Manuel Ninaus
- Computer Science Applications top 0.5%
- Online Learning and Analytics 7
- Teaching and Learning Programming 7
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- Educational Games and Gamification 37
- Human-Computer Interaction top 2%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 11
- Neural and Behavioral Psychology Studies 10
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- Visual and Cognitive Learning Processes 6
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- Cognitive and developmental aspects of mathematical skills 11
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- Intelligent Tutoring Systems and Adaptive Learning 7
- Co-authors
- Korbinian MoellerKristian KiiliSilvia Erika KoberGuilherme WoodTheodore LimChrista NeuperMichela OttCláudia Ribeiro
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterología (5 papers)PLoS ONE (3 papers)Annals of the New York Academy of Sciences (1 paper)
In The Last Decade
Manuel Ninaus
73 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Science Applications 533
- Developmental and Educational Psychology 1.2k
- Human-Computer Interaction 174
- Cognitive Neuroscience 593
- Experimental and Cognitive Psychology 333
Countries citing papers authored by Manuel Ninaus
This map shows the geographic impact of Manuel Ninaus'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 Manuel Ninaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Ninaus more than expected).
Fields of papers citing papers by Manuel Ninaus
This network shows the impact of papers produced by Manuel Ninaus. 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 Manuel Ninaus. The network helps show where Manuel Ninaus may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manuel Ninaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 11 | |
| 17 | 2017 | 25 | |
| 18 | 2013 | 117 | |
| 19 | 2013 | 160 | |
| 20 | 2013 | 16 |
About Manuel Ninaus
Manuel Ninaus is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Experimental and Cognitive Psychology, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Educational Games and Gamification (37 papers), Cognitive and developmental aspects of mathematical skills (11 papers), EEG and Brain-Computer Interfaces (11 papers), Neural and Behavioral Psychology Studies (10 papers), Online Learning and Analytics (7 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Teaching and Learning Programming (7 papers) and Visual and Cognitive Learning Processes (6 papers). The work is most often cited by research in Computer Science Applications (533 citations), Developmental and Educational Psychology (1.2k citations) and Human-Computer Interaction (174 citations). Manuel Ninaus has collaborated with scholars based in Germany, Austria and Finland. Frequent co-authors include Korbinian Moeller, Kristian Kiili, Silvia Erika Kober, Guilherme Wood, Theodore Lim, Christa Neuper, Michela Ott, Cláudia Ribeiro, Elizabeth Boyle and Thomas Connolly. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the New York Academy of Sciences.
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.