Giulia Sprugnoli

38 total papers · 1.1k total citations
31 papers, 721 citations indexed

About

Giulia Sprugnoli is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Giulia Sprugnoli has authored 31 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 12 papers in Neurology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Giulia Sprugnoli's work include Functional Brain Connectivity Studies (16 papers), Transcranial Magnetic Stimulation Studies (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Giulia Sprugnoli is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Transcranial Magnetic Stimulation Studies (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Giulia Sprugnoli collaborates with scholars based in United States, Italy and Spain. Giulia Sprugnoli's co-authors include Emiliano Santarnecchi, Símone Rossi, Alessandro Rossi, Álvaro Pascual‐Leone, Davide Momi, Francesco Neri, Giorgio Di Lorenzo, Giulio Ruffini, Lucia Mencarelli and Elisa Tatti and has published in prestigious journals such as Neurology, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Giulia Sprugnoli

31 papers receiving 714 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Giulia Sprugnoli	385	270	151	99	97	31	721
Stefanie Keulen	467 1.2×	248 0.9×	97 0.6×	94 0.9×	67 0.7×	25	887
Jochen Michely	505 1.3×	292 1.1×	104 0.7×	154 1.6×	186 1.9×	26	857
Andrew M. Vahabzadeh‐Hagh	355 0.9×	482 1.8×	127 0.8×	68 0.7×	104 1.1×	38	902
Christine Molnar	301 0.8×	219 0.8×	89 0.6×	89 0.9×	67 0.7×	19	685
Jooyeon Jamie Im	307 0.8×	226 0.8×	89 0.6×	69 0.7×	62 0.6×	39	701
Davide Momi	544 1.4×	369 1.4×	52 0.3×	113 1.1×	99 1.0×	36	802
Gillian M. Clark	427 1.1×	190 0.7×	104 0.7×	42 0.4×	58 0.6×	39	768
Jing Tian	294 0.8×	257 1.0×	80 0.5×	60 0.6×	115 1.2×	53	694
Mark F. Jacobs	498 1.3×	285 1.1×	96 0.6×	160 1.6×	200 2.1×	16	729
Xiaolin Liu	523 1.4×	90 0.3×	136 0.9×	89 0.9×	80 0.8×	45	858

Countries citing papers authored by Giulia Sprugnoli

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Sprugnoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Sprugnoli

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Sprugnoli. A scholar is included among the top collaborators of Giulia Sprugnoli 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 Giulia Sprugnoli. Giulia Sprugnoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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