Claudia Cea

875 citations
21 papers · 684 · h-index 14

Impact in

Papers in

Claudia Cea

21 papers receiving 674 citations

Peers

Claudia Cea
Comparison fields: 5 of 58
  • Polymers and Plastics 374
  • Cellular and Molecular Neuroscience 332
  • Bioengineering 59
  • Biomedical Engineering 296
  • Electrical and Electronic Engineering 348
Replace George D. Spyropoulos with:
George D. Spyropoulos United States
Amanda Jonsson Sweden
Karin Larsson Sweden
Patricia Jastrzebska‐Perfect United States
Artin Petrossians United States
Thomas Lonjaret France
David Zhou United States
Émeline Descamps France
Marie Jakešová Sweden
Theresia Arbring Sjöström Sweden
Claudia Cea relative to George D. Spyropoulos United States George D. Spyropoulos's profile →
Citations per field
00.5×1.5×
George D. Spyropoulos · 1×
Citations per year

Countries citing papers authored by Claudia Cea

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Cea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudia Cea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Claudia Cea Line = papers co-authored together Claudia Cea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020235
2 202368
3 202053
4 202246
5 202045
6 201830
7 201727
8 201826
9 202222
10 202321
11 202120
12 202219
13 202116
14 201915
15 202012
16 20257
17 20257
18 20216
19 20244
20 20243

About Claudia Cea

Claudia Cea is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics, Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 21 papers that have together received 684 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Conducting polymers and applications (10 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Advanced Memory and Neural Computing (7 papers), Photoreceptor and optogenetics research (5 papers), Neural dynamics and brain function (3 papers), Neurological disorders and treatments (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Polymers and Plastics (374 citations), Cellular and Molecular Neuroscience (332 citations), Bioengineering (59 citations), Biomedical Engineering (296 citations) and Electrical and Electronic Engineering (348 citations). Claudia Cea has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Jennifer N. Gelinas, Dion Khodagholy, George D. Spyropoulos, Patricia Jastrzebska‐Perfect, Zifang Zhao, José Javier Ferrero, D. Wiśniewski, Sam Kassegne, Elisa Castagnola and Sameer A. Sheth. Their work appears in journals such as Science Advances, Advanced Science, Advanced Biosystems, Nature Materials and Advanced Materials Technologies.

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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