Piia Näykki
- Education top 1%
- Developmental and Educational Psychology top 1%
- Information Systems top 2%
- Social Psychology top 5%
- Computer Science Applications top 1%
- Co-authors
- Sanna JärveläJaana IsohätäläHanna JärvenojaPäivi HäkkinenJari LaruTeemu ValtonenPaul A. KirschnerArto K. Ahonen
- Topics
- Innovative Teaching and Learning Methods (28 papers)Online and Blended Learning (18 papers)Communication in Education and Healthcare (8 papers)
- Partner nations
- FinlandNetherlandsFrance
In The Last Decade
Piia Näykki
37 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Education 918
- Developmental and Educational Psychology 761
- Information Systems 310
- Social Psychology 266
- Computer Science Applications 261
Countries citing papers authored by Piia Näykki
This map shows the geographic impact of Piia Näykki'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 Piia Näykki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piia Näykki more than expected).
Fields of papers citing papers by Piia Näykki
This network shows the impact of papers produced by Piia Näykki. 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 Piia Näykki. The network helps show where Piia Näykki may publish in the future.
Co-authorship network of co-authors of Piia Näykki
This figure shows the co-authorship network connecting the top 25 collaborators of Piia Näykki. A scholar is included among the top collaborators of Piia Näykki 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 Piia Näykki. Piia Näykki 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 31 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 88 | |
| 12 | 60 | |
| 13 | 14 | |
| 14 | 86 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 74 | |
| 18 | Preparing teacher-students for twenty-first-century learning practices (PREP 21): a framework for enhancing collaborative problem-solving and strategic learning skillsbreakdown → | 228 |
| 19 | Enhancing Teacher Education Students' Collaborative Problem-Solving and Shared Regulation of Learning. | 3 |
| 20 | Structuring and Regulating Collaborative Learning in Higher Education with Wireless Networks and Mobile Tools. | 78 |
About Piia Näykki
Piia Näykki is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (28 papers), Online and Blended Learning (18 papers) and Communication in Education and Healthcare (8 papers). The work is most often cited by research in Developmental and Educational Psychology (761 citations), Computer Science Applications (261 citations) and Education (918 citations). Piia Näykki has collaborated with scholars based in Finland, Netherlands and France. Frequent co-authors include Sanna Järvelä, Jaana Isohätälä, Hanna Järvenoja, Sanna Järvelä, Päivi Häkkinen, Jari Laru, Teemu Valtonen, Paul A. Kirschner, Arto K. Ahonen and Kati Mäkitalo‐Siegl. Their work appears in journals such as Computers in Human Behavior, Computers & Education and Teaching and Teacher 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.