Iván Fónagy

1.0k citations
44 papers · 510 · h-index 13

Impact in

Papers in

Iván Fónagy

39 papers receiving 406 citations

Peers

Iván Fónagy
Comparison fields: 5 of 57
  • Experimental and Cognitive Psychology 328
  • Linguistics and Language 75
  • Language and Linguistics 130
  • Developmental Biology 18
  • Signal Processing 73
Replace Jerold A. Edmondson with:
Jerold A. Edmondson United States
Norman N. Markel United States
John Bowden Australia
Reuven Tsur Israel
Harris Winitz United States
Madalena Cruz‐Ferreira Singapore
Wilma van Donselaar Netherlands
Marlys A. Macken United States
Mara Breen United States
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Iván Fónagy relative to Jerold A. Edmondson United States Jerold A. Edmondson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iván Fónagy

Since Specialization
Citations

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

Fields of papers citing papers by Iván Fónagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Iván Fónagy, 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 Iván Fónagy Line = papers co-authored together Iván Fónagy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196369
2 197849
3 196046
4 196141
5
Languages Within Language: An evolutive approach
200134
6 197831
7
Le français change de visage
198926
8
La Vive voix
198320
9 196620
10 200115
11
L'accent en français contemporain
198015
12 197215
13 197115
14 198210
15 195810
16
J'AIME D JE CONNAIS ? Verbes transitifs à objet latent
19859
17 19629
18 19768
19 19668
20 19656

About Iván Fónagy

Iván Fónagy is a scholar working on Philosophy, Language and Linguistics, Experimental and Cognitive Psychology, Linguistics and Language and Artificial Intelligence, having authored 44 papers that have together received 510 indexed citations. Recurring topics across this work include Linguistics and Discourse Analysis (14 papers), French Language Learning Methods (8 papers), Phonetics and Phonology Research (6 papers), Historical Linguistics and Language Studies (5 papers), Language, Metaphor, and Cognition (4 papers), Syntax, Semantics, Linguistic Variation (4 papers), Natural Language Processing Techniques (3 papers) and Linguistic and Sociocultural Studies (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (328 citations), Linguistics and Language (75 citations), Language and Linguistics (130 citations), Developmental Biology (18 citations) and Signal Processing (73 citations). Iván Fónagy has collaborated with scholars based in France, Hungary and United States. Frequent co-authors include Pierre Léon, Stephen C. Levinson, Mary Douglas, István Fodor, Munro S. Edmonson, J. David Sapir, William C. McCormack, J. Christopher Crocker and James W. Fernández. Their work appears in journals such as Phonetica, Lingua, Revue Romane Langue et littérature International Journal of Romance Languages and Literatures, Semiotica and Language and Speech.

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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