Sara Invitto

841 citations
35 papers · 530 · h-index 14

Impact in

Papers in

    • Olfactory and Sensory Function Studies 15
    • EEG and Brain-Computer Interfaces 4
    • Neuroscience and Music Perception 3
    • Tactile and Sensory Interactions 3

Sara Invitto

33 papers receiving 522 citations

Peers

Sara Invitto
Comparison fields: 5 of 82
  • Sensory Systems 108
  • Anesthesiology and Pain Medicine 64
  • Cognitive Neuroscience 135
  • Neurology 51
  • Psychiatry and Mental health 86
Replace Divya Bharatkumar Adhia with:
Divya Bharatkumar Adhia New Zealand
Michael Hauck Germany
Eleonora Vecchio Italy
Katia Ricci Italy
Carina Graversen Denmark
Marianna Delussi Italy
Leslie Sherlin United States
Sandra Kamping Germany
Yohei Tamura Japan
Rupert Hölzl Germany
Sara Invitto relative to Divya Bharatkumar Adhia New Zealand Divya Bharatkumar Adhia's profile →
Citations per field
00.5×6.7×
Divya Bharatkumar Adhia · 1×
Citations per year

Countries citing papers authored by Sara Invitto

Since Specialization
Citations

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

Fields of papers citing papers by Sara Invitto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201461
3 201952
4 201730
5 201829
6 202324
7 202223
8 201622
9 202222
10 201419
11 202017
12 201617
13 201816
14 201415
15 201913
16 201912
17 20219
18 20199
19 20198
20 20218

About Sara Invitto

Sara Invitto is a scholar working on Sensory Systems, Cognitive Neuroscience, Experimental and Cognitive Psychology, Biomedical Engineering and Nutrition and Dietetics, having authored 35 papers that have together received 530 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (15 papers), Advanced Chemical Sensor Technologies (7 papers), Multisensory perception and integration (6 papers), Biochemical Analysis and Sensing Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers), Migraine and Headache Studies (3 papers), Neuroscience and Music Perception (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Sensory Systems (108 citations), Anesthesiology and Pain Medicine (64 citations), Cognitive Neuroscience (135 citations), Neurology (51 citations) and Psychiatry and Mental health (86 citations). Sara Invitto has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Marina de Tommaso, Eleonora Vecchio, Marianna Delussi, Angelo Cangelosi, Paolo Livrea, Vittorio Sciruicchio, Katia Ricci, Stefan Lautenbacher, Laura Petrini and Miriam Kunz. Their work appears in journals such as Neurological Sciences, Frontiers in Behavioral Neuroscience, IEEE Consumer Electronics Magazine, Micro and Nano Engineering 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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