Lorenzo Martignoni
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Software top 1%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Danilo BruschiRoberto PaleariGiampaolo Fresi RogliaSomesh JhaMihai ChristodorescuDawn SongStephen McCamantMattia Monga
- Topics
- Software Testing and Debugging Techniques (13 papers)Advanced Malware Detection Techniques (11 papers)Security and Verification in Computing (9 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Software Engineering and MethodologyIEEE Security & Privacy
- Partner nations
- ItalyUnited StatesIsrael
In The Last Decade
Lorenzo Martignoni
17 papers receiving 674 citations
Peers
Comparison fields: 5 of 27
- Signal Processing 573
- Artificial Intelligence 358
- Software 344
- Information Systems 290
- Computer Networks and Communications 280
Countries citing papers authored by Lorenzo Martignoni
This map shows the geographic impact of Lorenzo Martignoni'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 Lorenzo Martignoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Martignoni more than expected).
Fields of papers citing papers by Lorenzo Martignoni
This network shows the impact of papers produced by Lorenzo Martignoni. 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 Lorenzo Martignoni. The network helps show where Lorenzo Martignoni may publish in the future.
Co-authorship network of co-authors of Lorenzo Martignoni
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Martignoni. A scholar is included among the top collaborators of Lorenzo Martignoni 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 Lorenzo Martignoni. Lorenzo Martignoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Cloud terminal: secure access to sensitive applications from untrusted systems | 23 |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 55 | |
| 6 | 83 | |
| 7 | 12 | |
| 8 | 43 | |
| 9 | 20 | |
| 10 | A fistful of red-pills: how to automatically generate procedures to detect CPU emulators | 66 |
| 11 | 85 | |
| 12 | 76 | |
| 13 | 136 | |
| 14 | 20 | |
| 15 | 58 | |
| 16 | 13 | |
| 17 | Using code normalization for fighting self-mutating malware | 36 |
About Lorenzo Martignoni
Lorenzo Martignoni is a scholar working on Software, Signal Processing and Hardware and Architecture, having authored 17 papers that have together received 750 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (13 papers), Advanced Malware Detection Techniques (11 papers) and Security and Verification in Computing (9 papers). The work is most often cited by research in Software (344 citations), Signal Processing (573 citations) and Hardware and Architecture (106 citations). Lorenzo Martignoni has collaborated with scholars based in Italy, United States and Israel. Frequent co-authors include Danilo Bruschi, Roberto Paleari, Giampaolo Fresi Roglia, Somesh Jha, Mihai Christodorescu, Dawn Song, Stephen McCamant, Mattia Monga, Domagoj Babić and Pongsin Poosankam. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology and IEEE Security & Privacy.
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.