Giuseppe Pica
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Stefano PanzeriBrendon W. LovettS. A. LyonR. N. BhattTommaso FellinSerena BovettiGiulia D’UrsoClaudio Moretti
- Topics
- Quantum and electron transport phenomena (5 papers)Neural dynamics and brain function (4 papers)Advancements in Semiconductor Devices and Circuit Design (3 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceAtomic and Molecular Physics, and Optics
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Giuseppe Pica
10 papers receiving 319 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 150
- Cellular and Molecular Neuroscience 100
- Atomic and Molecular Physics, and Optics 92
- Electrical and Electronic Engineering 77
- Artificial Intelligence 49
Countries citing papers authored by Giuseppe Pica
This map shows the geographic impact of Giuseppe Pica'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 Giuseppe Pica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Pica more than expected).
Fields of papers citing papers by Giuseppe Pica
This network shows the impact of papers produced by Giuseppe Pica. 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 Giuseppe Pica. The network helps show where Giuseppe Pica may publish in the future.
Co-authorship network of co-authors of Giuseppe Pica
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Pica. A scholar is included among the top collaborators of Giuseppe Pica 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 Giuseppe Pica. Giuseppe Pica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 3 | |
| 3 | Quantifying how much sensory information in a neural code is relevant for behavior | 7 |
| 4 | 133 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 37 | |
| 8 | 7 | |
| 9 | 37 | |
| 10 | 21 |
About Giuseppe Pica
Giuseppe Pica is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 325 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (5 papers), Neural dynamics and brain function (4 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Cognitive Neuroscience (150 citations), Cellular and Molecular Neuroscience (100 citations) and Atomic and Molecular Physics, and Optics (92 citations). Giuseppe Pica has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Stefano Panzeri, Brendon W. Lovett, S. A. Lyon, R. N. Bhatt, Tommaso Fellin, Serena Bovetti, Giulia D’Urso, Claudio Moretti, Valentina Pasquale and Dania Vecchia. Their work appears in journals such as Nature Neuroscience, Physical Review B and eLife.
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.