Urs Maag

36 papers and 774 indexed citations i.

About

Urs Maag is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Urs Maag has authored 36 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Safety, Risk, Reliability and Quality, 9 papers in Statistics and Probability and 5 papers in Artificial Intelligence. Recurrent topics in Urs Maag’s work include Analysis of Traffic Safety and Driver Behavior (12 papers), Bayesian Methods and Mixture Models (5 papers) and Older Adults Driving Studies (5 papers). Urs Maag is often cited by papers focused on Analysis of Traffic Safety and Driver Behavior (12 papers), Bayesian Methods and Mixture Models (5 papers) and Older Adults Driving Studies (5 papers). Urs Maag collaborates with scholars based in Canada, Switzerland and United States. Urs Maag's co-authors include Claire Laberge-Nadeau, Denise Desjardins, Dolores Pushkar, June Chaikelson, Tannis Y. Arbuckle, Georges Dionne, Robert Bourbeau, François Bellavance, Sophie D. Lapierre and R. Gold and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Diabetes Care.

In The Last Decade

Co-authorship network of co-authors of Urs Maag i

Fields of papers citing papers by Urs Maag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Urs Maag

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025