Michele Rosso
Impact in
- Computational Mechanics top 10%
- Computational Fluid Dynamics and Aerodynamics
- Lattice Boltzmann Simulation Studies
- Advanced Numerical Methods in Computational Mathematics
- Combustion and flame dynamics
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Advanced Data Compression Techniques 6
- Co-authors
- Andrew MyersJohn B. BellAnn AlmgrenWeiqun ZhangJohannes BlaschkeKevin GottAndrew NonakaM. Zingale
- Journals
- IEEE Transactions on Signal Processing (1 paper)The International Journal of High Performance Computing Applications (1 paper)Speech Communication (1 paper)International Conference on Acoustics, Speech, and Signal Processing (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Michele Rosso
8 papers receiving 323 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Computational Mechanics 143
- Hardware and Architecture 31
- Nuclear and High Energy Physics 49
- Computer Graphics and Computer-Aided Design 13
- Astronomy and Astrophysics 46
Countries citing papers authored by Michele Rosso
This map shows the geographic impact of Michele Rosso'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 Michele Rosso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Rosso more than expected).
Fields of papers citing papers by Michele Rosso
This network shows the impact of papers produced by Michele Rosso. 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 Michele Rosso. The network helps show where Michele Rosso may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Michele Rosso, 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 | 2021 | 23 | |
| 2 | 2019 | 2 | |
| 3 | AMReX: a framework for block-structured adaptive mesh refinement Hit paper breakdown → | 2019 | 287 |
| 4 | 2003 | 8 | |
| 5 | 2003 | 9 | |
| 6 | 2003 | 0 | |
| 7 | 2002 | 2 | |
| 8 | 1992 | 2 | |
| 9 | 1988 | 7 |
About Michele Rosso
Michele Rosso is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 9 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Advanced Wireless Communication Techniques (6 papers), Wireless Communication Networks Research (3 papers), Advanced Adaptive Filtering Techniques (2 papers), Mathematics, Computing, and Information Processing (1 paper), Mineral Processing and Grinding (1 paper), CO2 Sequestration and Geologic Interactions (1 paper) and Granular flow and fluidized beds (1 paper). The work is most often cited by research in Computational Mechanics (143 citations), Hardware and Architecture (31 citations), Nuclear and High Energy Physics (49 citations), Computer Graphics and Computer-Aided Design (13 citations) and Astronomy and Astrophysics (46 citations). Michele Rosso has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Andrew Myers, John B. Bell, Ann Almgren, Weiqun Zhang, Johannes Blaschke, Kevin Gott, Andrew Nonaka, M. Zingale, Daniel Graves and Marc Day. Their work appears in journals such as IEEE Transactions on Signal Processing, The International Journal of High Performance Computing Applications, Speech Communication, International Conference on Acoustics, Speech, and Signal Processing and Zenodo (CERN European Organization for Nuclear 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.