Hölger Hoefling
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
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- Balance, Gait, and Falls Prevention
Papers in
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- Balance, Gait, and Falls Prevention 4
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- Digital Imaging for Blood Diseases 1
- Context-Aware Activity Recognition Systems 1
- Co-authors
- Ryan J. Tibshirani (1 shared paper)Robert Tibshirani (1 shared paper)Arne Mueller (4 shared papers)Ieuan Clay (4 shared papers)Matthias Schieker (3 shared papers)Wolfgang Böcker (2 shared papers)Alexander Martin Keppler (2 shared papers)Julian Fürmetz (2 shared papers)
- Journals
- Toxicologic Pathology (2 papers)Annals of Clinical and Translational Neurology (1 paper)PLoS ONE (1 paper)Journal of Computational and Graphical Statistics (1 paper)JMIR mhealth and uhealth (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Hölger Hoefling
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 81
- Physical Therapy, Sports Therapy and Rehabilitation 30
- Geriatrics and Gerontology 10
- Computational Mechanics 61
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Hölger Hoefling
This map shows the geographic impact of Hölger Hoefling'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 Hölger Hoefling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hölger Hoefling more than expected).
Fields of papers citing papers by Hölger Hoefling
This network shows the impact of papers produced by Hölger Hoefling. 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 Hölger Hoefling. The network helps show where Hölger Hoefling may publish in the future.
Co-authors
The 25 scholars most cited alongside Hölger Hoefling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 132 | |
| 2 | 2011 | 56 | |
| 3 | 2019 | 40 | |
| 4 | 2019 | 29 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2014 | 13 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 5 |
About Hölger Hoefling
Hölger Hoefling is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability and Computational Mechanics, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (4 papers), Statistical Methods and Inference (3 papers), Sparse and Compressive Sensing Techniques (2 papers), AI in cancer detection (2 papers), Digital Imaging for Blood Diseases (1 paper), Advanced Causal Inference Techniques (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Statistics and Probability (81 citations), Physical Therapy, Sports Therapy and Rehabilitation (30 citations), Geriatrics and Gerontology (10 citations), Computational Mechanics (61 citations) and Computer Vision and Pattern Recognition (50 citations). Hölger Hoefling has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Ryan J. Tibshirani, Robert Tibshirani, Arne Mueller, Ieuan Clay, Matthias Schieker, Wolfgang Böcker, Alexander Martin Keppler, Julian Fürmetz, Jens Præstgaard and Daniel Rooks. Their work appears in journals such as Toxicologic Pathology, Annals of Clinical and Translational Neurology, PLoS ONE, Journal of Computational and Graphical Statistics and JMIR mhealth and uhealth.
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.