Eleonora Maggioni

94 total papers · 1.2k total citations
48 papers, 674 citations indexed

About

Eleonora Maggioni is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Eleonora Maggioni has authored 48 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 17 papers in Psychiatry and Mental health and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Eleonora Maggioni's work include Functional Brain Connectivity Studies (34 papers), Bipolar Disorder and Treatment (9 papers) and Neural dynamics and brain function (8 papers). Eleonora Maggioni is often cited by papers focused on Functional Brain Connectivity Studies (34 papers), Bipolar Disorder and Treatment (9 papers) and Neural dynamics and brain function (8 papers). Eleonora Maggioni collaborates with scholars based in Italy, United States and Germany. Eleonora Maggioni's co-authors include Paolo Brambilla, Giuseppe Delvecchio, Marcella Bellani, Anna Maria Bianchi, A. Carlo Altamura, Fabio Triulzi, Filippo Arrigoni, Cinzia Perlini, Claudio Zucca and Gianluigi Reni and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Eleonora Maggioni

41 papers receiving 669 citations

Author Peers

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

Author						Papers	Cites
Eleonora Maggioni	421	257	168	152	68	48	674
Huaigui Liu	540 1.3×	165 0.6×	230 1.4×	109 0.7×	75 1.1×	27	778
Sheena I. Dev	274 0.7×	270 1.1×	149 0.9×	96 0.6×	105 1.5×	31	711
Sheeba Arnold Anteraper	579 1.4×	144 0.6×	183 1.1×	151 1.0×	95 1.4×	31	760
Zhangzhang Qi	522 1.2×	360 1.4×	194 1.2×	213 1.4×	61 0.9×	31	748
Chuang Yang	450 1.1×	216 0.8×	304 1.8×	61 0.4×	49 0.7×	41	738
Chantal Meslin	213 0.5×	281 1.1×	139 0.8×	69 0.5×	86 1.3×	27	648
Naohiro Okada	410 1.0×	196 0.8×	313 1.9×	77 0.5×	35 0.5×	49	694
Qian Zhou	517 1.2×	261 1.0×	247 1.5×	174 1.1×	40 0.6×	34	739
Dengtang Liu	263 0.6×	250 1.0×	133 0.8×	98 0.6×	87 1.3×	53	625
Xiaofen Zong	417 1.0×	169 0.7×	213 1.3×	158 1.0×	38 0.6×	33	739

Countries citing papers authored by Eleonora Maggioni

Since Specialization

Citations

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

Fields of papers citing papers by Eleonora Maggioni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Maggioni

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