Daniel Recasens

98 papers receiving 1.8k citations

Peers

Daniel Recasens
Comparison fields: 5 of 48
  • Linguistics and Language 1.3k
  • Experimental and Cognitive Psychology 1.9k
  • Language and Linguistics 567
  • Artificial Intelligence 1.0k
  • Signal Processing 244
Replace Taehong Cho with:
Taehong Cho South Korea
Cécile Fougeron France
Francis Nolan United Kingdom
Patrice Speeter Beddor United States
James M. Scobbie United Kingdom
Susan G. Guion United States
Ineke Mennen United Kingdom
Esther Grabe United Kingdom
Lisa Davidson United States
Philip Hoole Germany
Daniel Recasens relative to Taehong Cho South Korea Taehong Cho's profile →
Citations per field
00.5×1.5×
Taehong Cho · 1×
Citations per year

Countries citing papers authored by Daniel Recasens

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Recasens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Recasens, 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 Daniel Recasens Line = papers co-authored together Daniel Recasens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997163
2 200991
3 198482
4 198578
5 200575
6 198771
7 199967
8 201167
9 199163
10 199959
11 200557
12 198952
13 200151
14 198447
15 199047
16 200446
17 200244
18 201642
19 199440
20 200540

About Daniel Recasens

Daniel Recasens is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language, Language and Linguistics and Signal Processing, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (95 papers), Linguistic Variation and Morphology (60 papers), Speech Recognition and Synthesis (46 papers), Spanish Linguistics and Language Studies (16 papers), Syntax, Semantics, Linguistic Variation (15 papers), Linguistic Studies and Language Acquisition (13 papers), Speech and dialogue systems (8 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Linguistics and Language (1.3k citations), Experimental and Cognitive Psychology (1.9k citations), Language and Linguistics (567 citations), Artificial Intelligence (1.0k citations) and Signal Processing (244 citations). Daniel Recasens has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ana Espinosa, Maria Dolors Pallarès, Jordi Fontdevila, Edda Farnetani, Sharon Y. Manuel, William J. Hardcastle, Mary E. Beckman, Janet Fletcher, Fiona Gibbon and Maureen Stone. Their work appears in journals such as Journal of Phonetics, The Journal of the Acoustical Society of America, Phonetica, Journal of the International Phonetic Association and Speech Communication.

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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