Daniel Ling

49 papers receiving 1.1k citations

Peers

Daniel Ling
Comparison fields: 5 of 124
  • Developmental and Educational Psychology 404
  • Cognitive Neuroscience 480
  • Human-Computer Interaction 116
  • Sensory Systems 78
  • Experimental and Cognitive Psychology 207
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Göte Nyman Finland
John H. Flowers United States
P. Denes United Kingdom
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Stanley R. Parkinson United States
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Citations per year

Countries citing papers authored by Daniel Ling

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Speech and the Hearing-Impaired Child: Theory and Practice
1976242
2
The Mechanisms of Perception
1969152
3 1978137
4 1990114
5 200577
6 199264
7 199257
8
Deafness in the family
198739
9 197133
10 199532
11 197029
12 198428
13 199127
14
Aural Habilitation: The Foundations of Verbal Learning in Hearing-Impaired Children
197827
15 197426
16 199221
17 201317
18 197616
19
Early intervention for hearing-impaired children : oral options
198416
20 197215

About Daniel Ling

Daniel Ling is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Pharmacy and Control and Systems Engineering, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hearing Impairment and Communication (10 papers), Hearing Loss and Rehabilitation (8 papers), Infant Health and Development (5 papers), Noise Effects and Management (3 papers), Language Development and Disorders (3 papers), Data Visualization and Analytics (2 papers), Phonetics and Phonology Research (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Developmental and Educational Psychology (404 citations), Cognitive Neuroscience (480 citations), Human-Computer Interaction (116 citations), Sensory Systems (78 citations) and Experimental and Cognitive Psychology (207 citations). Daniel Ling has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Donald G. Doehring, F. Clarke Fraser, Robert J. Gorlin, David Luterman, David Kurlander, C.F. Codella, David B. Seifer, Richard Fleming, David T. MacLaughlin and Jane E. Norman. Their work appears in journals such as The Volta Review, Ear and Hearing, The Journal of Laryngology & Otology, Canadian Family Physician and IBM Journal of Research and Development.

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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