Educação. 31. 887–905.
10.
Bittencourt, Ig Ibert, et al.. (2023). Positive Artificial Intelligence in Education (P-AIED): A Roadmap. International Journal of Artificial Intelligence in Education. 34(3). 732–792. 23 indexed citations
11.
Challco, Geiser Chalco, et al.. (2023). Gamificação e a Experiência de Fluxo no Aprendizado de Programação Básica no Ensino Superior. 900–911. 1 indexed citations
12.
Bittencourt, Ig Ibert, et al.. (2022). Two billion registered students affected by stereotyped educational environments: an analysis of gender-based color bias. Humanities and Social Sciences Communications. 9(1). 249–249. 7 indexed citations
13.
Bittencourt, Ig Ibert, Yu Lu, Geiser Chalco Challco, et al.. (2021). Validation and psychometric properties of the Brazilian-Portuguese dispositional flow scale 2 (DFS-BR). PLoS ONE. 16(7). e0253044–e0253044. 12 indexed citations
14.
Challco, Geiser Chalco, et al.. (2021). Restrição de tempo afeta na experiência de fluxo e no ensino de literatura? Estudo experimental e análises no kahoot!. RENOTE. 19(1). 268–277. 2 indexed citations
16.
Challco, Geiser Chalco, et al.. (2016). Toward a Unified Modeling of Learner's Growth Process and Flow Theory.. Educational Technology & Society. 19(2). 215–227. 20 indexed citations
17.
Challco, Geiser Chalco, et al.. (2016). Step Towards a Model to Bridge the Gap between Personality Traits and Collaborative Learning Roles. Interaction design & architecture(s). 124–144. 6 indexed citations
18.
Challco, Geiser Chalco, et al.. (2015). Relação entre os Estados Afetivos e as Teorias de Aprendizagem na Formação de Grupos em Ambientes CSCL. Anais.
19.
Challco, Geiser Chalco, et al.. (2015). Relação entre os Estados Afetivos e as Teorias de Aprendizagem na Formação de Grupos em Ambientes CSCL. Anais do ... Simpósio Brasileiro de Informática na Educação. 1. 1012–1012. 2 indexed citations
20.
Challco, Geiser Chalco, Dilvan de Abreu Moreira, Ig Ibert Bittencourt, Riichiro Mizoguchi, & Seiji Isotani. (2015). Personalization of Gamification in Collaborative Learning Contexts using Ontologies. IEEE Latin America Transactions. 13(6). 1995–2002. 23 indexed citations

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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