Seiji Isotani

6.8k total citations · 2 hit papers
258 papers, 3.3k citations indexed

About

Seiji Isotani is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Sociology and Political Science. According to data from OpenAlex, Seiji Isotani has authored 258 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Developmental and Educational Psychology, 95 papers in Computer Science Applications and 84 papers in Sociology and Political Science. Recurrent topics in Seiji Isotani's work include Educational Games and Gamification (88 papers), Online Learning and Analytics (52 papers) and Education and Digital Technologies (52 papers). Seiji Isotani is often cited by papers focused on Educational Games and Gamification (88 papers), Online Learning and Analytics (52 papers) and Education and Digital Technologies (52 papers). Seiji Isotani collaborates with scholars based in Brazil, United States and United Kingdom. Seiji Isotani's co-authors include Ig Ibert Bittencourt, Armando M. Toda, Wilk Oliveira, Paula T. Palomino, Simone S. Borges, Helena Macedo Reis, Luiz Rodrigues, Vinícius H. S. Durelli, Patrícia A. Jaques and Juho Hamari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Seiji Isotani

226 papers receiving 3.1k citations

Hit Papers

A systematic mapping on gamification applied to education 2014 2026 2018 2022 2014 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiji Isotani Brazil 28 1.7k 1.2k 744 701 690 258 3.3k
Baltasar Fernández‐Manjón Spain 31 1.8k 1.1× 1.2k 1.0× 552 0.7× 585 0.8× 840 1.2× 181 3.2k
Darina Dicheva United States 19 1.7k 1.0× 1.1k 0.9× 634 0.9× 656 0.9× 429 0.6× 93 2.8k
Luis de‐Marcos Spain 18 1.7k 1.0× 966 0.8× 648 0.9× 655 0.9× 659 1.0× 97 2.8k
Marcus Specht Netherlands 32 1.3k 0.8× 1.3k 1.1× 1.0k 1.4× 956 1.4× 379 0.5× 233 3.5k
Sherry Y. Chen Taiwan 34 1.7k 1.0× 851 0.7× 827 1.1× 1.2k 1.7× 379 0.5× 118 3.5k
Kristian Kiili Finland 24 2.1k 1.2× 659 0.6× 411 0.6× 607 0.9× 596 0.9× 76 2.9k
Daniel Burgos Spain 27 871 0.5× 1.3k 1.1× 874 1.2× 1.0k 1.5× 422 0.6× 205 3.6k
Thomas Hainey United Kingdom 19 3.1k 1.8× 1.1k 0.9× 615 0.8× 977 1.4× 1.4k 2.0× 65 4.5k
Martin Ebner Austria 24 943 0.6× 1.4k 1.2× 1.1k 1.4× 1.3k 1.9× 741 1.1× 378 3.7k
Herre van Oostendorp Netherlands 28 2.4k 1.4× 457 0.4× 508 0.7× 846 1.2× 723 1.0× 124 4.0k

Countries citing papers authored by Seiji Isotani

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Isotani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seiji Isotani. 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 Seiji Isotani. The network helps show where Seiji Isotani may publish in the future.

Co-authorship network of co-authors of Seiji Isotani

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Isotani. A scholar is included among the top collaborators of Seiji Isotani 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 Seiji Isotani. Seiji Isotani 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
2.
Vassileva, Julita, et al.. (2025). The Relationship Between Gamification User Types, Demographic Factors, and Gaming Habits. International Journal of Human-Computer Interaction. 41(18). 11806–11820. 2 indexed citations
3.
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.
4.
Oliveira, Wilk, et al.. (2024). Internet of Things for Smart Education: A Systematic Literature Review. Trepo - Institutional Repository of Tampere University. 179–181.
5.
Lima, Danielli Araújo, Wilk Oliveira, Ig Ibert Bittencourt, et al.. (2024). Exploring Brazilian Teachers’ Perceptions and a priori Needs to Design Smart Classrooms. International Journal of Artificial Intelligence in Education. 35(2). 914–965.
7.
Isotani, Seiji, et al.. (2023). Tecnologia Educacional na era da IA. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10(2). 68–101. 2 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.
Oliveira, Wilk, Juho Hamari, Armando M. Toda, et al.. (2022). The effects of personalized gamification on students’ flow experience, motivation, and enjoyment. Smart Learning Environments. 9(1). 65 indexed citations
10.
Bittencourt, Ig Ibert, et al.. (2021). Utilização de notas escolares para predição da nota ENEM em ciências humanas. RENOTE. 19(2). 223–233. 1 indexed citations
11.
Toda, Armando M., Wilk Oliveira, Lei Shi, et al.. (2019). Planning gamification strategies based on user characteristics and DM : a gender-based case study.. Durham Research Online (Durham University). 2 indexed citations
12.
Builes, Jovani Alberto Jiménez, et al.. (2018). New Perspectives in Instructional Design using Semantic Web Technologies: A Systematic Literature Review. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 36(1). 215–239. 7 indexed citations
13.
Nunes, Thiago, Ig Ibert Bittencourt, Seiji Isotani, & Patrícia A. Jaques. (2016). Discouraging gaming the system through interventions of an animated pedagogical agent. Lecture notes in computer science. 9891. 139–151. 1 indexed citations
14.
Jaques, Patrícia A., et al.. (2015). Estado da arte sobre afetividade na formação de grupos em ambientes colaborativos de aprendizagem. Revista Brasileira de Informática na Educação. 23(3). 113–130. 1 indexed citations
15.
Challco, Geiser Chalco, et al.. (2015). Relação entre os Estados Afetivos e as Teorias de Aprendizagem na Formação de Grupos em Ambientes CSCL. Anais.
16.
Isotani, Seiji, et al.. (2012). A Semantic Web-based authoring tool to facilitate the planning of collaborative learning scenarios compliant with learning theories. Computers & Education. 63. 267–284. 48 indexed citations
17.
Brandão, Anarosa A. F., et al.. (2012). iVProg e iTarefa: aprimorando o ensino de algoritmos e programação para iniciantes. Anais ... Workshops do Congresso Brasileiro de Informática na Educação. 1(1). 1 indexed citations
18.
Isotani, Seiji, Riichiro Mizoguchi, Ig Ibert Bittencourt, & Evandro Costa. (2008). Web 3.0 - Os Rumos da Web Semântica e da Web 2.0 nos Ambientes Educacionais. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 1(1). 785–795. 3 indexed citations
19.
Isotani, Seiji & Leônidas de Oliveira Brandão. (2004). Ferramenta de Avaliação Automática no iGeom. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 1(1). 319–328. 4 indexed citations
20.
Brandão, Leônidas de Oliveira & Seiji Isotani. (2003). Uma ferramenta para ensino de Geometria Dinâmica na Internet: iGeom. 1(1). 410–421. 2 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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