Daniela Gil

75 papers receiving 423 citations

Peers

Daniela Gil
Comparison fields: 5 of 69
  • Sensory Systems 112
  • Cognitive Neuroscience 244
  • Speech and Hearing 74
  • Otorhinolaryngology 31
  • Developmental and Educational Psychology 57
Replace Maria Nicastri with:
Maria Nicastri Italy
Bellur Rajashekhar India
Rohit Ravi India
Dhanshree Rajesh Gunjawate India
Diana C. Emanuel United States
Sanna Hou Australia
Jose Barajas United States
Andrea S. Kelly New Zealand
Deborah W. Moncrieff United States
Melissa Teahen Frederick United States
Daniela Gil relative to Maria Nicastri Italy Maria Nicastri's profile →
Citations per field
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Maria Nicastri · 1×
Citations per year

Countries citing papers authored by Daniela Gil

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201038
2 201619
3 201216
4 201115
5 200713
6 201513
7 201813
8 200812
9 201012
10 201012
11 200812
12 201511
13 201511
14 202011
15 201410
16 201310
17
Efeito do treinamento auditivo para percepçäo musical nos testes de padräo de frequência e duraçäo
200010
18 20138
19 20088
20 20147

About Daniela Gil

Daniela Gil is a scholar working on Sensory Systems, Cognitive Neuroscience, Speech and Hearing, Otorhinolaryngology and Developmental and Educational Psychology, having authored 84 papers that have together received 438 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (47 papers), Hearing, Cochlea, Tinnitus, Genetics (28 papers), Noise Effects and Management (15 papers), Hearing Impairment and Communication (9 papers), Ear Surgery and Otitis Media (8 papers), Traumatic Brain Injury Research (8 papers), Vestibular and auditory disorders (4 papers) and Multisensory perception and integration (4 papers). The work is most often cited by research in Sensory Systems (112 citations), Cognitive Neuroscience (244 citations), Speech and Hearing (74 citations), Otorhinolaryngology (31 citations) and Developmental and Educational Psychology (57 citations). Daniela Gil has collaborated with scholars based in Brazil, Poland and Belgium. Frequent co-authors include Maria Cecília Martinelli Iório, Marisa Frasson de Azevedo, Liliane Desgualdo Pereira, Michele Vargas Garcia, Ana Maria Sá Martins, José Ricardo Gurgel Testa, Carla Gentile Matas, Ektor Tsuneo Onishi, Fernando Freitas Ganança and Piotr Henryk Skarzynski. Their work appears in journals such as CoDAS, Life, Brain and Behavior, Pediatric Blood & Cancer and International Journal of Pediatric Otorhinolaryngology.

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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