Maria Luisa Lorusso
-
- Reading and Literacy Development 56
- Language Development and Disorders 16
- Statistics and Probability top 0.2%
- Cognitive and developmental aspects of mathematical skills 20
- Cognitive Neuroscience top 1%
- Neurobiology of Language and Bilingualism 15
- Tactile and Sensory Interactions 12
- Neuroscience and Music Perception 7
- Psychiatry and Mental health top 5%
- Attention Deficit Hyperactivity Disorder 10
-
- Child Development and Digital Technology 10
- Co-authors
- Andrea FacoettiMassimo MolteniPierluigi PaganoniGian Gastone MascettiCarmen CattaneoCarlo UmiltàMarco ZorziS. Pesenti
- Journals
- SHILAP Revista de lepidopterología (1 paper)Nature Neuroscience (1 paper)PLoS ONE (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Maria Luisa Lorusso
74 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 124
- Developmental and Educational Psychology 2.0k
- Statistics and Probability 991
- Cognitive Neuroscience 1.6k
- Experimental and Cognitive Psychology 281
- Psychiatry and Mental health 308
Countries citing papers authored by Maria Luisa Lorusso
This map shows the geographic impact of Maria Luisa Lorusso'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 Maria Luisa Lorusso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Luisa Lorusso more than expected).
Fields of papers citing papers by Maria Luisa Lorusso
This network shows the impact of papers produced by Maria Luisa Lorusso. 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 Maria Luisa Lorusso. The network helps show where Maria Luisa Lorusso may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Luisa Lorusso, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 26 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 27 | |
| 18 | 2018 | 5 | |
| 19 | 2017 | 2 | |
| 20 | 2004 | 0 |
About Maria Luisa Lorusso
Maria Luisa Lorusso is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Cognitive Neuroscience, having authored 81 papers that have together received 2.9k indexed citations. Recurring topics across this work include Reading and Literacy Development (56 papers), Cognitive and developmental aspects of mathematical skills (20 papers), Language Development and Disorders (16 papers), Neurobiology of Language and Bilingualism (15 papers), Tactile and Sensory Interactions (12 papers), Attention Deficit Hyperactivity Disorder (10 papers), Child Development and Digital Technology (10 papers) and Neuroscience and Music Perception (7 papers). The work is most often cited by research in Developmental and Educational Psychology (2.0k citations), Statistics and Probability (991 citations) and Cognitive Neuroscience (1.6k citations). Maria Luisa Lorusso has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Andrea Facoetti, Massimo Molteni, Pierluigi Paganoni, Gian Gastone Mascetti, Carmen Cattaneo, Carlo Umiltà, Marco Zorzi, S. Pesenti, Maria Nobile and Massimo Turatto. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and PLoS ONE.
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.