Massimo Grassi

2.0k citations
67 papers · 1.4k · h-index 22

Impact in

Papers in

    • Neuroscience and Music Perception 26
    • Hearing Loss and Rehabilitation 14
    • Visual perception and processing mechanisms 10
    • Tactile and Sensory Interactions 8
    • Neural and Behavioral Psychology Studies 6
    • Multisensory perception and integration 23

Massimo Grassi

63 papers receiving 1.3k citations

Peers

Massimo Grassi
Comparison fields: 5 of 115
  • Cognitive Neuroscience 980
  • Experimental and Cognitive Psychology 590
  • Music 152
  • Sensory Systems 99
  • Developmental Biology 41
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Citations per field
00.5×6.8×
Jessica M. Foxton · 1×
Citations per year

Countries citing papers authored by Massimo Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 2009110
3 200591
4 201664
5 201463
6 201657
7 200949
8 200449
9 201248
10 200646
11 201045
12 201041
13 201738
14 201537
15 201336
16 201631
17 201530
18 201327
19 201227
20 201726

About Massimo Grassi

Massimo Grassi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Signal Processing and Statistics and Probability, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (26 papers), Multisensory perception and integration (23 papers), Hearing Loss and Rehabilitation (14 papers), Visual perception and processing mechanisms (10 papers), Tactile and Sensory Interactions (8 papers), Neural and Behavioral Psychology Studies (6 papers), Color perception and design (5 papers) and Cognitive and developmental aspects of mathematical skills (5 papers). The work is most often cited by research in Cognitive Neuroscience (980 citations), Experimental and Cognitive Psychology (590 citations), Music (152 citations), Sensory Systems (99 citations) and Developmental Biology (41 citations). Massimo Grassi has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Alessandro Soranzo, Clara Casco, Francesca Talamini, Barbara Carretti, Paola Bressan, Gianmarco Altoè, Erika Borella, Christopher J. Darwin, Elena Nava and Enrico Toffalini. Their work appears in journals such as Psychological Research, Attention Perception & Psychophysics, Frontiers in Psychology, PLoS ONE and Behavior Research Methods.

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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