Philipp Hennig

3.8k citations
50 papers · 1.2k · h-index 16

Impact in

Papers in

Philipp Hennig

43 papers receiving 1.1k citations

Peers

Philipp Hennig
Comparison fields: 5 of 126
  • Structural Biology 55
  • Computational Theory and Mathematics 268
  • Statistics, Probability and Uncertainty 109
  • Artificial Intelligence 462
  • Management Science and Operations Research 150
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Gal Elidan Israel
Alexander Ilin Finland
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Citations per year

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-authors

The 25 scholars most cited alongside Philipp Hennig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philipp Hennig Line = papers co-authored together Philipp Hennig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012259
2 2019181
3 201599
4 201883
5 201565
6 201359
7 200745
8 201743
9 201335
10
Incremental Local Gaussian Regression
201426
11 201024
12 202222
13 201418
14 201117
15 201317
16
Inference of Cause and Effect with Unsupervised Inverse Regression
201516
17 201815
18 201714
19
Fast Probabilistic Optimization from Noisy Gradients
201313
20 201413

About Philipp Hennig

Philipp Hennig is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (23 papers), Control Systems and Identification (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Neural Networks and Applications (6 papers), Model Reduction and Neural Networks (5 papers), Radiation Therapy and Dosimetry (5 papers), Advanced Radiotherapy Techniques (4 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Structural Biology (55 citations), Computational Theory and Mathematics (268 citations), Statistics, Probability and Uncertainty (109 citations), Artificial Intelligence (462 citations) and Management Science and Operations Research (150 citations). Philipp Hennig has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christian J. Schuler, Bernhard Schölkopf, Mark Bangert, Zhenwen Dai, Javier González, Neil D. Lawrence, Winfried Denk, Motonobu Kanagawa, Bharath K. Sriperumbudur and Melanie N. Zeilinger. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, npj Climate and Atmospheric Science, SOIL and The Science of The Total Environment.

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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