Andrea Rosà
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Software top 10%
- Co-authors
- Walter BinderLydia Y. ChenAleksandar ProkopecLubomír BulejAlex VillazónYudi ZhengGilles DuboscqDoug Simon
- Topics
- Parallel Computing and Optimization Techniques (21 papers)Cloud Computing and Resource Management (20 papers)Software System Performance and Reliability (20 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Programming Languages and SystemsIEEE Transactions on Services Computing
- Partner nations
- SwitzerlandBoliviaUnited States
In The Last Decade
Andrea Rosà
41 papers receiving 304 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 239
- Information Systems 208
- Hardware and Architecture 98
- Artificial Intelligence 70
- Software 50
Countries citing papers authored by Andrea Rosà
This map shows the geographic impact of Andrea Rosà'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 Andrea Rosà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Rosà more than expected).
Fields of papers citing papers by Andrea Rosà
This network shows the impact of papers produced by Andrea Rosà. 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 Andrea Rosà. The network helps show where Andrea Rosà may publish in the future.
Co-authorship network of co-authors of Andrea Rosà
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Rosà. A scholar is included among the top collaborators of Andrea Rosà based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Rosà. Andrea Rosà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 68 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 40 | |
| 19 | 22 | |
| 20 | 7 |
About Andrea Rosà
Andrea Rosà is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 46 papers that have together received 318 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Cloud Computing and Resource Management (20 papers) and Software System Performance and Reliability (20 papers). The work is most often cited by research in Hardware and Architecture (98 citations), Software (50 citations) and Computer Networks and Communications (239 citations). Andrea Rosà has collaborated with scholars based in Switzerland, Bolivia and United States. Frequent co-authors include Walter Binder, Lydia Y. Chen, Aleksandar Prokopec, Lubomír Bulej, Alex Villazón, Yudi Zheng, Gilles Duboscq, Doug Simon, Petr Tůma and Thomas Würthinger. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and IEEE Transactions on Services Computing.
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.