Alexander Ivrii

12 papers and 91 indexed citations i.

About

Alexander Ivrii is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Alexander Ivrii has authored 12 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 2 papers in Mathematical Physics. Recurrent topics in Alexander Ivrii’s work include Bayesian Modeling and Causal Inference (5 papers), Formal Methods in Verification (4 papers) and Logic, Reasoning, and Knowledge (3 papers). Alexander Ivrii is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Formal Methods in Verification (4 papers) and Logic, Reasoning, and Knowledge (3 papers). Alexander Ivrii collaborates with scholars based in United States, United Kingdom and Israel. Alexander Ivrii's co-authors include Kuldeep S. Meel, Moshe Y. Vardi, Sharad Malik, Hana Chockler, Arie Matsliah, Georgios Dimitroglou Rizell, Gadi Aleksandrowicz, Joseph Y. Halpern, Richard Hind and Jason Baumgartner and has published in prestigious journals such as Nature Communications, Journal of Artificial Intelligence Research and Mathematische Zeitschrift.

In The Last Decade

Co-authorship network of co-authors of Alexander Ivrii i

Fields of papers citing papers by Alexander Ivrii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Alexander Ivrii

Since Specialization
Citations

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).

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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