Mel Brown

722 citations
24 papers · 585 · h-index 13

Impact in

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

Papers in

Mel Brown

24 papers receiving 557 citations

Peers

Mel Brown
Comparison fields: 5 of 55
  • Sensory Systems 326
  • Cognitive Neuroscience 472
  • Developmental Biology 42
  • Speech and Hearing 61
  • Neurology 61
Replace Patricia M. Backoff with:
Patricia M. Backoff United States
Jennifer E. Mossop United Kingdom
Susanne Dehmel Germany
Natalia Rybalko Czechia
Jennifer Resnik Israel
Peggy Shadduck Palombi United States
Glenn R. Farley United States
Flora M. Antunes Spain
Cynthia A. Prosen United States
Lucy A. Anderson United Kingdom
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Citations per field
00.5×2.7×
Patricia M. Backoff · 1×
Citations per year

Countries citing papers authored by Mel Brown

Since Specialization
Citations

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

Fields of papers citing papers by Mel Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004114
2 200364
3 200753
4 200750
5 200144
6 200541
7 199231
8 198530
9 199729
10 198424
11 200517
12 199714
13 200912
14 199711
15 198511
16 19979
17 20096
18
Monitoring the electrically evoked compound action potential by means of a new telemetry system.
19956
19 20085
20 19974

About Mel Brown

Mel Brown is a scholar working on Cognitive Neuroscience, Sensory Systems, Cellular and Molecular Neuroscience, Molecular Biology and Experimental and Cognitive Psychology, having authored 24 papers that have together received 585 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (16 papers), Hearing Loss and Rehabilitation (11 papers), Neural dynamics and brain function (10 papers), Multisensory perception and integration (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Vestibular and auditory disorders (2 papers), Analytical Chemistry and Sensors (1 paper) and Marine animal studies overview (1 paper). The work is most often cited by research in Sensory Systems (326 citations), Cognitive Neuroscience (472 citations), Developmental Biology (42 citations), Speech and Hearing (61 citations) and Neurology (61 citations). Mel Brown has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Dexter R. F. Irvine, Marc R. Kamke, Russell L. Martin, Peter Heil, Heinrich Neubauer, William R. Webster, Ramesh Rajan, Robert K. Shepherd, J. Servière and Graeme M. Clark. Their work appears in journals such as Hearing Research, Journal of Neuroscience, Audiology and Neurotology, NeuroImage and The Journal of Comparative Neurology.

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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