Philipp Hennig

3.7k total citations
48 papers, 1.2k citations indexed

About

Philipp Hennig is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Philipp Hennig has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Philipp Hennig's work include Gaussian Processes and Bayesian Inference (22 papers), Control Systems and Identification (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Philipp Hennig is often cited by papers focused on Gaussian Processes and Bayesian Inference (22 papers), Control Systems and Identification (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Philipp Hennig collaborates with scholars based in Germany, United Kingdom and United States. Philipp Hennig's co-authors include Christian J. Schuler, Bernhard Schölkopf, Mark Bangert, Neil D. Lawrence, Javier González, Zhenwen Dai, Winfried Denk, Motonobu Kanagawa, Melanie N. Zeilinger and Uwe Oelfke and has published in prestigious journals such as Science, Journal of Applied Physics and The Science of The Total Environment.

In The Last Decade

Philipp Hennig

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp Hennig Germany 16 456 262 169 148 111 48 1.2k
Ioannis G. Tsoulos Greece 19 587 1.3× 206 0.8× 108 0.6× 39 0.3× 91 0.8× 117 1.3k
E.R. Dougherty United States 24 382 0.8× 282 1.1× 120 0.7× 66 0.4× 26 0.2× 65 2.2k
Habiboulaye Amadou Boubacar France 3 798 1.8× 87 0.3× 133 0.8× 44 0.3× 162 1.5× 6 1.8k
Jonathan E. Rowe United Kingdom 18 756 1.7× 370 1.4× 95 0.6× 88 0.6× 127 1.1× 81 1.5k
Ingo Rechenberg Germany 8 814 1.8× 455 1.7× 117 0.7× 72 0.5× 153 1.4× 14 1.8k
Surya T. Tokdar United States 17 430 0.9× 51 0.2× 52 0.3× 56 0.4× 35 0.3× 30 1.0k
Richard Palmer United States 5 558 1.2× 66 0.3× 157 0.9× 205 1.4× 150 1.4× 15 1.5k
Gilles Blanchard Germany 19 561 1.2× 56 0.2× 68 0.4× 39 0.3× 44 0.4× 53 1.1k
Mark Ebden United Kingdom 9 280 0.6× 32 0.1× 70 0.4× 93 0.6× 69 0.6× 17 951

Countries citing papers authored by Philipp Hennig

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Hennig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Hennig

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Hennig. A scholar is included among the top collaborators of Philipp Hennig 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 Philipp Hennig. Philipp Hennig 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.
Hennig, Philipp, et al.. (2026). Visualizing stability: a sensitivity analysis framework for t-SNE embeddings. Frontiers in Bioinformatics. 5. 1719516–1719516.
2.
Eggensperger, Katharina, et al.. (2025). Quantifying spatial uncertainty to improve soil predictions in data-sparse regions. SOIL. 11(2). 833–847.
3.
Schmidt, Jonathan, et al.. (2025). A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation. npj Climate and Atmospheric Science. 8(1). 270–270.
4.
Hobbhahn, Marius, et al.. (2024). Flexible inference in heterogeneous and attributed multilayer networks. PNAS Nexus. 4(1). pgaf005–pgaf005.
5.
Hennig, Philipp, et al.. (2023). VIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis. IEEE Transactions on Visualization and Computer Graphics. 30(4). 2011–2022. 2 indexed citations
6.
Werner, Matthias, Andrej Junginger, Philipp Hennig, & Georg Martius. (2022). Uncertainty in equation learning. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2298–2305.
7.
Hennig, Philipp, et al.. (2021). Linear-Time Probabilistic Solution of Boundary Value Problems. Neural Information Processing Systems. 34.
8.
Motta, Alessandro, Manuel Berning, Kevin M. Boergens, et al.. (2019). Dense connectomic reconstruction in layer 4 of the somatosensory cortex. Science. 366(6469). 177 indexed citations
9.
Hennig, Philipp, et al.. (2019). Limitations of the Empirical Fisher Approximation.. arXiv (Cornell University). 4 indexed citations
10.
Kanagawa, Motonobu & Philipp Hennig. (2019). Convergence Guarantees for Adaptive Bayesian Quadrature Methods. Graduate School and Research Center in Digital Science (EURECOM). 32. 6205–6216. 2 indexed citations
11.
Wieser, Hans‐Peter, Philipp Hennig, Niklas Wahl, & Mark Bangert. (2017). Analytical probabilistic modeling of RBE-weighted dose for ion therapy. Physics in Medicine and Biology. 62(23). 8959–8982. 7 indexed citations
12.
Wahl, Niklas, Philipp Hennig, Hans‐Peter Wieser, & Mark Bangert. (2017). Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy. Physics in Medicine and Biology. 62(14). 5790–5807. 13 indexed citations
13.
Bartels, Simon & Philipp Hennig. (2016). Probabilistic Approximate Least-Squares. MPG.PuRe (Max Planck Society). 676–684. 1 indexed citations
14.
Hennig, Philipp, et al.. (2016). Active uncertainty calibration in Bayesian ODE solvers. MPG.PuRe (Max Planck Society). 309–318. 3 indexed citations
15.
Sgouritsa, Eleni, Dominik Janzing, Philipp Hennig, & Bernhard Schölkopf. (2015). Inference of Cause and Effect with Unsupervised Inverse Regression. MPG.PuRe (Max Planck Society). 847–855. 17 indexed citations
16.
Meier, Franziska, Philipp Hennig, & Stefan Schaal. (2014). Incremental Local Gaussian Regression. MPG.PuRe (Max Planck Society). 27. 972–980. 26 indexed citations
17.
Hennig, Philipp. (2013). Fast Probabilistic Optimization from Noisy Gradients. Max Planck Digital Library. 62–70. 13 indexed citations
18.
Bangert, Mark, Philipp Hennig, & Uwe Oelfke. (2013). Analytical probabilistic modeling for radiation therapy treatment planning. Physics in Medicine and Biology. 58(16). 5401–5419. 35 indexed citations
19.
Hennig, Philipp & Christian J. Schuler. (2012). Entropy search for information-efficient global optimization. Journal of Machine Learning Research. 13(1). 1809–1837. 254 indexed citations
20.
Hennig, Philipp, David L. Stern, & Thore Graepel. (2009). Bayesian Quadratic Reinforcement Learning. MPG.PuRe (Max Planck Society). 1 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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