Kay Head

822 citations
17 papers · 577 · h-index 12

Impact in

    • Olfactory and Sensory Function Studies
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies

Papers in

Kay Head

17 papers receiving 566 citations

Peers

Kay Head
Comparison fields: 5 of 83
  • Sensory Systems 96
  • Cognitive Neuroscience 303
  • Radiology, Nuclear Medicine and Imaging 197
  • Nutrition and Dietetics 82
  • Experimental and Cognitive Psychology 66
Replace Kazunori Satoh with:
Kazunori Satoh Japan
María Luisa Delgado‐Losada Spain
M Thévenet France
Yoshinobu Iguchi Japan
Sofya Kulikova Russia
Christie A. Biggins United States
Ivan de Araújo United Kingdom
Veronika Schoepf Germany
Alexandre Comte France
Michael J. Tobia United States
Kay Head relative to Kazunori Satoh Japan Kazunori Satoh's profile →
Citations per field
00.5×7.5×
Kazunori Satoh · 1×
Citations per year

Countries citing papers authored by Kay Head

Since Specialization
Citations

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

Fields of papers citing papers by Kay Head

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2009209
2 200656
3 200754
4 201149
5 200339
6 201031
7 201026
8 201121
9 201119
10 200718
11 200815
12 200914
13 20079
14 20107
15 20116
16 20123
17 20111

About Kay Head

Kay Head is a scholar working on Cognitive Neuroscience, Sensory Systems, Nutrition and Dietetics, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology, having authored 17 papers that have together received 577 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (5 papers), Olfactory and Sensory Function Studies (5 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Multisensory perception and integration (2 papers), Textile materials and evaluations (2 papers), Memory Processes and Influences (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Sensory Systems (96 citations), Cognitive Neuroscience (303 citations), Radiology, Nuclear Medicine and Imaging (197 citations), Nutrition and Dietetics (82 citations) and Experimental and Cognitive Psychology (66 citations). Kay Head has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Susan Francis, Penny Gowland, Richard Bowtell, Wietske van der Zwaag, Peter G. Morris, Andrew Peters, Luca Marciani, Robert E. Spiller, Guillermo Campitelli and Fernand Gobet. Their work appears in journals such as NeuroImage, Composites Part A Applied Science and Manufacturing, Magnetic Resonance Materials in Physics Biology and Medicine, Clinical Neurophysiology and Journal of Neurophysiology.

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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