Nicolas Alba
Impact in
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- Neuroscience and Neural Engineering
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Neuroscience and Neural Engineering 6
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- EEG and Brain-Computer Interfaces 2
- Neural dynamics and brain function 1
- Co-authors
- Xinyan Tracy Cui (6 shared papers)Christopher Matranga (2 shared papers)Susheng Tan (2 shared papers)Xiliang Luo (2 shared papers)Robert J. Sclabassi (1 shared paper)Zhanhong Du (1 shared paper)Mingui Sun (1 shared paper)Kasey Catt (1 shared paper)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Biosensors (1 paper)Analytical and Bioanalytical Chemistry (1 paper)Biomaterials (1 paper)Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Nicolas Alba
10 papers receiving 486 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 268
- Polymers and Plastics 144
- Cognitive Neuroscience 116
- Biomedical Engineering 209
- Biomaterials 58
Countries citing papers authored by Nicolas Alba
This map shows the geographic impact of Nicolas Alba'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 Nicolas Alba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Alba more than expected).
Fields of papers citing papers by Nicolas Alba
This network shows the impact of papers produced by Nicolas Alba. 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 Nicolas Alba. The network helps show where Nicolas Alba may publish in the future.
Co-authors
The 21 scholars most cited alongside Nicolas Alba, 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 | 2011 | 197 | |
| 2 | 2015 | 107 | |
| 3 | 2010 | 82 | |
| 4 | 2006 | 32 | |
| 5 | 2008 | 22 | |
| 6 | 2006 | 22 | |
| 7 | Carbon nanotube nanoreservior for controlled release of anti-inflammatory dexamethasone. Biomaterials. | 2011 | 15 |
| 8 | 2017 | 9 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 3 |
About Nicolas Alba
Nicolas Alba is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Polymers and Plastics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 10 papers that have together received 497 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Conducting polymers and applications (3 papers), EEG and Brain-Computer Interfaces (2 papers), Potassium and Related Disorders (1 paper), Graphene and Nanomaterials Applications (1 paper), Magnesium in Health and Disease (1 paper), Neural dynamics and brain function (1 paper) and Advanced Sensor and Energy Harvesting Materials (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (268 citations), Polymers and Plastics (144 citations), Cognitive Neuroscience (116 citations), Biomedical Engineering (209 citations) and Biomaterials (58 citations). Nicolas Alba has collaborated with scholars based in United States and Italy. Frequent co-authors include Xinyan Tracy Cui, Christopher Matranga, Susheng Tan, Xiliang Luo, Robert J. Sclabassi, Zhanhong Du, Mingui Sun, Kasey Catt, Takashi D.Y. Kozai and Toshikazu Nishida. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biosensors, Analytical and Bioanalytical Chemistry, Biomaterials and Journal of Pharmaceutical 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.