Eyal Amir

58 papers and 810 indexed citations i.

About

Eyal Amir is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Eyal Amir has authored 58 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Computational Theory and Mathematics. Recurrent topics in Eyal Amir’s work include Logic, Reasoning, and Knowledge (27 papers), Semantic Web and Ontologies (17 papers) and Bayesian Modeling and Causal Inference (15 papers). Eyal Amir is often cited by papers focused on Logic, Reasoning, and Knowledge (27 papers), Semantic Web and Ontologies (17 papers) and Bayesian Modeling and Causal Inference (15 papers). Eyal Amir collaborates with scholars based in United States, Canada and United Kingdom. Eyal Amir's co-authors include Sheila A. McIlraith, Jaesik Choi, David Hill, Barbara E. Engelhardt, Dafna Shahaf, Keith Frankish, Barbara Minsker, Stuart Russell, Albert J. Valocchi and Tianfang Xu and has published in prestigious journals such as Water Resources Research, Artificial Intelligence and Perspectives on Psychological Science.

In The Last Decade

Co-authorship network of co-authors of Eyal Amir i

Fields of papers citing papers by Eyal Amir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eyal Amir. 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 Eyal Amir. The network helps show where Eyal Amir may publish in the future.

Countries citing papers authored by Eyal Amir

Since Specialization
Citations

This map shows the geographic impact of Eyal Amir'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 Eyal Amir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyal Amir 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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2025