Marco Annaratone
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Co-authors
- H. T. KungMonica S. LamE. ArnouldJon A. WebbO. MenzilciogluThomas GroßWolfgang FichtnerR. Stefanelli
- Topics
- Parallel Computing and Optimization Techniques (16 papers)Interconnection Networks and Systems (12 papers)Distributed and Parallel Computing Systems (10 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputational Theory and Mathematics
- Journals
- Physics ReportsIEEE Transactions on ComputersSIAM Journal on Scientific and Statistical Computing
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Marco Annaratone
24 papers receiving 417 citations
Peers
Comparison fields: 5 of 49
- Hardware and Architecture 306
- Computer Networks and Communications 264
- Electrical and Electronic Engineering 151
- Artificial Intelligence 86
- Computational Theory and Mathematics 68
Countries citing papers authored by Marco Annaratone
This map shows the geographic impact of Marco Annaratone'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 Marco Annaratone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Annaratone more than expected).
Fields of papers citing papers by Marco Annaratone
This network shows the impact of papers produced by Marco Annaratone. 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 Marco Annaratone. The network helps show where Marco Annaratone may publish in the future.
Co-authorship network of co-authors of Marco Annaratone
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Annaratone. A scholar is included among the top collaborators of Marco Annaratone 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 Marco Annaratone. Marco Annaratone 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 | 5 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 24 | |
| 15 | Applications and Algorithm Partitioning on Warp. | 10 |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 0 |
About Marco Annaratone
Marco Annaratone is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 32 papers that have together received 497 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Interconnection Networks and Systems (12 papers) and Distributed and Parallel Computing Systems (10 papers). The work is most often cited by research in Hardware and Architecture (306 citations), Computer Networks and Communications (264 citations) and Computational Theory and Mathematics (68 citations). Marco Annaratone has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include H. T. Kung, Monica S. Lam, E. Arnould, Jon A. Webb, O. Menzilcioglu, Thomas Groß, Wolfgang Fichtner, R. Stefanelli, Marc A. Viredaz and Kiyoshi Nakabayashi. Their work appears in journals such as Physics Reports, IEEE Transactions on Computers and SIAM Journal on Scientific and Statistical 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.