Samuel Pagliarini
- Electrical and Electronic Engineering
- Hardware and Architecture top 2%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Information Systems top 10%
- Co-authors
- Malik ImranFernanda Lima KastensmidtSujoy Sinha RoyAhmet Can MertAlmudena LindosoLuis EntrenaLawrence T. PileggiEnrique San Millán
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (22 papers)Integrated Circuits and Semiconductor Failure Analysis (20 papers)VLSI and Analog Circuit Testing (16 papers)
- Partner nations
- EstoniaUnited StatesBrazil
In The Last Decade
Samuel Pagliarini
53 papers receiving 445 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 306
- Hardware and Architecture 259
- Artificial Intelligence 156
- Cellular and Molecular Neuroscience 51
- Information Systems 49
Countries citing papers authored by Samuel Pagliarini
This map shows the geographic impact of Samuel Pagliarini'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 Samuel Pagliarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Pagliarini more than expected).
Fields of papers citing papers by Samuel Pagliarini
This network shows the impact of papers produced by Samuel Pagliarini. 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 Samuel Pagliarini. The network helps show where Samuel Pagliarini may publish in the future.
Co-authorship network of co-authors of Samuel Pagliarini
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Pagliarini. A scholar is included among the top collaborators of Samuel Pagliarini 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 Samuel Pagliarini. Samuel Pagliarini 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 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | SNaP: a Novel Hybrid Method for Circuit Reliability Assessment Under Multiple Faults | 3 |
| 18 | Exploring the Feasibility of Selective Hardening for Combinational Logic | 10 |
| 19 | 14 | |
| 20 | 2 |
About Samuel Pagliarini
Samuel Pagliarini is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Signal Processing, having authored 58 papers that have together received 459 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (22 papers), Integrated Circuits and Semiconductor Failure Analysis (20 papers) and VLSI and Analog Circuit Testing (16 papers). The work is most often cited by research in Hardware and Architecture (259 citations), Electrical and Electronic Engineering (306 citations) and Artificial Intelligence (156 citations). Samuel Pagliarini has collaborated with scholars based in Estonia, United States and Brazil. Frequent co-authors include Malik Imran, Fernanda Lima Kastensmidt, Sujoy Sinha Roy, Ahmet Can Mert, Almudena Lindoso, Luis Entrena, Lawrence T. Pileggi, Enrique San Millán, Zain Ul Abideen and J.-F. Naviner. Their work appears in journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.
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.