Danilo Spada

25 total papers · 1.2k total citations
9 papers, 695 citations indexed

About

Danilo Spada is a scholar working on Cognitive Neuroscience, Social Psychology and Rehabilitation. According to data from OpenAlex, Danilo Spada has authored 9 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Social Psychology and 1 paper in Rehabilitation. Recurrent topics in Danilo Spada's work include Neuroscience and Music Perception (7 papers), Neural dynamics and brain function (3 papers) and Motor Control and Adaptation (2 papers). Danilo Spada is often cited by papers focused on Neuroscience and Music Perception (7 papers), Neural dynamics and brain function (3 papers) and Motor Control and Adaptation (2 papers). Danilo Spada collaborates with scholars based in Italy, Germany and United States. Danilo Spada's co-authors include Daniela Perani, Paola Scifo, Maria Cristina Saccuman, Cristina Baldoli, Alfred Anwander, Gabriele Lohmann, Angela D. Friederici, Antonella Poloniato, Rosanna Rovelli and Stefan Koelsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Danilo Spada

8 papers receiving 675 citations

Author Peers

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

Author Last Decade Papers Cites
Danilo Spada 531 193 174 94 91 9 695
Megha Sharda 549 1.0× 217 1.1× 82 0.5× 38 0.4× 42 0.5× 22 622
Saloni Krishnan 510 1.0× 249 1.3× 61 0.4× 24 0.3× 124 1.4× 29 707
Anu Kujala 711 1.3× 180 0.9× 42 0.2× 64 0.7× 279 3.1× 14 778
Rossitza Draganova 565 1.1× 83 0.4× 55 0.3× 177 1.9× 122 1.3× 25 758
Elise A. Piazza 417 0.8× 107 0.6× 153 0.9× 13 0.1× 183 2.0× 23 644
Luisa Lopez 427 0.8× 211 1.1× 72 0.4× 32 0.3× 75 0.8× 19 665
Lauryn Zipse 635 1.2× 148 0.8× 233 1.3× 18 0.2× 92 1.0× 21 764
Regine Oberecker 406 0.8× 322 1.7× 45 0.3× 35 0.4× 95 1.0× 11 555
Nozomi Naoi 368 0.7× 214 1.1× 97 0.6× 102 1.1× 101 1.1× 17 618
Marsha G. Clarkson 495 0.9× 317 1.6× 117 0.7× 38 0.4× 148 1.6× 26 720

Countries citing papers authored by Danilo Spada

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Spada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Spada

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Spada. A scholar is included among the top collaborators of Danilo Spada 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 Danilo Spada. Danilo Spada 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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