Francesca Camera

515 citations
37 papers · 367 indexed · h-index 12
Topics
Neuroscience and Neural Engineering (9 papers)Electromagnetic Fields and Biological Effects (7 papers)Neural dynamics and brain function (6 papers)
Partner nations
ItalyFranceCanada

In The Last Decade

Francesca Camera

34 papers receiving 364 citations

Peers

Francesca Camera
Comparison fields: 5 of 76
  • Biomedical Engineering 147
  • Electrical and Electronic Engineering 85
  • Media Technology 80
  • Cellular and Molecular Neuroscience 68
  • Biophysics 57
Replace G Ranganathan with:
G Ranganathan India
A. Lenin Fred India
T. Sunil Kumar India
Mahmoud Shoman Egypt
Rayyan Azam Khan Canada
Jumana Waleed Iraq
Shuailei Zhang China
Mauricio Vanegas Spain
Luca Ambrogioni Netherlands
Chengxu Zhuang United States
Francesca Camera relative to G Ranganathan India G Ranganathan's profile →
Citations per field
00.5×3.0×
G Ranganathan · 1×
Citations per year

Countries citing papers authored by Francesca Camera

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Camera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Camera

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Camera. A scholar is included among the top collaborators of Francesca Camera 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 Francesca Camera. Francesca Camera 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
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3 0
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5 1
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7 8
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10 26
11 12
12 1
13 25
14 5
15 30
16 5
17 19
18 10
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20 5

About Francesca Camera

Francesca Camera is a scholar working on Biophysics, Neurology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 367 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Electromagnetic Fields and Biological Effects (7 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Biophysics (57 citations), Media Technology (80 citations) and Neurology (55 citations). Francesca Camera has collaborated with scholars based in Italy, France and Canada. Frequent co-authors include Gaetano Marrocco, Micaela Liberti, Francesca Apollonio, Alessandra Paffi, Cecilia Occhiuzzi, Simone Nappi, Simone Orcioni, Fioravante Capone, Francesco Amato and Caterina Merla. Their work appears in journals such as Journal of Neurophysiology, Scientific Reports and International Journal of Molecular Sciences.

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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