Daniel T. Ling

1.8k citations
52 papers · 1.3k · h-index 17

Impact in

Papers in

Daniel T. Ling

50 papers receiving 1.1k citations

Peers

Daniel T. Ling
Comparison fields: 5 of 123
  • Developmental and Educational Psychology 398
  • Cognitive Neuroscience 474
  • Human-Computer Interaction 116
  • Sensory Systems 77
  • Experimental and Cognitive Psychology 204
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Citations per field
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Citations per year

Countries citing papers authored by Daniel T. Ling

Since Specialization
Citations

This map shows the geographic impact of Daniel T. 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 T. 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 T. Ling more than expected).

Fields of papers citing papers by Daniel T. Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Speech and the Hearing-Impaired Child: Theory and Practice
1976238
2
The Mechanisms of Perception
1969152
3 1978139
4 1990111
5 200578
6 199263
7 199256
8
Deafness in the family
198737
9 197133
10 199532
11 197029
12 198428
13 199127
14 197426
15
Aural Habilitation: The Foundations of Verbal Learning in Hearing-Impaired Children
197826
16 199221
17 201317
18
Early intervention for hearing-impaired children : oral options
198416
19
The Effects of Using Cued Speech: A Follow-Up Study.
197616
20 197215

About Daniel T. Ling

Daniel T. Ling is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Pharmacy, Speech and Hearing and Experimental and Cognitive Psychology, having authored 52 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), Language Development and Disorders (3 papers), Noise Effects and Management (3 papers), Robotics and Automated Systems (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Developmental and Educational Psychology (398 citations), Cognitive Neuroscience (474 citations), Human-Computer Interaction (116 citations), Sensory Systems (77 citations) and Experimental and Cognitive Psychology (204 citations). Daniel T. Ling has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Donald G. Doehring, Robert J. Gorlin, F. Clarke Fraser, David M. Luterman, David Kurlander, Christopher F. Codella, David T. MacLaughlin, David B. Seifer, L Harborne and Naveed A. Sattar. Their work appears in journals such as The Volta Review, Ear and Hearing, The Journal of Laryngology & Otology, Language and Speech and Journal of Communication Disorders.

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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