Igor Siveroni

14.3k total citations
12 papers, 177 citations indexed

About

Igor Siveroni is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Igor Siveroni has authored 12 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Hardware and Architecture and 4 papers in Computational Theory and Mathematics. Recurrent topics in Igor Siveroni's work include Security and Verification in Computing (4 papers), Formal Methods in Verification (4 papers) and Parallel Computing and Optimization Techniques (2 papers). Igor Siveroni is often cited by papers focused on Security and Verification in Computing (4 papers), Formal Methods in Verification (4 papers) and Parallel Computing and Optimization Techniques (2 papers). Igor Siveroni collaborates with scholars based in United Kingdom, United States and Italy. Igor Siveroni's co-authors include Erik Volz, Andrea Zisman, George Spanoudakis, Mitchell Wand, Xavier Didelot, Zulma M. Cucunubá, Anne Cori, Lily Geidelberg, Oliver J. Watson and Olivia Boyd and has published in prestigious journals such as Nature Communications, Molecular Biology and Evolution and IEEE Transactions on Software Engineering.

In The Last Decade

Igor Siveroni

11 papers receiving 169 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Igor Siveroni United Kingdom 8 73 42 36 33 33 12 177
Zhengxin Huang China 12 106 1.5× 11 0.3× 11 0.3× 78 2.4× 32 1.0× 33 304
Jessica Enright United Kingdom 10 65 0.9× 47 1.1× 38 1.1× 22 0.7× 12 0.4× 29 343
Balaji Krishnamurthy United States 7 32 0.4× 38 0.9× 9 0.3× 32 1.0× 13 0.4× 19 201
Solon Carvalho Brazil 10 32 0.4× 16 0.4× 17 0.5× 23 0.7× 6 0.2× 33 319
Srijan Sengupta United States 9 86 1.2× 20 0.5× 28 0.8× 7 0.2× 42 1.3× 33 361
Paolo Ballarini Italy 11 37 0.5× 36 0.9× 24 0.7× 86 2.6× 15 0.5× 29 343
Swarup Roy India 12 61 0.8× 63 1.5× 80 2.2× 70 2.1× 7 0.2× 57 465
Ping Yan China 9 66 0.9× 29 0.7× 38 1.1× 18 0.5× 9 0.3× 41 268
Dhananjai M. Rao United States 11 16 0.2× 10 0.2× 22 0.6× 34 1.0× 9 0.3× 42 344
Wuqiong Luo Singapore 8 85 1.2× 19 0.5× 46 1.3× 19 0.6× 3 0.1× 15 425

Countries citing papers authored by Igor Siveroni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Igor Siveroni

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Siveroni. A scholar is included among the top collaborators of Igor Siveroni 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 Igor Siveroni. Igor Siveroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ragonnet‐Cronin, Manon, Olivia Boyd, Lily Geidelberg, et al.. (2021). Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions. Nature Communications. 12(1). 2188–2188. 23 indexed citations
2.
Didelot, Xavier, Igor Siveroni, & Erik Volz. (2020). Additive Uncorrelated Relaxed Clock Models for the Dating of Genomic Epidemiology Phylogenies. Molecular Biology and Evolution. 38(1). 307–317. 19 indexed citations
3.
Volz, Erik & Igor Siveroni. (2018). Bayesian phylodynamic inference with complex models. PLoS Computational Biology. 14(11). e1006546–e1006546. 42 indexed citations
4.
Zisman, Andrea, et al.. (2012). Proactive and Reactive Runtime Service Discovery: A Framework and Its Evaluation. IEEE Transactions on Software Engineering. 39(7). 954–974. 24 indexed citations
5.
Siveroni, Igor, Andrea Zisman, & George Spanoudakis. (2009). A UML-based static verification framework for security. Requirements Engineering. 15(1). 95–118. 14 indexed citations
6.
Siveroni, Igor, Andrea Zisman, & George Spanoudakis. (2008). Property Specification and Static Verification of UML Models. 1723. 96–103. 13 indexed citations
7.
Pierro, Alessandra Di, Chris Hankin, Igor Siveroni, & Herbert Wiklicky. (2007). Tempus fugit: How to plug it. The Journal of Logic and Algebraic Programming. 72(2). 173–190. 3 indexed citations
8.
Siveroni, Igor. (2006). Filling Out the Gaps: A Padding Algorithm for Transforming Out Timing Leaks. Electronic Notes in Theoretical Computer Science. 153(2). 241–257. 1 indexed citations
9.
Hansen, René Rydhof & Igor Siveroni. (2005). Towards Verification of Well-Formed Transactions in Java Card Bytecode. Electronic Notes in Theoretical Computer Science. 141(1). 145–162. 1 indexed citations
10.
Hankin, Chris & Igor Siveroni. (2005). Static Analysis: 12th International Symposium, SAS 2005, London, UK, September 7-9, 2005, Proceedings. Medical Entomology and Zoology. 1 indexed citations
11.
Siveroni, Igor. (2003). Operational semantics of the Java Card Virtual Machine. The Journal of Logic and Algebraic Programming. 58(1-2). 3–25. 12 indexed citations
12.
Wand, Mitchell & Igor Siveroni. (1999). Constraint systems for useless variable elimination. 291–302. 24 indexed citations

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.

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