Camilla Baj-Rossi
- Bioengineering top 5%
- Analytical Chemistry and Sensors 11
- Electrochemistry top 5%
- Electrochemical Analysis and Applications 4
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- Neuroscience and Neural Engineering 12
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- Electrochemical sensors and biosensors 15
- Advanced Memory and Neural Computing 3
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- Microfluidic and Capillary Electrophoresis Applications 3
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- Advanced biosensing and bioanalysis techniques 5
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- Conducting polymers and applications 2
- Co-authors
- Sandro CarraraGiovanni De MicheliAndrea CavalliniSara S. GhoreishizadehMarie‐Agnès DouceyDavide SacchettoYusuf LeblebiciCristina Boero
- Partner nations
- SwitzerlandItalyUnited Kingdom
In The Last Decade
Camilla Baj-Rossi
23 papers receiving 526 citations
Peers
Comparison fields: 5 of 79
- Bioengineering 113
- Electrochemistry 92
- Cellular and Molecular Neuroscience 152
- Electrical and Electronic Engineering 360
- Biomedical Engineering 200
Countries citing papers authored by Camilla Baj-Rossi
This map shows the geographic impact of Camilla Baj-Rossi'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 Camilla Baj-Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camilla Baj-Rossi more than expected).
Fields of papers citing papers by Camilla Baj-Rossi
This network shows the impact of papers produced by Camilla Baj-Rossi. 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 Camilla Baj-Rossi. The network helps show where Camilla Baj-Rossi may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Camilla Baj-Rossi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 3 | |
| 2 | 2016 | 6 | |
| 3 | 2016 | 10 | |
| 4 | 2015 | 26 | |
| 5 | 2015 | 0 | |
| 6 | 2015 | 5 | |
| 7 | 2015 | 2 | |
| 8 | 2015 | 3 | |
| 9 | 2014 | 7 | |
| 10 | 2014 | 27 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 59 | |
| 13 | 2013 | 10 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 7 | |
| 16 | 2012 | 72 | |
| 17 | 2012 | 103 | |
| 18 | 2012 | 4 | |
| 19 | 2012 | 20 | |
| 20 | 2012 | 50 |
About Camilla Baj-Rossi
Camilla Baj-Rossi is a scholar working on Bioengineering, Cellular and Molecular Neuroscience and Electrochemistry, having authored 24 papers that have together received 531 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (15 papers), Neuroscience and Neural Engineering (12 papers), Analytical Chemistry and Sensors (11 papers), Advanced biosensing and bioanalysis techniques (5 papers), Electrochemical Analysis and Applications (4 papers), Advanced Memory and Neural Computing (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Bioengineering (113 citations), Electrochemistry (92 citations) and Cellular and Molecular Neuroscience (152 citations). Camilla Baj-Rossi has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Sandro Carrara, Giovanni De Micheli, Andrea Cavallini, Sara S. Ghoreishizadeh, Marie‐Agnès Doucey, Davide Sacchetto, Yusuf Leblebici, Cristina Boero, Fabio Grassi and Tanja Rezzonico Jost. Their work appears in journals such as Electrochimica Acta, Sensors and Biosensors and Bioelectronics.
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.