Gyöngyvér Molnár
- Developmental and Educational Psychology top 2%
- Education top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Computer Science Applications top 2%
- Co-authors
- Benő CsapóSamuel GreiffJoachim FunkeSascha WüstenbergAndreas FischerAttila PásztorAndrea MagyarMarkku Niemivirta
- Topics
- Innovative Teaching and Learning Methods (16 papers)Hungarian Social, Economic and Educational Studies (15 papers)Educational and Psychological Assessments (13 papers)
- Cited by
- Developmental and Educational PsychologyComputer Science ApplicationsExperimental and Cognitive Psychology
- Partner nations
- HungaryLuxembourgGermany
In The Last Decade
Gyöngyvér Molnár
81 papers receiving 920 citations
Peers
Comparison fields: 5 of 95
- Developmental and Educational Psychology 453
- Education 359
- Experimental and Cognitive Psychology 301
- Artificial Intelligence 151
- Computer Science Applications 146
Countries citing papers authored by Gyöngyvér Molnár
This map shows the geographic impact of Gyöngyvér Molnár'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 Gyöngyvér Molnár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyöngyvér Molnár more than expected).
Fields of papers citing papers by Gyöngyvér Molnár
This network shows the impact of papers produced by Gyöngyvér Molnár. 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 Gyöngyvér Molnár. The network helps show where Gyöngyvér Molnár may publish in the future.
Co-authorship network of co-authors of Gyöngyvér Molnár
This figure shows the co-authorship network connecting the top 25 collaborators of Gyöngyvér Molnár. A scholar is included among the top collaborators of Gyöngyvér Molnár 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 Gyöngyvér Molnár. Gyöngyvér Molnár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 28 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 29 | |
| 19 | Towards entertaining and efficient educational games | 2 |
| 20 | Measurement invariance of Complex Problem Solving ability measured by MicroDYN | 1 |
About Gyöngyvér Molnár
Gyöngyvér Molnár is a scholar working on Developmental and Educational Psychology, Geography, Planning and Development and Computer Science Applications, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (16 papers), Hungarian Social, Economic and Educational Studies (15 papers) and Educational and Psychological Assessments (13 papers). The work is most often cited by research in Developmental and Educational Psychology (453 citations), Computer Science Applications (146 citations) and Experimental and Cognitive Psychology (301 citations). Gyöngyvér Molnár has collaborated with scholars based in Hungary, Luxembourg and Germany. Frequent co-authors include Benő Csapó, Samuel Greiff, Joachim Funke, Sascha Wüstenberg, Andreas Fischer, Attila Pásztor, Andrea Magyar, Markku Niemivirta, Anna Tapola and Heta Tuominen. Their work appears in journals such as Scientific Reports, Journal of Educational Psychology and Computers & 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.