Martin Mächler

17 papers and 60.8k indexed citations i.

About

Martin Mächler is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Martin Mächler has authored 17 papers receiving a total of 60.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 3 papers in Finance. Recurrent topics in Martin Mächler’s work include Data Analysis with R (6 papers), Advanced Statistical Methods and Models (3 papers) and Bayesian Methods and Mixture Models (3 papers). Martin Mächler is often cited by papers focused on Data Analysis with R (6 papers), Advanced Statistical Methods and Models (3 papers) and Bayesian Methods and Mixture Models (3 papers). Martin Mächler collaborates with scholars based in Switzerland, Canada and United States. Martin Mächler's co-authors include Douglas M. Bates, Steve Walker, Benjamin M. Bolker, Anders Nielsen, James S. Hans, M. Brooks, Casper Willestofte Berg, Koen J. van Benthem, Árni Magnússon and Kasper Kristensen and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and Journal of Statistical Software.

In The Last Decade

Co-authorship network of co-authors of Martin Mächler i

Fields of papers citing papers by Martin Mächler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Mächler

Since Specialization
Citations

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