Igor Siveroni
Impact in
- Software top 10%
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Security and Verification in Computing 4
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- Parallel Computing and Optimization Techniques 2
- Physical Unclonable Functions (PUFs) and Hardware Security 2
- Co-authors
- Erik Volz (3 shared papers)Mitchell Wand (1 shared paper)Andrea Zisman (3 shared papers)George Spanoudakis (3 shared papers)Xavier Didelot (1 shared paper)Chris Hankin (2 shared papers)Oliver J. Watson (1 shared paper)Olivia Boyd (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)Requirements Engineering (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Igor Siveroni
11 papers receiving 214 citations
Peers
Comparison fields: 5 of 55
- Software 30
- Modeling and Simulation 31
- Computational Theory and Mathematics 55
- Artificial Intelligence 107
- Hardware and Architecture 18
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 | 46 | |
| 2 | 1999 | 38 | |
| 3 | 2012 | 28 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 23 | |
| 6 | 2003 | 21 | |
| 7 | 2008 | 19 | |
| 8 | 2009 | 17 | |
| 9 | 2007 | 5 | |
| 10 | 2005 | 2 | |
| 11 | 2006 | 1 | |
| 12 | 2005 | 1 |
About Igor Siveroni
Igor Siveroni is a scholar working on Artificial Intelligence, Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications and Molecular Biology, having authored 12 papers that have together received 224 indexed citations. Recurring topics across this work include Formal Methods in Verification (4 papers), Security and Verification in Computing (4 papers), Parallel Computing and Optimization Techniques (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers), Data Quality and Management (2 papers), Genomics and Phylogenetic Studies (2 papers), Distributed systems and fault tolerance (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Software (30 citations), Modeling and Simulation (31 citations), Computational Theory and Mathematics (55 citations), Artificial Intelligence (107 citations) and Hardware and Architecture (18 citations). Igor Siveroni has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Erik Volz, Mitchell Wand, Andrea Zisman, George Spanoudakis, Xavier Didelot, Chris Hankin, Oliver J. Watson, Olivia Boyd, Christl A. Donnelly and Lily Geidelberg. 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 Requirements Engineering.
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.