Eleni Sgouritsa

About

Eleni Sgouritsa is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Eleni Sgouritsa has authored 5 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Statistics and Probability. Recurrent topics in Eleni Sgouritsa’s work include Bayesian Modeling and Causal Inference (3 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Blind Source Separation Techniques (1 paper). Eleni Sgouritsa is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Blind Source Separation Techniques (1 paper). Eleni Sgouritsa collaborates with scholars based in Germany, United States and The Netherlands. Eleni Sgouritsa's co-authors include Dominik Janzing, Jonas Peters, Kun Zhang, Joris M. Mooij, Bernhard Sch lkopf, Bernhard Schölkopf, Philipp Hennig, Samory Kpotufe, Bernhard Schoelkopf and Oliver Stegle and has published in prestigious journals such as International Conference on Machine Learning, International Conference on Artificial Intelligence and Statistics and Uncertainty in Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Eleni Sgouritsa i

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Fields of papers citing papers by Eleni Sgouritsa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eleni Sgouritsa

Since Specialization

Citations

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