Sasha Brown

1.8k citations
9 papers · 161 · h-index 4

Impact in

Papers in

Sasha Brown

7 papers receiving 158 citations

Peers

Sasha Brown
Comparison fields: 5 of 32
  • Sensory Systems 44
  • Speech and Hearing 57
  • Cognitive Neuroscience 137
  • Experimental and Cognitive Psychology 29
  • Signal Processing 15
Replace Junghwa Bahng with:
Junghwa Bahng South Korea
Christin Ray United States
Bart Vaerenberg Belgium
Charlotte Vercammen Belgium
Chelsea M. Blankenship United States
Emily R. Spitzer United States
Beier Qi China
Hanin Karawani Israel
Noel Dwyer United States
Allison Biever United States
Sasha Brown relative to Junghwa Bahng South Korea Junghwa Bahng's profile →
Citations per field
00.5×1.5×
Junghwa Bahng · 1×
Citations per year

Countries citing papers authored by Sasha Brown

Since Specialization
Citations

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

Fields of papers citing papers by Sasha Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Sasha Brown, 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 Sasha Brown Line = papers co-authored together Sasha Brown links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2006142
2 20235
3 20095
4 20194
5
CSA Z107.6 Audiometric Testing for use in Hearing Loss Prevention Programs: A new title for a new edition
20162
6 20232
7 20191
8
Changes in the Prevalence and Characteristics of Hearing Loss in a Noise-Exposed Population Between 1980 and 2015
20210
9 20230

About Sasha Brown

Sasha Brown is a scholar working on Sociology and Political Science, Cognitive Neuroscience, Speech and Hearing, Sensory Systems and Geography, Planning and Development, having authored 9 papers that have together received 161 indexed citations. Recurring topics across this work include Noise Effects and Management (3 papers), Hearing Loss and Rehabilitation (3 papers), Migration, Refugees, and Integration (2 papers), Geography Education and Pedagogy (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Educator Training and Historical Pedagogy (1 paper), Climate Change, Adaptation, Migration (1 paper) and Geographic Information Systems Studies (1 paper). The work is most often cited by research in Sensory Systems (44 citations), Speech and Hearing (57 citations), Cognitive Neuroscience (137 citations), Experimental and Cognitive Psychology (29 citations) and Signal Processing (15 citations). Sasha Brown has collaborated with scholars based in Ireland, Canada and United States. Frequent co-authors include M. Kathleen Pichora‐Fuller, Ewen MacDonald, Bruce A. Schneider, Mary Gilmartin, Michael Sharpe, Christian Giguère, Ellen Stephenson, Patricia Cleary, Alison K. Brody and Lorienne M. Jenstad. Their work appears in journals such as Remote Sensing, International Research in Geographical and Environmental Education, Hearing Research, Environment and Planning C Politics and Space and Social & Cultural Geography.

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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