Mauro Bisson
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Parallel Computing and Optimization Techniques 11
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- Graph Theory and Algorithms 9
- Co-authors
- Massimiliano Fatica (18 shared papers)Massimo Bernaschi (22 shared papers)Simone Melchionna (6 shared papers)Sauro Succi (3 shared papers)D. Rossetti (3 shared papers)Everett Phillips (2 shared papers)Joshua Romero (1 shared paper)Toshio Endo (1 shared paper)
- Journals
- Computer Physics Communications (4 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)Journal of Parallel and Distributed Computing (2 papers)Communications in Computational Physics (2 papers)Physical Review Research (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Mauro Bisson
30 papers receiving 358 citations
Peers
Comparison fields: 5 of 65
- Hardware and Architecture 94
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 135
- Computer Networks and Communications 97
- Computational Mechanics 79
Countries citing papers authored by Mauro Bisson
This map shows the geographic impact of Mauro Bisson'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 Mauro Bisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Bisson more than expected).
Fields of papers citing papers by Mauro Bisson
This network shows the impact of papers produced by Mauro Bisson. 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 Mauro Bisson. The network helps show where Mauro Bisson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mauro Bisson, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 29 | |
| 2 | 2011 | 29 | |
| 3 | 2012 | 26 | |
| 4 | 2013 | 26 | |
| 5 | 2015 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2011 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2012 | 10 | |
| 14 | 2012 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2011 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2016 | 9 |
About Mauro Bisson
Mauro Bisson is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications, Condensed Matter Physics and Artificial Intelligence, having authored 31 papers that have together received 368 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Graph Theory and Algorithms (9 papers), Theoretical and Computational Physics (7 papers), Advanced Data Storage Technologies (5 papers), Lattice Boltzmann Simulation Studies (4 papers), Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (3 papers) and Stochastic processes and statistical mechanics (2 papers). The work is most often cited by research in Hardware and Architecture (94 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (135 citations), Computer Networks and Communications (97 citations) and Computational Mechanics (79 citations). Mauro Bisson has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Massimiliano Fatica, Massimo Bernaschi, Simone Melchionna, Sauro Succi, D. Rossetti, Everett Phillips, Joshua Romero, Toshio Endo, Satoshi Matsuoka and Carlo Janna. Their work appears in journals such as Computer Physics Communications, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Communications in Computational Physics and Physical Review Research.
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.