Massimo Lumaca
Impact in
- Developmental Biology top 10%
- Animal Vocal Communication and Behavior
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Music Perception 13
- Neural dynamics and brain function 11
- Functional Brain Connectivity Studies 4
- Hearing Loss and Rehabilitation 2
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- Music and Audio Processing 4
- Co-authors
- Giosuè Baggio (9 shared papers)Peter Vuust (12 shared papers)Elvira Brattico (7 shared papers)Niels Trusbak Haumann (3 shared papers)Manon Grube (2 shared papers)Andrea Ravignani (5 shared papers)Leonardo Restivo (1 shared paper)Massimiliano Aceti (1 shared paper)
In The Last Decade
Massimo Lumaca
19 papers receiving 247 citations
Peers
Comparison fields: 5 of 49
- Developmental Biology 31
- Cognitive Neuroscience 195
- Signal Processing 53
- Music 13
- Experimental and Cognitive Psychology 54
Countries citing papers authored by Massimo Lumaca
This map shows the geographic impact of Massimo Lumaca'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 Lumaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Lumaca more than expected).
Fields of papers citing papers by Massimo Lumaca
This network shows the impact of papers produced by Massimo Lumaca. 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 Lumaca. The network helps show where Massimo Lumaca may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Lumaca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 39 | |
| 2 | 2018 | 38 | |
| 3 | 2019 | 23 | |
| 4 | 2017 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2016 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 |
About Massimo Lumaca
Massimo Lumaca is a scholar working on Cognitive Neuroscience, Signal Processing, Cultural Studies, Developmental Biology and Social Psychology, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (13 papers), Neural dynamics and brain function (11 papers), Language and cultural evolution (4 papers), Functional Brain Connectivity Studies (4 papers), Music and Audio Processing (4 papers), Animal Vocal Communication and Behavior (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Hearing Loss and Rehabilitation (2 papers). The work is most often cited by research in Developmental Biology (31 citations), Cognitive Neuroscience (195 citations), Signal Processing (53 citations), Music (13 citations) and Experimental and Cognitive Psychology (54 citations). Massimo Lumaca has collaborated with scholars based in Denmark, Italy and Norway. Frequent co-authors include Giosuè Baggio, Peter Vuust, Elvira Brattico, Niels Trusbak Haumann, Manon Grube, Andrea Ravignani, Leonardo Restivo, Massimiliano Aceti, Martine Ammassari‐Teule and Gisella Vetere. Their work appears in journals such as Cerebral Cortex, Social Cognitive and Affective Neuroscience, Scientific Reports, Brain Research and Nature Communications.
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.