Emma Maggiolini

32 total papers · 943 total citations
29 papers, 718 citations indexed

About

Emma Maggiolini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Polymers and Plastics. According to data from OpenAlex, Emma Maggiolini has authored 29 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 10 papers in Polymers and Plastics. Recurrent topics in Emma Maggiolini's work include Neuroscience and Neural Engineering (26 papers), EEG and Brain-Computer Interfaces (15 papers) and Conducting polymers and applications (10 papers). Emma Maggiolini is often cited by papers focused on Neuroscience and Neural Engineering (26 papers), EEG and Brain-Computer Interfaces (15 papers) and Conducting polymers and applications (10 papers). Emma Maggiolini collaborates with scholars based in Italy, United States and Germany. Emma Maggiolini's co-authors include Luciano Fadiga, Elisa Castagnola, Davide Ricci, Alberto Ansaldo, Gian Nicola Angotzi, Elena Zucchini, Francesca Ciarpella, Maria Vomero, Sam Kassegne and Noah Goshi and has published in prestigious journals such as ACS Nano, Current Biology and Journal of Neurophysiology.

In The Last Decade

Emma Maggiolini

28 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
Emma Maggiolini 566 306 271 257 209 29 718
Zhanhong Du 715 1.3× 300 1.0× 318 1.2× 304 1.2× 286 1.4× 26 862
Carrie Newbold 340 0.6× 389 1.3× 204 0.8× 105 0.4× 234 1.1× 22 733
Maria Vomero 465 0.8× 157 0.5× 223 0.8× 267 1.0× 227 1.1× 29 627
Kyounghwan Na 498 0.9× 240 0.8× 111 0.4× 221 0.9× 252 1.2× 18 653
Steven M. Wellman 587 1.0× 241 0.8× 128 0.5× 168 0.7× 208 1.0× 16 741
J. Ehrlich 739 1.3× 333 1.1× 346 1.3× 413 1.6× 221 1.1× 20 851
John L. Skousen 789 1.4× 396 1.3× 201 0.7× 229 0.9× 280 1.3× 9 893
Mary Jane Turner 575 1.0× 300 1.0× 151 0.6× 282 1.1× 206 1.0× 18 794
Joseph W. Salatino 545 1.0× 261 0.9× 111 0.4× 158 0.6× 189 0.9× 9 626
P. E. K. Donaldson 455 0.8× 168 0.5× 104 0.4× 192 0.7× 340 1.6× 53 663

Countries citing papers authored by Emma Maggiolini

Since Specialization
Citations

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

Fields of papers citing papers by Emma Maggiolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Maggiolini

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