Alessio Ansuini
- Cellular and Molecular Neuroscience
- Molecular Biology
- Cognitive Neuroscience
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Davide ZoccolanFederica B. RosselliJakob H. MackeAlireza AlemiAlessandra FabbroJummi LaishramSusanna BosiMaurizio Prato
- Topics
- Neural Networks and Applications (3 papers)Machine Learning in Bioinformatics (2 papers)Protein Structure and Dynamics (2 papers)
In The Last Decade
Alessio Ansuini
14 papers receiving 220 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 78
- Molecular Biology 61
- Cognitive Neuroscience 44
- Biomedical Engineering 43
- Artificial Intelligence 22
Countries citing papers authored by Alessio Ansuini
This map shows the geographic impact of Alessio Ansuini'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 Alessio Ansuini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessio Ansuini more than expected).
Fields of papers citing papers by Alessio Ansuini
This network shows the impact of papers produced by Alessio Ansuini. 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 Alessio Ansuini. The network helps show where Alessio Ansuini may publish in the future.
Co-authorship network of co-authors of Alessio Ansuini
This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Ansuini. A scholar is included among the top collaborators of Alessio Ansuini 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 Alessio Ansuini. Alessio Ansuini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | 4 | |
| 8 | Intrinsic dimension of data representations in deep neural networks | 9 |
| 9 | 23 | |
| 10 | 68 | |
| 11 | 23 | |
| 12 | 21 | |
| 13 | 21 | |
| 14 | 10 |
About Alessio Ansuini
Alessio Ansuini is a scholar working on Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Endocrine and Autonomic Systems, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Machine Learning in Bioinformatics (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (78 citations), Developmental Neuroscience (11 citations) and Sensory Systems (12 citations). Alessio Ansuini has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Davide Zoccolan, Federica B. Rosselli, Jakob H. Macke, Alireza Alemi, Alessandra Fabbro, Jummi Laishram, Susanna Bosi, Maurizio Prato, Emily R. Aurand and M. De Crescenzi. Their work appears in journals such as Bioinformatics, Current Biology and Scientific Reports.
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.