Igor Siveroni
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- Physical Unclonable Functions (PUFs) and Hardware Security 2
- Parallel Computing and Optimization Techniques 2
- Software 2
- Co-authors
- Erik Volz (3 shared papers)Andrea Zisman (3 shared papers)George Spanoudakis (3 shared papers)Mitchell Wand (1 shared paper)Xavier Didelot (1 shared paper)Fabrícia F. Nascimento (1 shared paper)René Rydhof Hansen (1 shared paper)Anne Cori (1 shared paper)
- Journals
- The Journal of Logic and Algebraic Programming (2 papers)IEEE Transactions on Software Engineering (1 paper)PLoS Computational Biology (1 paper)Molecular Biology and Evolution (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Igor Siveroni
11 papers receiving 169 citations
Peers
Comparison fields: 5 of 54
- Modeling and Simulation 32
- Software 19
- Artificial Intelligence 73
- Infectious Diseases 42
- Computational Theory and Mathematics 33
Countries citing papers authored by Igor Siveroni
This map shows the geographic impact of Igor Siveroni'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 Igor Siveroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Siveroni more than expected).
Fields of papers citing papers by Igor Siveroni
This network shows the impact of papers produced by Igor Siveroni. 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 Igor Siveroni. The network helps show where Igor Siveroni may publish in the future.
Co-authors
The 23 scholars most cited alongside Igor Siveroni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 42 | |
| 2 | 2012 | 24 | |
| 3 | 1999 | 24 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 19 | |
| 6 | 2009 | 14 | |
| 7 | 2008 | 13 | |
| 8 | 2003 | 12 | |
| 9 | 2007 | 3 | |
| 10 | 2006 | 1 | |
| 11 | 2005 | 1 | |
| 12 | 2005 | 1 |
About Igor Siveroni
Igor Siveroni is a scholar working on Hardware and Architecture, Software, Computational Theory and Mathematics, Ecological Modeling and Artificial Intelligence, having authored 12 papers that have together received 177 indexed citations. Recurring topics across this work include Formal Methods in Verification (4 papers), Security and Verification in Computing (4 papers), Logic, programming, and type systems (2 papers), Advanced Malware Detection Techniques (2 papers), Distributed systems and fault tolerance (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Genomics and Phylogenetic Studies (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (32 citations), Software (19 citations), Artificial Intelligence (73 citations), Infectious Diseases (42 citations) and Computational Theory and Mathematics (33 citations). Igor Siveroni has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Erik Volz, Andrea Zisman, George Spanoudakis, Mitchell Wand, Xavier Didelot, Fabrícia F. Nascimento, René Rydhof Hansen, Anne Cori, Manon Ragonnet‐Cronin and David Jorgensen. Their work appears in journals such as The Journal of Logic and Algebraic Programming, IEEE Transactions on Software Engineering, PLoS Computational Biology, Molecular Biology and Evolution and Nature Communications.
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.