Karolina Janacsek
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 1%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 5%
- Clinical Psychology top 10%
- Co-authors
- Dezső NémethJózsef FiserMichael T. UllmanAndrea KóborÁdám TakácsZsuzsa LondeKata HorváthZsófia Zavecz
- Topics
- Neural dynamics and brain function (23 papers)Neural and Behavioral Psychology Studies (23 papers)Child and Animal Learning Development (19 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- HungaryUnited KingdomFrance
In The Last Decade
Karolina Janacsek
92 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 2.0k
- Developmental and Educational Psychology 876
- Experimental and Cognitive Psychology 422
- Social Psychology 299
- Clinical Psychology 194
Countries citing papers authored by Karolina Janacsek
This map shows the geographic impact of Karolina Janacsek'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 Karolina Janacsek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karolina Janacsek more than expected).
Fields of papers citing papers by Karolina Janacsek
This network shows the impact of papers produced by Karolina Janacsek. 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 Karolina Janacsek. The network helps show where Karolina Janacsek may publish in the future.
Co-authorship network of co-authors of Karolina Janacsek
This figure shows the co-authorship network connecting the top 25 collaborators of Karolina Janacsek. A scholar is included among the top collaborators of Karolina Janacsek 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 Karolina Janacsek. Karolina Janacsek 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 | 17 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 20 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 52 | |
| 13 | 39 | |
| 14 | 12 | |
| 15 | 45 | |
| 16 | 37 | |
| 17 | The effect of negative mood and major depressive episode on working memory and implicit learning. | 8 |
| 18 | 21 | |
| 19 | 37 | |
| 20 | 51 |
About Karolina Janacsek
Karolina Janacsek is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and General Decision Sciences, having authored 96 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Neural and Behavioral Psychology Studies (23 papers) and Child and Animal Learning Development (19 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Developmental and Educational Psychology (876 citations) and Experimental and Cognitive Psychology (422 citations). Karolina Janacsek has collaborated with scholars based in Hungary, United Kingdom and France. Frequent co-authors include Dezső Németh, József Fiser, Michael T. Ullman, Andrea Kóbor, Ádám Takács, Zsuzsa Londe, Kata Horváth, Zsófia Zavecz, Matthew Walenski and F. Sayako Earle. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.