Urszula Chajewska

About

Urszula Chajewska is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Urszula Chajewska has authored 11 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 2 papers in Signal Processing. Recurrent topics in Urszula Chajewska’s work include Bayesian Modeling and Causal Inference (7 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Statistical Methods and Inference (1 paper). Urszula Chajewska is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Statistical Methods and Inference (1 paper). Urszula Chajewska collaborates with scholars based in United States, United Kingdom and New Zealand. Urszula Chajewska's co-authors include Daphne Koller, Ronald Parr, Joseph Y. Halpern, Dirk Ormoneit, Lise Getoor, Yuval Shaḥar, Cheryl Clark, Rich Caruana, Paul Koch and Sarah Tan and has published in prestigious journals such as Journal of the American Medical Informatics Association, Acta Paediatrica and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Urszula Chajewska i

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Fields of papers citing papers by Urszula Chajewska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Urszula Chajewska

Since Specialization

Citations

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