David M. Gooler

11 papers receiving 455 citations

Peers

David M. Gooler
Comparison fields: 5 of 50
  • Developmental Biology 191
  • Sensory Systems 146
  • Cognitive Neuroscience 232
  • Ecology, Evolution, Behavior and Systematics 191
  • Speech and Hearing 24
Replace Mary E. Hutchings with:
Mary E. Hutchings United Kingdom
Anne J. M. Moffat United States
Melissa L. Caras United States
Go Ashida Germany
M. K�ssl Germany
G. J. Dörrscheidt Germany
J.D. Pettigrew Australia
Kazuo Imaizumi United States
Douglas B. Quine United States
R. R�bsamen Germany
David M. Gooler relative to Mary E. Hutchings United Kingdom Mary E. Hutchings's profile →
Citations per field
00.5×3.5×
Mary E. Hutchings · 1×
Citations per year

Countries citing papers authored by David M. Gooler

Since Specialization
Citations

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

Fields of papers citing papers by David M. Gooler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside David M. Gooler, 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 M. Gooler Line = papers co-authored together David M. Gooler links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1992143
2 1990121
3 198739
4 200937
5 198927
6 200823
7 199323
8 199619
9 199416
10 199613
11 20118

About David M. Gooler

David M. Gooler is a scholar working on Cognitive Neuroscience, Sensory Systems, Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 11 papers that have together received 469 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Animal Vocal Communication and Behavior (5 papers), Neural dynamics and brain function (4 papers), Marine animal studies overview (3 papers), Bat Biology and Ecology Studies (3 papers), Hearing Loss and Rehabilitation (3 papers), Vestibular and auditory disorders (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Developmental Biology (191 citations), Sensory Systems (146 citations), Cognitive Neuroscience (232 citations), Ecology, Evolution, Behavior and Systematics (191 citations) and Speech and Hearing (24 citations). David M. Gooler has collaborated with scholars based in United States. Frequent co-authors include A. S. Feng, J. Camille Hall, Jinghua Xu, Yang-Soo Yoon, Jont B. Allen, Robert D. Frisina, Sandeep A. Phatak, Ayako Yamaguchi, Winnie W. Pong and Shailja Patel. Their work appears in journals such as Journal of Neurophysiology, Journal of Comparative Physiology A, The Journal of the Acoustical Society of America, Progress in Neurobiology and Journal of Speech Language 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.

Explore authors with similar magnitude of impact