A. Bramanti
Impact in
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- Quantum-Dot Cellular Automata
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- Electrochemical Analysis and Applications
Papers in
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- Force Microscopy Techniques and Applications 11
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- Molecular Junctions and Nanostructures 14
- Advanced Memory and Neural Computing 6
- CCD and CMOS Imaging Sensors 3
- Co-authors
- Giuseppe MaruccioR. RinaldiR. CingolaniPaolo ViscontiPier Paolo PompaRosa Di FeliceStefano CorniMarco Cereda
- Journals
- Sensors (4 papers)Materials Science and Engineering C (2 papers)The Journal of Chemical Physics (2 papers)Nanomaterials (2 papers)Nanoscale (2 papers)
- Partner nations
- ItalySwitzerlandCzechia
In The Last Decade
A. Bramanti
32 papers receiving 365 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 73
- Electrochemistry 28
- Electrical and Electronic Engineering 229
- Atomic and Molecular Physics, and Optics 95
- Biomedical Engineering 123
Countries citing papers authored by A. Bramanti
This map shows the geographic impact of A. Bramanti'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 A. Bramanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Bramanti more than expected).
Fields of papers citing papers by A. Bramanti
This network shows the impact of papers produced by A. Bramanti. 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 A. Bramanti. The network helps show where A. Bramanti may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Bramanti, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 4 | |
| 5 | 2018 | 53 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2015 | 6 | |
| 9 | 2012 | 6 | |
| 10 | 2011 | 58 | |
| 11 | Bis-ferrocene molecules for QCA : a write-in method | 2010 | 1 |
| 12 | 2006 | 8 | |
| 13 | 2006 | 10 | |
| 14 | 2005 | 72 | |
| 15 | 2005 | 13 | |
| 16 | 2004 | 6 | |
| 17 | 2004 | 8 | |
| 18 | 2004 | 12 | |
| 19 | 2003 | 3 | |
| 20 | 2002 | 3 |
About A. Bramanti
A. Bramanti is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Computational Theory and Mathematics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 381 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (14 papers), Force Microscopy Techniques and Applications (11 papers), Advanced Memory and Neural Computing (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Neuroscience and Neural Engineering (4 papers), Nanofabrication and Lithography Techniques (4 papers), CCD and CMOS Imaging Sensors (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (73 citations), Electrochemistry (28 citations), Electrical and Electronic Engineering (229 citations), Atomic and Molecular Physics, and Optics (95 citations) and Biomedical Engineering (123 citations). A. Bramanti has collaborated with scholars based in Italy, Switzerland and Czechia. Frequent co-authors include Giuseppe Maruccio, R. Rinaldi, R. Cingolani, Paolo Visconti, Pier Paolo Pompa, Rosa Di Felice, Stefano Corni, Marco Cereda, M. Gottardi and Franco Calabi. Their work appears in journals such as Sensors, Materials Science and Engineering C, The Journal of Chemical Physics, Nanomaterials and Nanoscale.
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.