Alessandro Milozzi
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
Papers in
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- Advanced Memory and Neural Computing 6
- CCD and CMOS Imaging Sensors 1
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- Neural dynamics and brain function 4
- Co-authors
- Daniele Ielmini (6 shared papers)Saverio Ricci (2 shared papers)Matteo Farronato (3 shared papers)Wei Wang (2 shared papers)Erika Covi (2 shared papers)Giacomo Pedretti (1 shared paper)Sergey Tsarev (1 shared paper)Yu‐Hsuan Lin (1 shared paper)
- Journals
- Science Advances (2 papers)IEEE Transactions on Electron Devices (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)mediaTUM (Technical University of Munich) (1 paper)
- Partner nations
- ItalyTaiwanSwitzerland
In The Last Decade
Alessandro Milozzi
5 papers receiving 160 citations
Peers
Comparison fields: 5 of 21
- Cellular and Molecular Neuroscience 62
- Electrical and Electronic Engineering 153
- Polymers and Plastics 30
- Cognitive Neuroscience 39
- 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 20 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 | 52 | |
| 2 | 2022 | 47 | |
| 3 | 2021 | 37 | |
| 4 | 2024 | 23 | |
| 5 | 2025 | 5 | |
| 6 | 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 6 papers that have together received 164 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (2 papers), Neuroscience and Neural Engineering (1 paper), CCD and CMOS Imaging Sensors (1 paper), Transition Metal Oxide Nanomaterials (1 paper), Neural Networks and Reservoir Computing (1 paper) and Electrochemical Analysis and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (62 citations), Electrical and Electronic Engineering (153 citations), Polymers and Plastics (30 citations), Cognitive Neuroscience (39 citations) and Artificial Intelligence (25 citations). Alessandro Milozzi has collaborated with scholars based in Italy, Taiwan and Switzerland. Frequent co-authors include Daniele Ielmini, Saverio Ricci, Matteo Farronato, Wei Wang, Erika Covi, Giacomo Pedretti, Sergey Tsarev, Yu‐Hsuan Lin, Elia Ambrosi and Rohit Abraham John. Their work appears in journals such as Science Advances, IEEE Transactions on Electron Devices, Nature Communications, SHILAP Revista de lepidopterología and mediaTUM (Technical University of Munich).
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.