David McAlpine

8.1k citations
117 papers · 5.4k indexed · 3 hit papers · h-index 34

David McAlpine

114 papers receiving 5.4k citations

Hit Papers

A survey on deep learning-based...1932010202620152020200400600

Peers

David McAlpine
Comparison fields: 5 of 123
  • Sensory Systems 2.9k
  • Developmental Biology 675
  • Cognitive Neuroscience 4.5k
  • Speech and Hearing 851
  • Neurology 639
Replace Philip X. Joris with:
Philip X. Joris Belgium
Eric D. Young United States
Dexter R. F. Irvine Australia
Tom C. T. Yin United States
Adrian Rees United Kingdom
Benedikt Grothe Germany
Laurel H. Carney United States
John F. Brugge United States
R. Klinke Germany
Murray B. Sachs United States
David McAlpine relative to Philip X. Joris Belgium Philip X. Joris's profile →
Citations per field
00.5×2.8×
Philip X. Joris · 1×
Citations per year

Countries citing papers authored by David McAlpine

Since Specialization
Citations

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

Fields of papers citing papers by David McAlpine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20245
5 20241
6 20230
7 202319
8 20223
9 20227
10 20219
11 20215
12 20212
13 20216
14 202012
15 201818
16 201727
17 20171
18
Sensitivity to envelope ITDs at high modulation rates
20132
19 2008152
20
Interaural delay sensitivity in the inferior colliculus is shaped by convergence from brainstem coincidence detectors
19971

About David McAlpine

David McAlpine is a scholar working on Sensory Systems, Cognitive Neuroscience, Speech and Hearing, Developmental Biology and Computational Mathematics, having authored 117 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (72 papers), Hearing, Cochlea, Tinnitus, Genetics (57 papers), Neural dynamics and brain function (34 papers), Neuroscience and Music Perception (24 papers), Noise Effects and Management (20 papers), Multisensory perception and integration (13 papers), Vestibular and auditory disorders (10 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Sensory Systems (2.9k citations), Developmental Biology (675 citations), Cognitive Neuroscience (4.5k citations), Speech and Hearing (851 citations) and Neurology (639 citations). David McAlpine has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Roland Schaette, Benedikt Grothe, Nicol S. Harper, Alan R. Palmer, Dan Jiang, Michael Pecka, Torsten Marquardt, Isabel Dean, Benjamin L. Robinson and Oliver Behrend. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Trends in Hearing, The Journal of the Acoustical Society of America and Hearing Research.

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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