Ágnes Lukács
- Developmental and Educational Psychology top 2%
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Statistics and Probability top 5%
- Developmental Neuroscience top 10%
- Co-authors
- Ferenc KeményCsaba PléhMihály RacsmányEnikő LadányiLaurence B. LeonardDezső NémethBálint ForgácsJarrad A. G. Lum
- Topics
- Reading and Literacy Development (32 papers)Language Development and Disorders (26 papers)Neurobiology of Language and Bilingualism (25 papers)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Ágnes Lukács
58 papers receiving 700 citations
Peers
Comparison fields: 5 of 67
- Developmental and Educational Psychology 505
- Cognitive Neuroscience 409
- Experimental and Cognitive Psychology 113
- Statistics and Probability 67
- Developmental Neuroscience 56
Countries citing papers authored by Ágnes Lukács
This map shows the geographic impact of Ágnes Lukács'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 Ágnes Lukács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Lukács more than expected).
Fields of papers citing papers by Ágnes Lukács
This network shows the impact of papers produced by Ágnes Lukács. 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 Ágnes Lukács. The network helps show where Ágnes Lukács may publish in the future.
Co-authorship network of co-authors of Ágnes Lukács
This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Lukács. A scholar is included among the top collaborators of Ágnes Lukács 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 Ágnes Lukács. Ágnes Lukács is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 44 | |
| 12 | 32 | |
| 13 | 41 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 23 | |
| 18 | COMPREHENSION OF RELATIVE CLAUSES IN HUNGARIAN CHILDREN WITH AND WITHOUT LANGUAGE DISORDER | 1 |
| 19 | 10 | |
| 20 | Hungarian diagnostic tools of verbal working memory functions | 4 |
About Ágnes Lukács
Ágnes Lukács is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Developmental Neuroscience, having authored 64 papers that have together received 743 indexed citations. Recurring topics across this work include Reading and Literacy Development (32 papers), Language Development and Disorders (26 papers) and Neurobiology of Language and Bilingualism (25 papers). The work is most often cited by research in Developmental and Educational Psychology (505 citations), Cognitive Neuroscience (409 citations) and Developmental Neuroscience (56 citations). Ágnes Lukács has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Ferenc Kemény, Csaba Pléh, Mihály Racsmány, Enikő Ladányi, Laurence B. Leonard, Dezső Németh, Bálint Forgács, Jarrad A. G. Lum, Michael T. Ullman and Gyula Demeter. Their work appears in journals such as PLoS ONE, Scientific Reports and Brain Research.
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.