Benjamin Hofner
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Advanced Statistical Methods and Models
- Orthodontics top 5%
- Dental materials and restorations
Papers in
-
- Statistical Methods and Inference 10
- Statistical Methods in Clinical Trials 7
- Statistical Methods and Bayesian Inference 6
- Genetics 6
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Matthias C. Schmid (10 shared papers)Andreas J. Mayr (10 shared papers)Thomas Kneib (8 shared papers)Torsten Hothorn (5 shared papers)Nikolay Robinzonov (1 shared paper)Luigi Boccuto (1 shared paper)Hans‐Peter Klenk (2 shared papers)Johannes Sikorski (2 shared papers)
- Journals
- Statistical Modelling (3 papers)European Heart Journal Acute Cardiovascular Care (2 papers)Trials (2 papers)BMC Bioinformatics (2 papers)Statistics and Computing (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Benjamin Hofner
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 168
- Statistics and Probability 432
- Orthodontics 90
- Microbiology 12
- General Dentistry 14
- Ecology 227
Countries citing papers authored by Benjamin Hofner
This map shows the geographic impact of Benjamin Hofner'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 Benjamin Hofner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Hofner more than expected).
Fields of papers citing papers by Benjamin Hofner
This network shows the impact of papers produced by Benjamin Hofner. 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 Benjamin Hofner. The network helps show where Benjamin Hofner may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Hofner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 197 | |
| 2 | 2013 | 192 | |
| 3 | 2012 | 114 | |
| 4 | 2015 | 113 | |
| 5 | 2015 | 111 | |
| 6 | 2011 | 72 | |
| 7 | 2012 | 71 | |
| 8 | 2020 | 67 | |
| 9 | 2017 | 55 | |
| 10 | 2017 | 55 | |
| 11 | 2016 | 54 | |
| 12 | 2020 | 52 | |
| 13 | 2020 | 51 | |
| 14 | 2011 | 48 | |
| 15 | 2012 | 47 | |
| 16 | 2014 | 39 | |
| 17 | 2011 | 37 | |
| 18 | 2018 | 34 | |
| 19 | 2018 | 32 | |
| 20 | 2014 | 32 |
About Benjamin Hofner
Benjamin Hofner is a scholar working on Statistics and Probability, Genetics, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Ecological Modeling, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Statistical Methods in Clinical Trials (7 papers), Statistical Methods and Bayesian Inference (6 papers), Sepsis Diagnosis and Treatment (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genomics and Phylogenetic Studies (3 papers), Machine Learning and Data Classification (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Statistics and Probability (432 citations), Orthodontics (90 citations), Microbiology (12 citations), General Dentistry (14 citations) and Ecology (227 citations). Benjamin Hofner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Matthias C. Schmid, Andreas J. Mayr, Thomas Kneib, Torsten Hothorn, Nikolay Robinzonov, Luigi Boccuto, Hans‐Peter Klenk, Johannes Sikorski, Anne Fiebig and Lea A. I. Vaas. Their work appears in journals such as Statistical Modelling, European Heart Journal Acute Cardiovascular Care, Trials, BMC Bioinformatics and Statistics and Computing.
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.