Yuval Nardi

About

Yuval Nardi is a scholar working on Artificial Intelligence, Statistics and Probability and Surgery. According to data from OpenAlex, Yuval Nardi has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 3 papers in Surgery. Recurrent topics in Yuval Nardi’s work include Statistical Methods and Inference (4 papers), Cryptography and Data Security (3 papers) and Bayesian Methods and Mixture Models (3 papers). Yuval Nardi is often cited by papers focused on Statistical Methods and Inference (4 papers), Cryptography and Data Security (3 papers) and Bayesian Methods and Mixture Models (3 papers). Yuval Nardi collaborates with scholars based in Israel and United States. Yuval Nardi's co-authors include Alessandro Rinaldo, Rob Hall, Stephen E. Fienberg, Moshe Garty, Eytan Cohen, Elad Goldberg, Ilan Krause, Irit Krause, Gai Milo and Aleksandra Slavković and has published in prestigious journals such as The Annals of Statistics, IBM Journal of Research and Development and American Journal of Reproductive Immunology.

In The Last Decade

Co-authorship network of co-authors of Yuval Nardi i

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Fields of papers citing papers by Yuval Nardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuval Nardi

Since Specialization

Citations

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