Alessandro Milozzi
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
Papers in
-
- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 1
-
- Neural dynamics and brain function 4
- Co-authors
- Daniele Ielmini (7 shared papers)Saverio Ricci (2 shared papers)Matteo Farronato (4 shared papers)Erika Covi (2 shared papers)Wei Wang (2 shared papers)Giacomo Pedretti (1 shared paper)Ivan Shorubalko (1 shared paper)Erfu Wu (1 shared paper)
- Journals
- Science Advances (2 papers)Nature Communications (1 paper)IEEE Transactions on Electron Devices (1 paper)mediaTUM (Technical University of Munich) (1 paper)Advanced Intelligent Systems (1 paper)
- Partner nations
- ItalySwitzerlandTaiwan
In The Last Decade
Alessandro Milozzi
5 papers receiving 172 citations
Peers
Comparison fields: 5 of 23
- Cellular and Molecular Neuroscience 66
- Electrical and Electronic Engineering 162
- Polymers and Plastics 32
- Cognitive Neuroscience 42
- Artificial Intelligence 25
Countries citing papers authored by Alessandro Milozzi
This map shows the geographic impact of Alessandro Milozzi'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 Alessandro Milozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Milozzi more than expected).
Fields of papers citing papers by Alessandro Milozzi
This network shows the impact of papers produced by Alessandro Milozzi. 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 Alessandro Milozzi. The network helps show where Alessandro Milozzi may publish in the future.
Co-authors
The 21 scholars most cited alongside Alessandro Milozzi, 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 | 2020 | 55 | |
| 2 | 2022 | 49 | |
| 3 | 2021 | 39 | |
| 4 | 2024 | 25 | |
| 5 | 2025 | 7 | |
| 6 | 2025 | 0 | |
| 7 | 2022 | 0 |
About Alessandro Milozzi
Alessandro Milozzi is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Polymers and Plastics, having authored 7 papers that have together received 175 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (2 papers), Neuroscience and Neural Engineering (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper), Neural Networks and Reservoir Computing (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Transition Metal Oxide Nanomaterials (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (66 citations), Electrical and Electronic Engineering (162 citations), Polymers and Plastics (32 citations), Cognitive Neuroscience (42 citations) and Artificial Intelligence (25 citations). Alessandro Milozzi has collaborated with scholars based in Italy, Switzerland and Taiwan. Frequent co-authors include Daniele Ielmini, Saverio Ricci, Matteo Farronato, Erika Covi, Wei Wang, Giacomo Pedretti, Ivan Shorubalko, Erfu Wu, Sergey Tsarev and Yu‐Hsuan Lin. Their work appears in journals such as Science Advances, Nature Communications, IEEE Transactions on Electron Devices, mediaTUM (Technical University of Munich) and Advanced Intelligent Systems.
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.