Scott Love

713 citations
28 papers · 458 · h-index 12

Impact in

    • Olfactory and Sensory Function Studies
    • Neuroscience and Music Perception
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Face Recognition and Perception
    • Functional Brain Connectivity Studies

Papers in

Scott Love

26 papers receiving 452 citations

Peers

Scott Love
Comparison fields: 5 of 71
  • Sensory Systems 83
  • Cognitive Neuroscience 312
  • Experimental and Cognitive Psychology 188
  • Developmental Biology 14
  • Social Psychology 126
Replace Antoine Barbot with:
Antoine Barbot United States
Xiaomin Yue United States
Pia Rämä France
Michela Adriani Switzerland
Annemarie Seither‐Preisler Germany
Frances Crabbe United Kingdom
Chai-Youn Kim South Korea
David Pascucci Switzerland
Catherine M. Warrier United States
Stefanie Schelinski Germany
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Citations per field
00.5×3.5×
Antoine Barbot · 1×
Citations per year

Countries citing papers authored by Scott Love

Since Specialization
Citations

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

Fields of papers citing papers by Scott Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201160
3 201343
4 201743
5 201538
6 201635
7 201634
8 201122
9 201718
10 201817
11 201317
12 201914
13 20208
14 20224
15 20233
16 20223
17 20223
18 20223
19 20143
20 20242

About Scott Love

Scott Love is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Sensory Systems and Small Animals, having authored 28 papers that have together received 458 indexed citations. Recurring topics across this work include Multisensory perception and integration (10 papers), Olfactory and Sensory Function Studies (7 papers), Animal Behavior and Welfare Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Animal Vocal Communication and Behavior (4 papers), Visual perception and processing mechanisms (4 papers), Color perception and design (3 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Sensory Systems (83 citations), Cognitive Neuroscience (312 citations), Experimental and Cognitive Psychology (188 citations), Developmental Biology (14 citations) and Social Psychology (126 citations). Scott Love has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Frank Pollick, Karin Petrini, Marianne Latinus, Phil McAleer, Aina Puce, Muriel Roth, Bruno Nazarian, Damien Marié, Adrien Meguerditchian and Gordon Morison. Their work appears in journals such as PLoS ONE, Brain Structure and Function, NeuroImage, Journal of Vision and Social Cognitive and Affective Neuroscience.

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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