Daniel Shepherd

121 papers receiving 2.8k citations

Peers

Daniel Shepherd
Comparison fields: 5 of 153
  • Speech and Hearing 793
  • Sensory Systems 299
  • Cognitive Neuroscience 712
  • Experimental and Cognitive Psychology 468
  • Clinical Psychology 469
Replace Katherine Abowd Johnson with:
Katherine Abowd Johnson Australia
Kjell Morten Stormark Norway
Lina Engelen Australia
Rocco A. Paluch United States
R. F. Soames Job Australia
Brigitta Danuser Switzerland
Michelle Ellen Kelly Ireland
Barbara A. Morrongiello Canada
Peter Hassmén Sweden
Staffan Hygge Sweden
Daniel Shepherd relative to Katherine Abowd Johnson Australia Katherine Abowd Johnson's profile →
Citations per field
00.5×2×4×5.9×
Katherine Abowd Johnson · 1×
Citations per year

Countries citing papers authored by Daniel Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015201
2 2010142
3 2011130
4 201388
5 200585
6 201883
7 201683
8 201580
9 201871
10 201171
11 201370
12 201266
13 201164
14 201663
15 201063
16 201561
17 200953
18 201951
19 201950
20 202045

About Daniel Shepherd

Daniel Shepherd is a scholar working on Speech and Hearing, Cognitive Neuroscience, Sensory Systems, Experimental and Cognitive Psychology and Clinical Psychology, having authored 127 papers that have together received 2.9k indexed citations. Recurring topics across this work include Noise Effects and Management (34 papers), Sensory Analysis and Statistical Methods (20 papers), Hearing Loss and Rehabilitation (20 papers), Multisensory perception and integration (18 papers), Biochemical Analysis and Sensing Techniques (16 papers), Family and Disability Support Research (16 papers), Olfactory and Sensory Function Studies (15 papers) and Autism Spectrum Disorder Research (12 papers). The work is most often cited by research in Speech and Hearing (793 citations), Sensory Systems (299 citations), Cognitive Neuroscience (712 citations), Experimental and Cognitive Psychology (468 citations) and Clinical Psychology (469 citations). Daniel Shepherd has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Jason Landon, Kim N. Dirks, Michael J. Hautus, Christian U. Krägeloh, David I. McBride, Sonja Goedeke, David F. Welch, Nazimah Sheikh Abdul Hamid, Kevin Kantono and Oleg N. Medvedev. Their work appears in journals such as Journal of Autism and Developmental Disorders, Food Quality and Preference, International Journal of Environmental Research and Public Health, Noise and Health and Food Research International.

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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