Caitlin Barr

29 papers receiving 321 citations

Peers

Caitlin Barr
Comparison fields: 5 of 41
  • Cognitive Neuroscience 178
  • Speech and Hearing 54
  • Sensory Systems 28
  • Developmental and Educational Psychology 27
  • Otorhinolaryngology 7
Replace Ivette Cejas with:
Ivette Cejas United States
Jessica Whitfield Australia
Betty Loy United States
Dawn Choo Australia
Ioanis Gianopoulos United Kingdom
Susan F. Erler United States
Lauri H. Nelson United States
Thorsten Bürger Germany
Krishna Yerraguntla India
Jackie L. Clark United States
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Citations per field
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Citations per year

Countries citing papers authored by Caitlin Barr

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201837
2 201728
3 201725
4 202024
5 202023
6 201720
7 201719
8 202019
9 202016
10 201715
11 202013
12 202212
13 201711
14 201911
15 20209
16 20189
17 20227
18 20206
19 20215
20 20225

About Caitlin Barr

Caitlin Barr is a scholar working on Cognitive Neuroscience, Speech and Hearing, Developmental and Educational Psychology, General Health Professions and Sociology and Political Science, having authored 30 papers that have together received 333 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (18 papers), Noise Effects and Management (6 papers), Hearing Impairment and Communication (6 papers), Patient Satisfaction in Healthcare (3 papers), Vestibular and auditory disorders (3 papers), Delphi Technique in Research (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Cognitive Neuroscience (178 citations), Speech and Hearing (54 citations), Sensory Systems (28 citations), Developmental and Educational Psychology (27 citations) and Otorhinolaryngology (7 citations). Caitlin Barr has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include Rebecca J. Bennett, Louise Hickson, Carly Meyer, Katie Ekberg, Robyn Woodward‐Kron, Alessia Paglialonga, Ariane Laplante-Lévesque, Christina Bryant, Robert H. Eikelboom and Asaduzzaman Khan. Their work appears in journals such as International Journal of Audiology, American Journal of Audiology, Ear and Hearing, Public Health Research & Practice and BMC Family Practice.

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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