Attila Krajcsi
- Statistics and Probability top 2%
- Education top 5%
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology
- Co-authors
- I MóroczMihály RacsmányDezső NémethZoltán KozinszkyCsaba PléhAttila PálKarolina JanacsekFrancesco Sella
- Topics
- Cognitive and developmental aspects of mathematical skills (24 papers)Mathematics Education and Teaching Techniques (19 papers)Reading and Literacy Development (11 papers)
- Cited by
- Statistics and ProbabilityDevelopmental and Educational PsychologyTheoretical Computer Science
- Journals
- Journal of Experimental Psychology Human Perception & PerformanceFrontiers in PsychologyMemory & Cognition
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Attila Krajcsi
31 papers receiving 371 citations
Peers
Comparison fields: 5 of 59
- Statistics and Probability 258
- Education 172
- Developmental and Educational Psychology 162
- Cognitive Neuroscience 120
- Experimental and Cognitive Psychology 42
Countries citing papers authored by Attila Krajcsi
This map shows the geographic impact of Attila Krajcsi'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 Attila Krajcsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Krajcsi more than expected).
Fields of papers citing papers by Attila Krajcsi
This network shows the impact of papers produced by Attila Krajcsi. 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 Attila Krajcsi. The network helps show where Attila Krajcsi may publish in the future.
Co-authorship network of co-authors of Attila Krajcsi
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Krajcsi. A scholar is included among the top collaborators of Attila Krajcsi 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 Attila Krajcsi. Attila Krajcsi 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 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 15 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 30 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 44 | |
| 16 | 21 | |
| 17 | 15 | |
| 18 | 15 | |
| 19 | 37 | |
| 20 | 1 |
About Attila Krajcsi
Attila Krajcsi is a scholar working on Statistics and Probability, Theoretical Computer Science and Developmental and Educational Psychology, having authored 34 papers that have together received 384 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (24 papers), Mathematics Education and Teaching Techniques (19 papers) and Reading and Literacy Development (11 papers). The work is most often cited by research in Statistics and Probability (258 citations), Developmental and Educational Psychology (162 citations) and Theoretical Computer Science (8 citations). Attila Krajcsi has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include I Mórocz, Mihály Racsmány, Dezső Németh, Zoltán Kozinszky, Csaba Pléh, Attila Pál, Karolina Janacsek, Francesco Sella, Emily Slusser and Ágnes Lukács. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Frontiers in Psychology and Memory & Cognition.
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.