Giosuè Baggio

3.2k total citations · 1 hit paper
95 papers, 1.3k citations indexed

About

Giosuè Baggio is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Giosuè Baggio has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 16 papers in Social Psychology and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Giosuè Baggio's work include Neurobiology of Language and Bilingualism (28 papers), Language, Metaphor, and Cognition (15 papers) and Syntax, Semantics, Linguistic Variation (11 papers). Giosuè Baggio is often cited by papers focused on Neurobiology of Language and Bilingualism (28 papers), Language, Metaphor, and Cognition (15 papers) and Syntax, Semantics, Linguistic Variation (11 papers). Giosuè Baggio collaborates with scholars based in Italy, Norway and Netherlands. Giosuè Baggio's co-authors include Peter Hagoort, Iris van Rooij, Michiel van Lambalgen, Massimo Lumaca, Federica Ferrari, Francesca Ferrari, Tiziana Rossi, M. Castelli, Peter Vuust and Andrea E. Martin and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Giosuè Baggio

90 papers receiving 1.3k citations

Hit Papers

Theory Before the Test: How to Build High-Verisimilitude ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giosuè Baggio Italy 20 688 336 309 212 158 95 1.3k
Naoki Fukui Japan 21 165 0.2× 111 0.3× 157 0.5× 61 0.3× 332 2.1× 122 1.7k
Peter Child Canada 11 1.5k 2.1× 136 0.4× 502 1.6× 138 0.7× 192 1.2× 26 2.6k
Robert Frank United States 19 182 0.3× 111 0.3× 295 1.0× 72 0.3× 393 2.5× 66 1.5k
Youyi Liu China 21 605 0.9× 536 1.6× 240 0.8× 60 0.3× 65 0.4× 55 1.2k
Hiroko Hagiwara Japan 24 498 0.7× 348 1.0× 135 0.4× 68 0.3× 52 0.3× 87 1.6k
Benny Shanon Israel 20 420 0.6× 205 0.6× 287 0.9× 188 0.9× 97 0.6× 75 1.1k
Steven Verheyen Belgium 17 222 0.3× 194 0.6× 214 0.7× 82 0.4× 197 1.2× 61 900
Yuji Takano Japan 19 218 0.3× 40 0.1× 165 0.5× 75 0.4× 250 1.6× 80 1.2k
Lewis Bott United Kingdom 16 488 0.7× 334 1.0× 350 1.1× 67 0.3× 210 1.3× 36 1.1k
Robert A. Mason United States 12 1.3k 1.9× 324 1.0× 243 0.8× 288 1.4× 262 1.7× 17 1.7k

Countries citing papers authored by Giosuè Baggio

Since Specialization
Citations

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

Fields of papers citing papers by Giosuè Baggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giosuè Baggio

This figure shows the co-authorship network connecting the top 25 collaborators of Giosuè Baggio. A scholar is included among the top collaborators of Giosuè Baggio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giosuè Baggio. Giosuè Baggio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Baggio, Giosuè. (2025). Autonomous semantics and syntax on-demand in neurocomputational models of language. Cognitive Neuroscience. 16(1-4). 81–82.
2.
Vulchanova, Mila, et al.. (2025). The lexicon constrains grammar, grammar constrains composition: ERP evidence for sequential processing of morphological agreement and sentence meaning. Journal of Neurolinguistics. 75. 101261–101261. 1 indexed citations
3.
Lumaca, Massimo, Peter E. Keller, Giosuè Baggio, et al.. (2024). Frontoparietal network topology as a neural marker of musical perceptual abilities. Nature Communications. 15(1). 8160–8160. 6 indexed citations
4.
Ramchand, Gillian, et al.. (2023). How (not) to look for meaning composition in the brain: A reassessment of current experimental paradigms. Duo Research Archive (University of Oslo). 2. 2 indexed citations
5.
Lumaca, Massimo, Leonardo Bonetti, Elvira Brattico, et al.. (2023). High-fidelity transmission of auditory symbolic material is associated with reduced right–left neuroanatomical asymmetry between primary auditory regions. Cerebral Cortex. 33(11). 6902–6916. 3 indexed citations
6.
Haukioja, Jussi, et al.. (2023). Are Natural Kind Terms Ambiguous?. Cognitive Science. 47(9). e13335–e13335. 3 indexed citations
7.
Baggio, Giosuè, et al.. (2023). Notational Variants and Cognition: The Case of Dependency Grammar. Erkenntnis. 89(7). 2867–2897. 6 indexed citations
8.
Lumaca, Massimo, Giosuè Baggio, & Peter Vuust. (2021). White matter variability in auditory callosal pathways contributes to variation in the cultural transmission of auditory symbolic systems. Brain Structure and Function. 226(6). 1943–1959. 9 indexed citations
9.
Rooij, Iris van & Giosuè Baggio. (2021). Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science. Perspectives on Psychological Science. 16(4). 682–697. 152 indexed citations breakdown →
10.
Baggio, Giosuè, et al.. (2020). Composition decomposed: Distinct neural mechanisms support processing of nouns in modification and predication contexts.. Journal of Experimental Psychology Learning Memory and Cognition. 46(11). 2193–2206. 4 indexed citations
11.
Lumaca, Massimo, Boris Kleber, Elvira Brattico, Peter Vuust, & Giosuè Baggio. (2019). Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems. eLife. 8. 23 indexed citations
12.
Lumaca, Massimo & Giosuè Baggio. (2016). Brain potentials predict learning, transmission and modification of an artificial symbolic system. Social Cognitive and Affective Neuroscience. 11(12). 1970–1979. 17 indexed citations
13.
Brederoo, Sanne, et al.. (2015). Gamma Oscillations as a Neural Signature of Shifting Times in Narrative Language. PLoS ONE. 10(4). e0121146–e0121146. 4 indexed citations
14.
Brederoo, Sanne, et al.. (2015). Disrupting morphosyntactic and lexical semantic processing has opposite effects on the sample entropy of neural signals. Brain Research. 1604. 1–14. 3 indexed citations
15.
Pavan, Andrea, et al.. (2013). Motion words selectively modulate direction discrimination sensitivity for threshold motion. Frontiers in Human Neuroscience. 7. 134–134. 6 indexed citations
16.
Baggio, Giosuè. (2012). Selective alignment of brain responses by task demands during semantic processing. Neuropsychologia. 50(5). 655–665. 16 indexed citations
17.
Castelli, M., et al.. (2000). Cytotoxicity and probable mechanism of action of sulphimidazole. Journal of Antimicrobial Chemotherapy. 46(4). 541–550. 20 indexed citations
18.
Rossi, Tiziana, Rita Adriana Fano, M. Castelli, et al.. (1999). Correlation between High Intake of Glycyrrhizin and Myolysis of the Papillary Muscles: An Experimental in vivo Study. Pharmacology & Toxicology. 85(s1). 221–229. 10 indexed citations
20.
Castelli, M., et al.. (1992). In vitro activity of sulphimidazole alone and in association with trimethoprim against enteric pathogens. Pharmacological Research. 25(4). 373–381. 3 indexed citations

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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