Maria Vomero

819 citations
29 papers · 639 indexed · h-index 15
Topics
Neuroscience and Neural Engineering (28 papers)Conducting polymers and applications (18 papers)EEG and Brain-Computer Interfaces (11 papers)

In The Last Decade

Maria Vomero

28 papers receiving 626 citations

Peers

Maria Vomero
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 477
  • Electrical and Electronic Engineering 268
  • Biomedical Engineering 233
  • Polymers and Plastics 224
  • Cognitive Neuroscience 164
Replace Artin Petrossians with:
Artin Petrossians United States
Elena Zucchini Italy
David Zhou United States
Émeline Descamps France
Moshe David‐Pur Israel
Emma Maggiolini Italy
Sanitta Thongpang United States
Marc Olivier Heuschkel Switzerland
Rachelle T. Hassarati Australia
Zhanhong Du China
Maria Vomero relative to Artin Petrossians United States Artin Petrossians's profile →
Citations per field
00.5×2.7×
Artin Petrossians · 1×
Citations per year

Countries citing papers authored by Maria Vomero

Since Specialization
Citations

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

Fields of papers citing papers by Maria Vomero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Vomero

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 22
3 21
4 54
5 0
6 7
7 73
8 8
9 26
10 24
11 10
12 2
13 12
14 123
15 28
16 26
17 6
18 5
19 34
20 18

About Maria Vomero

Maria Vomero is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Cognitive Neuroscience, having authored 29 papers that have together received 639 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (28 papers), Conducting polymers and applications (18 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (477 citations), Polymers and Plastics (224 citations) and Cognitive Neuroscience (164 citations). Maria Vomero has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Luciano Fadiga, Thomas Stieglitz, Elena Zucchini, Sam Kassegne, Stefano Carli, Davide Ricci, Francesca Ciarpella, Elisa Castagnola, Noah Goshi and Maria Asplund. Their work appears in journals such as Nature Communications, Biomaterials and Scientific Reports.

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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