Daniela Bianchi
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Motor Control and Adaptation
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
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- Memory and Neural Mechanisms 3
- Neural dynamics and brain function 2
- Co-authors
- Michele Migliore (5 shared papers)Hélène Marie (5 shared papers)Cristina Marchetti (3 shared papers)Panayiota Poirazi (1 shared paper)Xavier Leinekugel (1 shared paper)Armando Romani (1 shared paper)B. Tirozzi (4 shared papers)Addolorata Marasco (1 shared paper)
In The Last Decade
Daniela Bianchi
6 papers receiving 351 citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 210
- Cellular and Molecular Neuroscience 152
- Physical Therapy, Sports Therapy and Rehabilitation 15
- Biological Psychiatry 7
- Statistical and Nonlinear Physics 31
Countries citing papers authored by Daniela Bianchi
This map shows the geographic impact of Daniela Bianchi'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 Daniela Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Bianchi more than expected).
Fields of papers citing papers by Daniela Bianchi
This network shows the impact of papers produced by Daniela Bianchi. 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 Daniela Bianchi. The network helps show where Daniela Bianchi may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniela Bianchi, 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 | 2013 | 187 | |
| 2 | 2012 | 101 | |
| 3 | 2019 | 27 | |
| 4 | 2013 | 22 | |
| 5 | 2006 | 12 | |
| 6 | 2022 | 3 | |
| 7 | 2007 | 1 | |
| 8 | 2023 | 0 |
About Daniela Bianchi
Daniela Bianchi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Artificial Intelligence and Control and Systems Engineering, having authored 8 papers that have together received 353 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Applications (2 papers), Neural dynamics and brain function (2 papers), Design Education and Practice (1 paper) and Control Systems and Identification (1 paper). The work is most often cited by research in Cognitive Neuroscience (210 citations), Cellular and Molecular Neuroscience (152 citations), Physical Therapy, Sports Therapy and Rehabilitation (15 citations), Biological Psychiatry (7 citations) and Statistical and Nonlinear Physics (31 citations). Daniela Bianchi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Michele Migliore, Hélène Marie, Cristina Marchetti, Panayiota Poirazi, Xavier Leinekugel, Armando Romani, B. Tirozzi, Addolorata Marasco, Raffaele Calogero and Pasquale De Michele. Their work appears in journals such as Mathematical and Computer Modelling, Cell Reports, Journal of Computational Neuroscience, Hippocampus and Biophysical Journal.
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.