Martin Huber

137 papers and 1.9k indexed citations i.

About

Martin Huber is a scholar working on Statistics and Probability, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Martin Huber has authored 137 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistics and Probability, 36 papers in Economics and Econometrics and 14 papers in Sociology and Political Science. Recurrent topics in Martin Huber’s work include Advanced Causal Inference Techniques (49 papers), Statistical Methods and Inference (31 papers) and Statistical Methods and Bayesian Inference (20 papers). Martin Huber is often cited by papers focused on Advanced Causal Inference Techniques (49 papers), Statistical Methods and Inference (31 papers) and Statistical Methods and Bayesian Inference (20 papers). Martin Huber collaborates with scholars based in Switzerland, Germany and United States. Martin Huber's co-authors include Michael Lechner, Conny Wunsch, Markus Frölich, Andreas Steinmayr, Lukáš Lafférs, Henrika Langen, Elena Denisova–Schmidt, William K. Murphy, Frank V. Fossella and Steven E. Benner and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Martin Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Huber

Since Specialization
Citations

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