M. Don

1.6k citations
22 papers · 1.3k indexed · h-index 15

M. Don

22 papers receiving 1.2k citations

Peers

M. Don
Comparison fields: 5 of 81
  • Sensory Systems 717
  • Cognitive Neuroscience 1.0k
  • Speech and Hearing 280
  • Neurology 200
  • Developmental Biology 47
Replace Miriam Furst with:
Miriam Furst Israel
Stanley A. Gelfand United States
Gordon Flottorp Norway
Otávio Gomes Lins Brazil
Eric Javel United States
George Moushegian United States
M. J. Penner United States
Jacek Smurzyński United States
D. C. Teas United States
A. R. D. Thornton United Kingdom
M. Don relative to Miriam Furst Israel Miriam Furst's profile →
Citations per field
00.5×3.8×
Miriam Furst · 1×
Citations per year

Countries citing papers authored by M. Don

Since Specialization
Citations

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

Fields of papers citing papers by M. Don

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside M. Don, 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 M. Don Line = papers co-authored together M. Don links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20207
2 2000113
3
Functional MRI of Lipreading in Normal Hearing and Deaf Subjects
20002
4 199727
5 199217
6 1991141
7 198715
8 198781
9 198642
10 1984193
11 198483
12 198422
13 198220
14 19802
15 1980104
16 1980103
17 1978281
18 19751
19 197210
20 197216

About M. Don

M. Don is a scholar working on Sensory Systems, Developmental Biology, Cognitive Neuroscience, Speech and Hearing and Automotive Engineering, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (12 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers), Structural Health Monitoring Techniques (4 papers), Neural dynamics and brain function (4 papers), Vehicle Noise and Vibration Control (3 papers), Neuroscience and Music Perception (3 papers), Speech and Audio Processing (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Sensory Systems (717 citations), Cognitive Neuroscience (1.0k citations), Speech and Hearing (280 citations), Neurology (200 citations) and Developmental Biology (47 citations). M. Don has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include J. J. Eggermont, C. Elberling, Michael D. Waring, Derald E. Brackmann, Curtis W. Ponton, Betty Kwong, Robert V. Shannon, A. Starr, William M. Luxford and Jenna Cunningham. Their work appears in journals such as The Journal of the Acoustical Society of America, Scandinavian Audiology, International Journal of Audiology, Journal of Neurophysiology and Annals of the New York Academy of Sciences.

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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