Holger Höfling

2.2k citations
4 papers · 1.3k indexed · 1 hit paper · h-index 3
Topics
Statistical Methods and Inference (3 papers)Statistical Methods and Bayesian Inference (1 paper)Sparse and Compressive Sensing Techniques (1 paper)
Partner nations
United States

In The Last Decade

Holger Höfling

4 papers receiving 1.3k citations

Hit Papers

Pathwise coordinate optimization200720262013201920074008001.2k

Peers

Holger Höfling
Comparison fields: 5 of 115
  • Statistics and Probability 511
  • Computational Mechanics 364
  • Artificial Intelligence 341
  • Molecular Biology 225
  • Computer Vision and Pattern Recognition 222
Replace Onureena Banerjee with:
Onureena Banerjee United States
Ding Zhou China
Andrea Caponnetto Italy
Rahul Mazumder United States
Yiyuan She United States
Alain Berlinet France
Ingo Steinwart United States
George Kimeldorf United States
Holger Höfling relative to Onureena Banerjee United States Onureena Banerjee's profile →
Citations per field
00.5×2.8×
Onureena Banerjee · 1×
Citations per year

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
#WorkIndexed citations
1
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods.
62
2 20
3 2
4
Pathwise coordinate optimizationbreakdown →
1230

About Holger Höfling

Holger Höfling is a scholar working on Statistics and Probability, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Statistics and Probability (511 citations), Computational Mechanics (364 citations) and Computational Mathematics (8 citations). Holger Höfling has collaborated with scholars based in United States. Frequent co-authors include Robert Tibshirani, Trevor Hastie, Jerome H. Friedman and L. H. Wasserman. Their work appears in journals such as The Annals of Applied Statistics and PubMed.

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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