Holger Höfling

2.2k total citations · 1 hit paper
4 papers, 1.3k citations indexed

About

Holger Höfling is a scholar working on Statistics and Probability, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Holger Höfling has authored 4 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Holger Höfling's work include Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Holger Höfling is often cited by papers focused on Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Holger Höfling collaborates with scholars based in United States. Holger Höfling's co-authors include Robert Tibshirani, Trevor Hastie, Jerome H. Friedman and L. H. Wasserman and has published in prestigious journals such as The Annals of Applied Statistics and PubMed.

In The Last Decade

Holger Höfling

4 papers receiving 1.3k citations

Hit Papers

Pathwise coordinate optimization 2007 2026 2013 2019 2007 400 800 1.2k

Peers

Holger Höfling
Rahul Mazumder United States
Chenlei Leng Singapore
Yiyuan She United States
Alessandro Rinaldo United States
Onureena Banerjee United States
Rahul Mazumder United States
Holger Höfling
Citations per year, relative to Holger Höfling Holger Höfling (= 1×) peers Rahul Mazumder

Countries citing papers authored by Holger Höfling

Since Specialization
Citations

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

Fields of papers citing papers by Holger Höfling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Höfling

This figure shows the co-authorship network connecting the top 25 collaborators of Holger Höfling. A scholar is included among the top collaborators of Holger Höfling 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 Holger Höfling. Holger Höfling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Höfling, Holger & Robert Tibshirani. (2009). Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods.. PubMed. 10. 883–906. 62 indexed citations
2.
Höfling, Holger & Robert Tibshirani. (2008). A study of pre-validation. The Annals of Applied Statistics. 2(2). 20 indexed citations
3.
Höfling, Holger & L. H. Wasserman. (2008). Discussion of: Statistical analysis of an archeological find. The Annals of Applied Statistics. 2(1). 2 indexed citations
4.
Friedman, Jerome H., Trevor Hastie, Holger Höfling, & Robert Tibshirani. (2007). Pathwise coordinate optimization. The Annals of Applied Statistics. 1(2). 1230 indexed citations breakdown →

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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