Davide Zoccolan
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Sensory Systems top 2%
- Co-authors
- James J. DiCarloNicole C. RustDavid CoxVincent TorreFederica B. RosselliAlireza AlemiMinjoon KouhTomaso Poggio
- Topics
- Neural dynamics and brain function (24 papers)Visual perception and processing mechanisms (14 papers)Neuroscience and Neuropharmacology Research (9 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Davide Zoccolan
34 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 548
- Computer Vision and Pattern Recognition 322
- Artificial Intelligence 167
- Sensory Systems 161
Countries citing papers authored by Davide Zoccolan
This map shows the geographic impact of Davide Zoccolan'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 Davide Zoccolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Zoccolan more than expected).
Fields of papers citing papers by Davide Zoccolan
This network shows the impact of papers produced by Davide Zoccolan. 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 Davide Zoccolan. The network helps show where Davide Zoccolan may publish in the future.
Co-authorship network of co-authors of Davide Zoccolan
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Zoccolan. A scholar is included among the top collaborators of Davide Zoccolan 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 Davide Zoccolan. Davide Zoccolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | Intrinsic dimension of data representations in deep neural networks | 9 |
| 8 | 23 | |
| 9 | 40 | |
| 10 | 55 | |
| 11 | 73 | |
| 12 | 48 | |
| 13 | 48 | |
| 14 | How Does the Brain Solve Visual Object Recognition?breakdown → | 1055 |
| 15 | 38 | |
| 16 | 163 | |
| 17 | 26 | |
| 18 | 16 | |
| 19 | 19 | |
| 20 | 19 |
About Davide Zoccolan
Davide Zoccolan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Visual perception and processing mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Sensory Systems (161 citations) and Cellular and Molecular Neuroscience (548 citations). Davide Zoccolan has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include James J. DiCarlo, Nicole C. Rust, David Cox, Vincent Torre, Federica B. Rosselli, Alireza Alemi, Minjoon Kouh, Tomaso Poggio, Alessio Ansuini and Nuo Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.