Ann Masuda

1.0k citations
11 papers · 746 · h-index 10

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Hearing Loss and Rehabilitation
    • Neuroscience and Music Perception
    • Neural dynamics and brain function

Papers in

Ann Masuda

11 papers receiving 716 citations

Peers

Ann Masuda
Comparison fields: 5 of 62
  • Sensory Systems 390
  • Cognitive Neuroscience 584
  • Speech and Hearing 126
  • Neurology 95
  • Experimental and Cognitive Psychology 126
Replace Michael D. Waring with:
Michael D. Waring United States
Sara Giannantonio Italy
Geary A. McCandless United States
Don W. Worthington United States
Bradly J. Edgerton United States
Ellis Douek United Kingdom
Yukihiko Kanda Japan
John N. Gardi United States
John T. Jacobson United States
A.F. van Olphen Netherlands
Ann Masuda relative to Michael D. Waring United States Michael D. Waring's profile →
Citations per field
00.5×1.5×2.2×
Michael D. Waring · 1×
Citations per year

Countries citing papers authored by Ann Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Ann Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1996180
2 1996141
3 1993119
4 199467
5
Successful detection of small acoustic tumors using the stacked derived-band auditory brain stem response amplitude.
199759
6 200451
7 200547
8 200539
9 199330
10 19969
11 19904

About Ann Masuda

Ann Masuda is a scholar working on Cognitive Neuroscience, Speech and Hearing, Experimental and Cognitive Psychology, Sensory Systems and Civil and Structural Engineering, having authored 11 papers that have together received 746 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (10 papers), Noise Effects and Management (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Neuroscience and Music Perception (3 papers), Multisensory perception and integration (3 papers), Hearing Impairment and Communication (1 paper), Meningioma and schwannoma management (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Sensory Systems (390 citations), Cognitive Neuroscience (584 citations), Speech and Hearing (126 citations), Neurology (95 citations) and Experimental and Cognitive Psychology (126 citations). Ann Masuda has collaborated with scholars based in United States and Canada. Frequent co-authors include Curtis W. Ponton, Manuel Don, Jos J. Eggermont, Michael D. Waring, Betty Kwong, Laurel M. Fisher, R C Nelson, Derald E. Brackmann, Zarina Iqbal and William H. Slattery. Their work appears in journals such as Otology & Neurotology, The Journal of the Acoustical Society of America, Ear and Hearing, Neuroreport and Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section.

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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