India Morrison

3.1k citations
20 papers · 2.1k · 1 hit paper · h-index 14

Impact in

Papers in

India Morrison

17 papers receiving 2.1k citations

India Morrison's Hit Papers

Coding of pleasant touch by unmyelinated afferents in humans 2009 · 755 citations
7550+5+11Years since publication250500750

Peers

India Morrison
Comparison fields: 5 of 110
  • Cognitive Neuroscience 1.2k
  • Experimental and Cognitive Psychology 619
  • Sensory Systems 179
  • Social Psychology 758
  • Human-Computer Interaction 186
Replace Line S. Löken with:
Line S. Löken Sweden
Rochelle Ackerley France
India Morrison Sweden
Susannah C. Walker United Kingdom
Malin Björnsdotter Sweden
Shirley Fecteau Canada
Diane L. Filion United States
Henrique Sequeira France
Johanna M.P. Baas Netherlands
Helena Backlund Wasling Sweden
India Morrison relative to Line S. Löken Sweden Line S. Löken's profile →
Citations per field
00.5×1.5×
Line S. Löken · 1×
Citations per year

Countries citing papers authored by India Morrison

Since Specialization
Citations

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

Fields of papers citing papers by India Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Coding of pleasant touch by unmyelinated afferents in humans
Hit paper breakdown →
2009755
2 2008409
3 2010160
4 2011137
5 2005125
6 2016123
7 201680
8 201361
9 201256
10 201353
11 201353
12 201841
13 201740
14 201222
15 201613
16 20193
17 20192
18 20250
19 20250
20 20040

About India Morrison

India Morrison is a scholar working on Cognitive Neuroscience, Social Psychology, Physiology, Neurology and Experimental and Cognitive Psychology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (8 papers), Pain Mechanisms and Treatments (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Action Observation and Synchronization (5 papers), Multisensory perception and integration (4 papers), Psychosomatic Disorders and Their Treatments (4 papers), Virtual Reality Applications and Impacts (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Experimental and Cognitive Psychology (619 citations), Sensory Systems (179 citations), Social Psychology (758 citations) and Human-Computer Interaction (186 citations). India Morrison has collaborated with scholars based in Sweden, United Kingdom and Norway. Frequent co-authors include Håkan Olausson, Francis McGlone, Johan Wessberg, Line S. Löken, Å. B. Vallbo, Malin Björnsdotter, Irene Perini, Donna M. Lloyd, Neil Roberts and Jan Minde. Their work appears in journals such as Biological Psychology, Journal of Neurophysiology, Journal of Visualized Experiments, Current Biology and Pain.

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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