Marco Rubino

500 total citations
16 papers, 374 citations indexed

About

Marco Rubino is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Marco Rubino has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Psychiatry and Mental health. Recurrent topics in Marco Rubino's work include Neuroscience and Neural Engineering (4 papers), Migraine and Headache Studies (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Marco Rubino is often cited by papers focused on Neuroscience and Neural Engineering (4 papers), Migraine and Headache Studies (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Marco Rubino collaborates with scholars based in Italy and United States. Marco Rubino's co-authors include Giacomo Della Marca, Domenico Restuccia, Massimiliano Valeriani, Catello Vollono, P. Tonali, Giovanna Di Trapani, Camillo Marra, Paolo Mariotti, Alessandro Capuano and P. Tonali and has published in prestigious journals such as Neurology, Experimental Neurology and Movement Disorders.

In The Last Decade

Marco Rubino

15 papers receiving 366 citations

Peers

Marco Rubino
Comparison fields: 5 of 54
  • Cognitive Neuroscience 185
  • Psychiatry and Mental health 113
  • Experimental and Cognitive Psychology 71
  • Neurology 64
  • Physiology 58
Replace Vinay Goyal with:
Vinay Goyal India
Fumihiro Nakamura Japan
B.K. Ahmad United States
Simona Maccora Italy
Akira Hashizume Japan
Francesca Giglia Italy
Lingheng Song China
Fumitoshi Niwa Japan
F. E. Posthumus Meyjes Netherlands
Vinay Goyal India View profile →
Citations per field, relative to Marco Rubino
Marco Rubino · 1×
Citations per year, relative to Marco Rubino
Marco Rubino · 1×

Countries citing papers authored by Marco Rubino

Since Specialization
Citations

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

Fields of papers citing papers by Marco Rubino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Rubino

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 3
2 11
3 40
4 13
5 42
6 7
7 3
8 70
9 28
10 21
11 26
12 11
13 38
14 42
15 19
16 0

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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