Giovanni Agosta
- Artificial Intelligence top 5%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Gerardo PelosiAlessandro BarenghiAndrea Di BiagioMaurizio MongelliLuigi PomanteDajana CassioliPierluigi PieriniTimo Sukuvaara
- Topics
- Parallel Computing and Optimization Techniques (43 papers)Cryptographic Implementations and Security (23 papers)Security and Verification in Computing (20 papers)
- Partner nations
- ItalyNorwaySwitzerland
In The Last Decade
Giovanni Agosta
85 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 412
- Hardware and Architecture 377
- Electrical and Electronic Engineering 232
- Computer Networks and Communications 209
- Signal Processing 173
Countries citing papers authored by Giovanni Agosta
This map shows the geographic impact of Giovanni Agosta'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 Giovanni Agosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Agosta more than expected).
Fields of papers citing papers by Giovanni Agosta
This network shows the impact of papers produced by Giovanni Agosta. 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 Giovanni Agosta. The network helps show where Giovanni Agosta may publish in the future.
Co-authorship network of co-authors of Giovanni Agosta
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Agosta. A scholar is included among the top collaborators of Giovanni Agosta 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 Giovanni Agosta. Giovanni Agosta 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | Exploiting bit-level parallelism in GPGPUs: A case study on KeeLoq exhaustive key search attack | 1 |
| 14 | 47 | |
| 15 | Parallelism and Retargetability in the ILDJIT Dynamic Compiler | 0 |
| 16 | Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring | 2 |
| 17 | 13 | |
| 18 | 1 | |
| 19 | Synthesis of Object Oriented Models on Reconfigurable Hardware | 0 |
| 20 | Aspect Orientation in System Level Design. | 2 |
About Giovanni Agosta
Giovanni Agosta is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 95 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (43 papers), Cryptographic Implementations and Security (23 papers) and Security and Verification in Computing (20 papers). The work is most often cited by research in Hardware and Architecture (377 citations), Signal Processing (173 citations) and Software (52 citations). Giovanni Agosta has collaborated with scholars based in Italy, Norway and Switzerland. Frequent co-authors include Gerardo Pelosi, Alessandro Barenghi, Andrea Di Biagio, Maurizio Mongelli, Luigi Pomante, Dajana Cassioli, Pierluigi Pierini, Timo Sukuvaara, Daria Stepanova and Jing Xie. Their work appears in journals such as IEEE Access, Sensors and ACM Computing Surveys.
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.