Lilla Magyari

1.5k citations
22 papers · 850 indexed · h-index 12

Lilla Magyari

22 papers receiving 829 citations

Peers

Lilla Magyari
Comparison fields: 5 of 70
  • Cognitive Neuroscience 524
  • Experimental and Cognitive Psychology 281
  • Language and Linguistics 191
  • Developmental and Educational Psychology 227
  • Developmental Biology 34
Replace Jutta L. Mueller with:
Jutta L. Mueller Germany
Jörg Bahlmann Germany
Karin Stromswold United States
Elliot Murphy United Kingdom
Susanne Reiterer Austria
Tineke M. Snijders Netherlands
Emiliano Zaccarella Germany
Hugh W. Buckingham United States
Gregory Hickok United States
Cyrille Magne United States
Lilla Magyari relative to Jutta L. Mueller Germany Jutta L. Mueller's profile →
Citations per field
00.5×1.5×1.8×
Jutta L. Mueller · 1×
Citations per year

Countries citing papers authored by Lilla Magyari

Since Specialization
Citations

This map shows the geographic impact of Lilla Magyari'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 Lilla Magyari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilla Magyari more than expected).

Fields of papers citing papers by Lilla Magyari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lilla Magyari. 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 Lilla Magyari. The network helps show where Lilla Magyari may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lilla Magyari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lilla Magyari Line = papers co-authored together Lilla Magyari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20232
3 20235
4 20222
5 202210
6 202126
7 202120
8 202018
9 2018103
10 201728
11 2015106
12 201549
13
Neural correlates of speech preparation in interactive turn-taking: An early start?
20142
14 2014112
15
EEG correlates of processes related to turn-taking in an interactive quiz paradigm
20131
16 2012114
17 201271
18
Neuronal correlates of anticipation related to turn-taking in conversations
20111
19 2009148
20
Timing in conversation: the anticipation of turn endings
20086

About Lilla Magyari

Lilla Magyari is a scholar working on Developmental Biology, Anatomy and Experimental and Cognitive Psychology, having authored 22 papers that have together received 850 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (7 papers), Child and Animal Learning Development (6 papers), Language, Metaphor, and Cognition (6 papers), Language, Discourse, Communication Strategies (5 papers), Animal Vocal Communication and Behavior (4 papers), Neural dynamics and brain function (3 papers), Speech and dialogue systems (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cognitive Neuroscience (524 citations), Experimental and Cognitive Psychology (281 citations) and Language and Linguistics (191 citations). Lilla Magyari has collaborated with scholars based in Netherlands, Hungary and Germany. Frequent co-authors include Marcel Bastiaansen, Stephen C. Levinson, Jan P. de Ruiter, Peter Hagoort, Sara Bögels, Johannes Vorwerk, Carsten H. Wolters, Robert Oostenveld, Maria Carla Piastra and D. van den Brink. 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.

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