Benjamin Hofner

2.7k total citations
59 papers, 1.8k citations indexed

About

Benjamin Hofner is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Benjamin Hofner has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 11 papers in Molecular Biology and 9 papers in Artificial Intelligence. Recurrent topics in Benjamin Hofner's work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods in Clinical Trials (6 papers). Benjamin Hofner is often cited by papers focused on Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods in Clinical Trials (6 papers). Benjamin Hofner collaborates with scholars based in Germany, Switzerland and United States. Benjamin Hofner's co-authors include Matthias Schmid, Andreas Mayr, Thomas Kneib, Markus Göker, Torsten Hothorn, Nikolay Robinzonov, Luigi Boccuto, Johannes Sikorski, Hans‐Peter Klenk and Lea Vaas and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Benjamin Hofner

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Hofner Germany 25 413 357 228 192 110 59 1.8k
Elizabeth H. Slate United States 26 381 0.9× 406 1.1× 177 0.8× 68 0.4× 163 1.5× 93 3.0k
Carmén Cadarso-Suárez Spain 28 516 1.2× 244 0.7× 196 0.9× 78 0.4× 131 1.2× 130 3.3k
Peter B. Imrey United States 32 250 0.6× 257 0.7× 58 0.3× 49 0.3× 142 1.3× 116 3.6k
Jochen Kruppa Germany 22 99 0.2× 310 0.9× 281 1.2× 130 0.7× 189 1.7× 47 2.0k
M. J. Faddy Australia 38 448 1.1× 838 2.3× 234 1.0× 64 0.3× 507 4.6× 119 5.4k
Júlio M. Singer Brazil 26 555 1.3× 113 0.3× 164 0.7× 39 0.2× 62 0.6× 126 3.2k
Luisa Bernardinelli Italy 24 367 0.9× 278 0.8× 99 0.4× 36 0.2× 320 2.9× 96 2.6k
Liz Cheek United Kingdom 15 77 0.2× 258 0.7× 116 0.5× 120 0.6× 82 0.7× 29 2.9k
Thomas Hassard Canada 23 194 0.5× 79 0.2× 101 0.4× 83 0.4× 59 0.5× 42 3.8k
Viv Bewick United Kingdom 11 79 0.2× 256 0.7× 121 0.5× 79 0.4× 76 0.7× 14 2.5k

Countries citing papers authored by Benjamin Hofner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benjamin Hofner

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

All Works

20 of 20 papers shown
1.
Asikanius, Elina, Benjamin Hofner, Lisa V. Hampson, et al.. (2025). Clinical trials with interim analyses: standardizing terminology to increase clarity. Trials. 26(1). 247–247.
2.
Hees, Katharina, Franz König, Martin Posch, et al.. (2024). Regulatory Issues of Platform Trials: Learnings from EU‐PEARL. Clinical Pharmacology & Therapeutics. 116(1). 52–63. 7 indexed citations
3.
Hofner, Benjamin, Elina Asikanius, Wolfgang Jacquet, et al.. (2023). Vaccine Development during a Pandemic: General Lessons for Clinical Trial Design. Statistics in Biopharmaceutical Research. 16(2). 158–170. 3 indexed citations
4.
Mueller-Berghaus, Jan, Claire Beuneu, Benjamin Hofner, et al.. (2020). EMA Review of Axicabtagene Ciloleucel (Yescarta) for the Treatment of Diffuse Large B-Cell Lymphoma. The Oncologist. 25(10). 894–902. 47 indexed citations
5.
Loessner, Holger, Benjamin Hofner, Andreas Reuter, et al.. (2019). Optimizing the dynamics of protein expression. Scientific Reports. 9(1). 7511–7511. 23 indexed citations
6.
Rauch, Geraldine, Joachim Röhmel, Joachim Gerß, André Scherag, & Benjamin Hofner. (2019). Aktuelle Herausforderungen bei der Bewertung von Ethikanträgen – Aspekte der Digitalisierung und Personalisierung im Gesundheitswesen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 62(6). 758–764. 4 indexed citations
7.
Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, et al.. (2019). OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML. Zurich Open Repository and Archive (University of Zurich).
8.
Stelzer, Eva‐Maria, et al.. (2018). Bouldering psychotherapy reduces depressive symptoms even when general physical activity is controlled for: A randomized controlled trial. Heliyon. 4(3). e00580–e00580. 30 indexed citations
9.
Engel, S., et al.. (2016). „EduKation demenz®“. Zeitschrift für Gerontologie und Geriatrie. 49(3). 187–195. 6 indexed citations
10.
Mayr, Andreas, Benjamin Hofner, & Matthias Schmid. (2016). Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection. BMC Bioinformatics. 17(1). 288–288. 23 indexed citations
11.
Hofner, Benjamin, Matthias Schmid, & Andreas Mayr. (2012). The Importance of Knowing When to Stop. Methods of Information in Medicine. 51(2). 178–186. 63 indexed citations
12.
Luttenberger, Katharina, Benjamin Hofner, & Elmar Graessel. (2012). Are the effects of a non-drug multimodal activation therapy of dementia sustainable? Follow-up study 10 months after completion of a randomised controlled trial. BMC Neurology. 12(1). 151–151. 43 indexed citations
13.
Hofner, Benjamin, Andreas Mayr, Nikolay Robinzonov, & Matthias Schmid. (2012). Model-based boosting in R: a hands-on tutorial using the R package mboost. Computational Statistics. 29(1-2). 3–35. 179 indexed citations
14.
Hofner, Benjamin, Jörg Müller, & Torsten Hothorn. (2011). Monotonicity-constrained species distribution models. Ecology. 92(10). 1895–1901. 37 indexed citations
15.
Schneider, Christian, Jan Fertmann, Claudia Flexeder, et al.. (2011). Short-term prognosis of critically ill surgical patients: The impact of duration of invasive organ support therapies. Journal of Critical Care. 27(1). 73–82. 6 indexed citations
16.
Hothorn, Torsten, et al.. (2010). Model-Based Boosting. Journal of Machine Learning Research. 11(71). 2109–2113. 21 indexed citations
17.
Schneider, Christian, Jan Fertmann, Benjamin Hofner, et al.. (2010). Long-term Survival After Surgical Critical Illness. Annals of Surgery. 251(6). 1145–1153. 12 indexed citations
18.
Tzschoppe, Anja, Wolfgang Rascher, Helmuth G. Dörr, et al.. (2010). Intrauterine growth restriction (IUGR) is associated with increased leptin synthesis and binding capability in neonates. Clinical Endocrinology. 74(4). 459–466. 30 indexed citations
19.
Hofner, Benjamin, et al.. (2008). ACTIVITY-GUIDED ANTITHROMBIN III THERAPY IN SEVERE SURGICAL SEPSIS. Shock. 30(6). 634–641. 9 indexed citations
20.
Fertmann, Jan, et al.. (2008). Prognostic factors in critically ill surgical patients requiring continuous renal replacement therapy. Journal of Nephrology. 21(6). 909–918. 14 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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