David Azul

18 papers receiving 362 citations

Peers

David Azul
Comparison fields: 5 of 50
  • Physiology 243
  • Music 32
  • Clinical Psychology 64
  • Human-Computer Interaction 17
  • Gender Studies 27
Replace Emilse Aparecida Merlin Servilha with:
Emilse Aparecida Merlin Servilha Brazil
Letícia Caldas Teixeira Brazil
Ines Pfeffer Germany
Irene Velsvik Bele Norway
Oliver Leis Germany
Peter Bickmann Germany
Mehdi Bakhtiar Hong Kong
Ismael Pedraza-Ramirez Germany
John R. Price United States
Wendell Johnson United States
David Azul relative to Emilse Aparecida Merlin Servilha Brazil Emilse Aparecida Merlin Servilha's profile →
Citations per field
00.5×2×4×5.7×
Emilse Aparecida Merlin Servilha · 1×
Citations per year

Countries citing papers authored by David Azul

Since Specialization
Citations

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

Fields of papers citing papers by David Azul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201461
2 201655
3 202042
4 201736
5 201634
6 202128
7 202222
8 202020
9 201917
10 201515
11 202215
12 201314
13 202013
14 20223
15 20133
16 20093
17 20112
18 20221
19 20110
20 20250

About David Azul

David Azul is a scholar working on Physiology, Music, Clinical Psychology, Language and Linguistics and Social Psychology, having authored 20 papers that have together received 384 indexed citations. Recurring topics across this work include Voice and Speech Disorders (12 papers), Music History and Culture (3 papers), Language, Discourse, Communication Strategies (2 papers), Artistic and Creative Research (2 papers), Interpreting and Communication in Healthcare (2 papers), Stuttering Research and Treatment (2 papers), Autism Spectrum Disorder Research (1 paper) and Linguistic Variation and Morphology (1 paper). The work is most often cited by research in Physiology (243 citations), Music (32 citations), Clinical Psychology (64 citations), Human-Computer Interaction (17 citations) and Gender Studies (27 citations). David Azul has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Christiane Neuschaefer‐Rube, Adrienne B. Hancock, Ulrika Nygren, Maria Södersten, Cecilia Dhejne, Tove Lundberg, Ruth McMenamin, Deborah Hersh, Jemma Skeat and Clare Carroll. Their work appears in journals such as International Journal of Speech-Language Pathology, Journal of Speech Language and Hearing Research, International Journal of Language & Communication Disorders, Journal of Voice and American Journal of Speech-Language Pathology.

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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