Alexander Ivrii
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Software top 5%
- Co-authors
- Hana ChocklerGadi AleksandrowiczJoseph Y. HalpernArie GurfinkelArie MatsliahSharad MalikKuldeep S. MeelMoshe Y. Vardi
- Topics
- Formal Methods in Verification (10 papers)Logic, programming, and type systems (4 papers)Software Testing and Debugging Techniques (4 papers)
- Journals
- Journal of Artificial Intelligence ResearchMathematische ZeitschriftGeometric and Functional Analysis
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Alexander Ivrii
19 papers receiving 461 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 268
- Computational Theory and Mathematics 113
- Computer Vision and Pattern Recognition 91
- Information Systems 80
- Software 70
Countries citing papers authored by Alexander Ivrii
This map shows the geographic impact of Alexander Ivrii'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 Alexander Ivrii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Ivrii more than expected).
Fields of papers citing papers by Alexander Ivrii
This network shows the impact of papers produced by Alexander Ivrii. 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 Alexander Ivrii. The network helps show where Alexander Ivrii may publish in the future.
Co-authorship network of co-authors of Alexander Ivrii
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Ivrii. A scholar is included among the top collaborators of Alexander Ivrii 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 Alexander Ivrii. Alexander Ivrii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | Constrained Sampling and Counting: Universal Hashing Meets SAT Solving | 15 |
| 10 | 14 | |
| 11 | 34 | |
| 12 | 3 | |
| 13 | Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligencebreakdown → | 298 |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | IC3-guided abstraction | 4 |
| 18 | 31 | |
| 19 | International Conference on Formal Methods in Computer-Aided Design, FMCAD 2011: | 14 |
| 20 | 4 |
About Alexander Ivrii
Alexander Ivrii is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture, having authored 21 papers that have together received 477 indexed citations. Recurring topics across this work include Formal Methods in Verification (10 papers), Logic, programming, and type systems (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (70 citations), Artificial Intelligence (268 citations) and Computational Theory and Mathematics (113 citations). Alexander Ivrii has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Hana Chockler, Gadi Aleksandrowicz, Joseph Y. Halpern, Arie Gurfinkel, Arie Matsliah, Sharad Malik, Kuldeep S. Meel, Moshe Y. Vardi, Ofer Strichman and Jason Baumgartner. Their work appears in journals such as Journal of Artificial Intelligence Research, Mathematische Zeitschrift and Geometric and Functional Analysis.
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.