Daniel Shepherd

3.7k total citations
125 papers, 2.6k citations indexed

About

Daniel Shepherd is a scholar working on Cognitive Neuroscience, Speech and Hearing and Clinical Psychology. According to data from OpenAlex, Daniel Shepherd has authored 125 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 35 papers in Speech and Hearing and 26 papers in Clinical Psychology. Recurrent topics in Daniel Shepherd's work include Noise Effects and Management (33 papers), Hearing Loss and Rehabilitation (23 papers) and Sensory Analysis and Statistical Methods (20 papers). Daniel Shepherd is often cited by papers focused on Noise Effects and Management (33 papers), Hearing Loss and Rehabilitation (23 papers) and Sensory Analysis and Statistical Methods (20 papers). Daniel Shepherd collaborates with scholars based in New Zealand, Australia and United Kingdom. Daniel Shepherd's co-authors include Jason Landon, Kim N. Dirks, Michael J. Hautus, David McBride, Christian U. Krägeloh, Sonja Goedeke, David Welch, Nazimah Hamid, Kevin Kantono and Oleg N. Medvedev and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daniel Shepherd

117 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Shepherd New Zealand 30 809 789 499 462 353 125 2.6k
Brigitta Danuser Switzerland 30 659 0.8× 137 0.2× 136 0.3× 487 1.1× 448 1.3× 114 2.9k
R. F. Soames Job Australia 26 1.0k 1.2× 1.5k 1.9× 137 0.3× 220 0.5× 395 1.1× 94 3.2k
Katherine A. Johnson Australia 39 1.8k 2.3× 153 0.2× 500 1.0× 379 0.8× 289 0.8× 130 4.2k
Lina Engelen Australia 29 94 0.1× 366 0.5× 146 0.3× 320 0.7× 464 1.3× 78 3.2k
Kjell Morten Stormark Norway 34 1.0k 1.3× 296 0.4× 1.3k 2.5× 1.3k 2.9× 495 1.4× 89 4.3k
Hege R. Eriksen Norway 45 487 0.6× 194 0.2× 892 1.8× 644 1.4× 1.2k 3.3× 124 7.2k
Phil Evans United Kingdom 30 289 0.4× 128 0.2× 748 1.5× 629 1.4× 688 1.9× 67 3.6k
Jackie Andrade United Kingdom 37 3.1k 3.8× 48 0.1× 1.5k 3.1× 2.0k 4.4× 892 2.5× 125 6.5k
Peter Hassmén Sweden 37 339 0.4× 388 0.5× 930 1.9× 460 1.0× 1.6k 4.5× 109 5.9k
Staffan Hygge Sweden 28 1.5k 1.9× 1.7k 2.2× 82 0.2× 351 0.8× 561 1.6× 62 3.0k

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-authorship network of co-authors of Daniel Shepherd

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Shepherd. A scholar is included among the top collaborators of Daniel Shepherd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Shepherd. Daniel Shepherd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McBride, David, et al.. (2026). New Zealand military Veterans’ perceptions on health and well-being: A qualitative study. Journal of Military Veteran and Family Health.
2.
Shepherd, Daniel, et al.. (2025). Tune Your Appetite: How Music Impacts Food Choice, Intake, and Emotions During a Meal. Food Frontiers. 6(3). 1423–1438.
3.
Shepherd, Daniel, et al.. (2024). Harmonising flavours: How arousing music and sound influence food perception and emotional responses. International Journal of Gastronomy and Food Science. 39. 101093–101093. 2 indexed citations
4.
Shepherd, Daniel, et al.. (2024). Using network analysis to identify factors influencing the heath-related quality of life of parents caring for an autistic child. Research in Developmental Disabilities. 152. 104808–104808. 3 indexed citations
5.
Welch, David, et al.. (2023). Health effects of transport noise. Transport Reviews. 43(6). 1190–1210. 33 indexed citations
6.
Lewis, Gwyn N., et al.. (2023). The autonomic and nociceptive response to acute experimental stress is impaired in people with knee osteoarthritis: A preliminary study. SHILAP Revista de lepidopterología. 14. 100144–100144. 1 indexed citations
7.
Hamid, Nazimah, et al.. (2022). Musical and Non-Musical Sounds Influence the Flavour Perception of Chocolate Ice Cream and Emotional Responses. Foods. 11(12). 1784–1784. 16 indexed citations
8.
McBride, David, Ari Samaranayaka, Amy Richardson, et al.. (2022). Factors associated with self-reported health among New Zealand military veterans: a cross-sectional study. BMJ Open. 12(5). e056916–e056916. 4 indexed citations
9.
Hautus, Michael J., et al.. (2021). Can binaural beats facilitate autonomic recovery following exposure to an acute stressor?. Complementary Therapies in Clinical Practice. 45. 101485–101485. 4 indexed citations
10.
Ding, Feng, Nazimah Hamid, Daniel Shepherd, & Kevin Kantono. (2019). How is Satiety Affected When Consuming Food While Working on A Computer?. Nutrients. 11(7). 1545–1545. 9 indexed citations
11.
Xu, Yun, Nazimah Hamid, Daniel Shepherd, Kevin Kantono, & Charles Spence. (2019). Changes in flavour, emotion, and electrophysiological measurements when consuming chocolate ice cream in different eating environments. Food Quality and Preference. 77. 191–205. 47 indexed citations
12.
Hamid, Nazimah, et al.. (2019). Environmental Sounds Influence the Multisensory Perception of Chocolate Gelati. Foods. 8(4). 124–124. 32 indexed citations
13.
Kantono, Kevin, et al.. (2018). Emotional and electrophysiological measures correlate to flavour perception in the presence of music. Physiology & Behavior. 199. 154–164. 77 indexed citations
14.
Kantono, Kevin, et al.. (2016). Listening to music can influence hedonic and sensory perceptions of gelati. Appetite. 100. 244–255. 78 indexed citations
15.
Keogh, Justin, et al.. (2013). Quantitative assessment of quality of life in New Zealand prostate cancer survivors: the effect of androgen deprivation therapy. Bond University Research Portal (Bond University). 1(2). 105–110. 3 indexed citations
16.
Lee, Jenny S.Y., Michael J. Hautus, & Daniel Shepherd. (2012). Neural Correlates of Noise Annoyance and Sensitivity. 25(4). 4–11. 4 indexed citations
17.
Krägeloh, Christian U., Paula Kersten, D. Rex Billington, et al.. (2012). Validation of the WHOQOL-BREF quality of life questionnaire for general use in New Zealand: confirmatory factor analysis and Rasch analysis. Quality of Life Research. 22(6). 1451–1457. 63 indexed citations
18.
Henning, Marcus A., et al.. (2011). Access to New Zealand Sign Language interpreters and quality of life for the deaf: a pilot study. Disability and Rehabilitation. 33(25-26). 2559–2566. 14 indexed citations
19.
Muller, Cécile & Daniel Shepherd. (2009). Attitudes towards reproductive technologies for humans. Kōtuitui New Zealand Journal of Social Sciences Online. 4(3). 225–238. 2 indexed citations
20.
Shepherd, Daniel. (2006). contra deficient child perception: a husserlian analysis. childhood & philosophy. 2(3). 115–125. 1 indexed citations

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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