Philipp Rütimann

426 total citations
5 papers, 280 citations indexed

About

Philipp Rütimann is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Philipp Rütimann has authored 5 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Philipp Rütimann's work include Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Philipp Rütimann is often cited by papers focused on Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). Philipp Rütimann collaborates with scholars based in Switzerland, United States and Germany. Philipp Rütimann's co-authors include Peter Bühlmann, Cun‐Hui Zhang, Sara van de Geer, Wilhelm Gruissem, Diana Coman, Min Xu, Shuheng Zhou, Manuel Rodríguez‐Concepción, Maite Colinas and Alexander Graf and has published in prestigious journals such as New Phytologist, Statistical Methods in Medical Research and Methods in molecular biology.

In The Last Decade

Philipp Rütimann

5 papers receiving 273 citations

Peers

Philipp Rütimann
Alberto Casagrande Italy
Jingdong Liu China
Alexandra M. Carvalho Portugal
Runhui Li China
Jakramate Bootkrajang Thailand
Subrata Saha United States
Wei‐Chen Chen United States
Yuanhui Yu China
Ofer Meshi United States
Yue Han China
Alberto Casagrande Italy
Philipp Rütimann
Citations per year, relative to Philipp Rütimann Philipp Rütimann (= 1×) peers Alberto Casagrande

Countries citing papers authored by Philipp Rütimann

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Rütimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Rütimann

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Rütimann. A scholar is included among the top collaborators of Philipp Rütimann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philipp Rütimann. Philipp Rütimann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Ruiz‐Sola, M. Águila, Diana Coman, M. Victoria Barja, et al.. (2015). Arabidopsis GERANYLGERANYL DIPHOSPHATE SYNTHASE 11 is a hub isozyme required for the production of most photosynthesis‐related isoprenoids. New Phytologist. 209(1). 252–264. 123 indexed citations
2.
Coman, Diana, Philipp Rütimann, & Wilhelm Gruissem. (2014). A Flexible Protocol for Targeted Gene Co-expression Network Analysis. Methods in molecular biology. 1153. 285–299. 7 indexed citations
3.
Bühlmann, Peter, Philipp Rütimann, Sara van de Geer, & Cun‐Hui Zhang. (2013). Correlated variables in regression: Clustering and sparse estimation. Journal of Statistical Planning and Inference. 143(11). 1835–1858. 99 indexed citations
4.
Bühlmann, Peter, Philipp Rütimann, & Markus Kalisch. (2011). Controlling false positive selections in high-dimensional regression and causal inference. Statistical Methods in Medical Research. 22(5). 466–492. 7 indexed citations
5.
Zhou, Shuheng, Philipp Rütimann, Min Xu, & Peter Bühlmann. (2010). High-dimensional covariance estimation based on Gaussian graphical models. arXiv (Cornell University). 12(91). 2975–3026. 44 indexed citations

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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2026