Francesco Barchi
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Memory and Neural Computing 19
- Ferroelectric and Negative Capacitance Devices 12
-
- Advanced Data Storage Technologies 4
- Co-authors
- Andrea Acquaviva (38 shared papers)Gianvito Urgese (14 shared papers)Enrico Macii (11 shared papers)Andrea Bartolini (22 shared papers)Elisa Ficarra (1 shared paper)Davide Brunelli (3 shared papers)Alessio Burrello (2 shared papers)Luca Benini (4 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (2 papers)IEEE Transactions on Emerging Topics in Computing (2 papers)Expert Systems with Applications (2 papers)Neurocomputing (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- ItalySwitzerlandUnited Arab Emirates
In The Last Decade
Francesco Barchi
34 papers receiving 203 citations
Peers
Comparison fields: 5 of 52
- Software 28
- Hardware and Architecture 37
- Medical Laboratory Technology 3
- Cognitive Neuroscience 38
- Information Systems 43
Countries citing papers authored by Francesco Barchi
This map shows the geographic impact of Francesco Barchi'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 Francesco Barchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Barchi more than expected).
Fields of papers citing papers by Francesco Barchi
This network shows the impact of papers produced by Francesco Barchi. 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 Francesco Barchi. The network helps show where Francesco Barchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesco Barchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 25 | |
| 2 | 2020 | 22 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 13 | |
| 5 | 2019 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2015 | 11 | |
| 8 | 2019 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2023 | 3 |
About Francesco Barchi
Francesco Barchi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence and Cognitive Neuroscience, having authored 41 papers that have together received 206 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Neural dynamics and brain function (8 papers), Parallel Computing and Optimization Techniques (7 papers), Neuroscience and Neural Engineering (6 papers), Advanced Neural Network Applications (5 papers), Advanced Data Storage Technologies (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (28 citations), Hardware and Architecture (37 citations), Medical Laboratory Technology (3 citations), Cognitive Neuroscience (38 citations) and Information Systems (43 citations). Francesco Barchi has collaborated with scholars based in Italy, Switzerland and United Arab Emirates. Frequent co-authors include Andrea Acquaviva, Gianvito Urgese, Enrico Macii, Andrea Bartolini, Elisa Ficarra, Davide Brunelli, Alessio Burrello, Luca Benini, Francesco Beneventi and Nicola Elia. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Transactions on Emerging Topics in Computing, Expert Systems with Applications, Neurocomputing and Data & Knowledge Engineering.
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.