Danielle Glista

32 papers receiving 470 citations

Peers

Danielle Glista
Comparison fields: 5 of 59
  • Sensory Systems 97
  • Cognitive Neuroscience 350
  • Speech and Hearing 73
  • Signal Processing 72
  • Otorhinolaryngology 16
Replace Linsey W. Sunderhaus with:
Linsey W. Sunderhaus United States
Patrick Boyle United Kingdom
Martina Brendel Germany
Denise Keenan United States
Sarah J. Cook United States
Lina Motlagh Zadeh United States
Earl E. Johnson United States
Chi-Chuen Lau United States
Niels Søgaard Jensen Denmark
Jani Johnson United States
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Citations per year

Countries citing papers authored by Danielle Glista

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Glista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009124
2 201249
3 201335
4 201234
5 202129
6 201422
7 201221
8 201619
9 201217
10 202016
11 201215
12 202015
13 202113
14 201210
15 202010
16 20189
17 20238
18 20217
19 20195
20 20225

About Danielle Glista

Danielle Glista is a scholar working on Cognitive Neuroscience, Speech and Hearing, Clinical Psychology, Signal Processing and Sensory Systems, having authored 37 papers that have together received 485 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (17 papers), Noise Effects and Management (7 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Speech and Audio Processing (4 papers), Family and Disability Support Research (3 papers), Multisensory perception and integration (1 paper), Phonetics and Phonology Research (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Sensory Systems (97 citations), Cognitive Neuroscience (350 citations), Speech and Hearing (73 citations), Signal Processing (72 citations) and Otorhinolaryngology (16 citations). Danielle Glista has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Susan Scollie, Vijay Parsa, Marlene Bagatto, Richard C. Seewald, Andrew M. Johnson, Vijayalakshmi Easwar, Sheila Moodie, David W. Purcell, Andrea L. Dunn and Andrea Bohnert. Their work appears in journals such as American Journal of Audiology, International Journal of Audiology, Journal of the American Academy of Audiology, Disability and Rehabilitation and Journal of Speech Language and Hearing Research.

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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