Patrick van der Smagt

13.1k total citations · 2 hit papers
106 papers, 7.3k citations indexed

About

Patrick van der Smagt is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Patrick van der Smagt has authored 106 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 38 papers in Control and Systems Engineering and 31 papers in Cognitive Neuroscience. Recurrent topics in Patrick van der Smagt's work include Muscle activation and electromyography studies (38 papers), Robot Manipulation and Learning (29 papers) and EEG and Brain-Computer Interfaces (16 papers). Patrick van der Smagt is often cited by papers focused on Muscle activation and electromyography studies (38 papers), Robot Manipulation and Learning (29 papers) and EEG and Brain-Computer Interfaces (16 papers). Patrick van der Smagt collaborates with scholars based in Germany, United States and Netherlands. Patrick van der Smagt's co-authors include Vladimir Golkov, Philipp Fischer, Alexey Dosovitskiy, Caner Hazırbaş, Eddy Ilg, Thomas Brox, Daniel Cremers, Claudio Castellini, Jörn Vogel and Sami Haddadin and has published in prestigious journals such as Nature, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Patrick van der Smagt

98 papers receiving 7.0k citations

Hit Papers

FlowNet: Learning Optical... 2012 2026 2016 2021 2015 2012 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FlowNet: Learning Optical Flow with Convolutional Networks
    2015 2.5k citations Patrick van der Smagt et al. profile →
  2. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
    2012 1.8k citations Jörn Vogel, Sami Haddadin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick van der Smagt Germany 27 2.5k 2.4k 2.3k 1.7k 970 106 7.3k
Helge Ritter Germany 41 2.5k 1.0× 2.0k 0.8× 1.2k 0.5× 494 0.3× 2.1k 2.1× 356 6.9k
Florentin Wörgötter Germany 41 2.3k 0.9× 1.2k 0.5× 1.1k 0.5× 1.2k 0.7× 1.0k 1.1× 290 6.1k
Barbara Caputo Italy 44 1.5k 0.6× 4.9k 2.0× 2.6k 1.1× 705 0.4× 2.7k 2.8× 152 8.1k
Aiguo Song China 37 1.7k 0.7× 1.2k 0.5× 1.9k 0.8× 417 0.2× 632 0.7× 549 6.2k
Deniz Erdoğmuş United States 46 2.1k 0.9× 1.3k 0.5× 627 0.3× 667 0.4× 1.8k 1.8× 413 7.3k
Urbano Nunes Portugal 45 1.2k 0.5× 2.4k 1.0× 684 0.3× 445 0.3× 612 0.6× 220 6.0k
Dewen Hu China 58 6.2k 2.5× 1.7k 0.7× 433 0.2× 1.3k 0.8× 1.8k 1.9× 367 11.7k
Seong‐Whan Lee South Korea 62 6.2k 2.5× 4.8k 2.0× 1.5k 0.6× 2.0k 1.2× 3.0k 3.1× 508 14.3k
Giancarlo Ferrigno Italy 49 1.5k 0.6× 1.2k 0.5× 3.3k 1.5× 536 0.3× 347 0.4× 322 7.8k
Ram Bilas Pachori India 66 7.7k 3.1× 1.7k 0.7× 1.8k 0.8× 890 0.5× 1.9k 1.9× 298 13.3k

Countries citing papers authored by Patrick van der Smagt

Since Specialization
Citations

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

Fields of papers citing papers by Patrick van der Smagt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick van der Smagt. 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 Patrick van der Smagt. The network helps show where Patrick van der Smagt may publish in the future.

Co-authorship network of co-authors of Patrick van der Smagt

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick van der Smagt. A scholar is included among the top collaborators of Patrick van der Smagt 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 Patrick van der Smagt. Patrick van der Smagt 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.
Greve, Lars, et al.. (2025). Accelerating crash simulations with Finite Element Method Integrated Networks (FEMIN): Comparing two approaches to replace large portions of a FEM simulation. Computer Methods in Applied Mechanics and Engineering. 443. 118046–118046.
2.
Greve, Lars, et al.. (2024). Introducing Finite Element Method Integrated Networks (FEMIN). Computer Methods in Applied Mechanics and Engineering. 427. 117073–117073. 5 indexed citations
3.
Frank, F., et al.. (2024). On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. IEEE Robotics and Automation Letters. 9(6). 5895–5902. 6 indexed citations
4.
Yin, Li, et al.. (2024). Sequential model for predicting patient adherence in subcutaneous immunotherapy for allergic rhinitis. Frontiers in Pharmacology. 15. 1371504–1371504. 1 indexed citations
5.
Schneider, F. R. N., F. K. Röpke, Alexander I. Jordan, et al.. (2023). Scalable stellar evolution forecasting. Astronomy and Astrophysics. 681. A86–A86. 6 indexed citations
6.
Kerzendorf, Wolfgang, et al.. (2022). New mass estimates for massive binary systems: a probabilistic approach using polarimetric radiative transfer. arXiv (Cornell University). 3 indexed citations
7.
Cseke, Botond, et al.. (2020). Continual Learning with Bayesian Neural Networks for Non-Stationary Data. International Conference on Learning Representations. 16 indexed citations
8.
Chen, Nutan, et al.. (2017). Metrics for Deep Generative Models. International Conference on Artificial Intelligence and Statistics. 1540–1550. 6 indexed citations
9.
Staffler, Benedikt, et al.. (2017). SynEM, automated synapse detection for connectomics. eLife. 6. 38 indexed citations
10.
Blenk, Andreas, et al.. (2016). Boost Online Virtual Network Embedding: Using Neural Networks for Admission Control. 10–18. 22 indexed citations
11.
Richter, Christoph, Jesús A. Garrido, Eduardo Ros, et al.. (2016). Musculoskeletal Robots: Scalability in Neural Control. IEEE Robotics & Automation Magazine. 23(4). 128–137. 51 indexed citations
12.
Chen, Nutan, et al.. (2015). Measuring fingertip forces from camera images for random finger poses. 1216–1221. 5 indexed citations
13.
Braun, David J., Florian Petit, Felix Huber, et al.. (2012). Optimal torque and stiffness control in compliantly actuated robots. elib (German Aerospace Center). 2801–2808. 13 indexed citations
14.
Smagt, Patrick van der. (2011). Handfunktionsstörungen in der Neurologie: Klinik und Rehabilitation. Head & Neck. 44(3). 691–697.
15.
Vogel, Jörn, Claudio Castellini, & Patrick van der Smagt. (2011). EMG-based teleoperation and manipulation with the DLR LWR-III. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 14 indexed citations
16.
Vogel, Jörn, Claudio Castellini, & Patrick van der Smagt. (2011). EMG-based teleoperation and manipulation with the DLR LWR-III. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 85 indexed citations
17.
Maier, S. K. G. & Patrick van der Smagt. (2008). Surface EMG suffices to classify the motion of each finger independently. elib (German Aerospace Center). 17 indexed citations
18.
Smagt, Patrick van der & G. Hirzinger. (2002). The cerebellum as computed torque model. 2. 760–763. 4 indexed citations
19.
Smagt, Patrick van der, et al.. (1997). Neural Networks for Robotics. Morgan Kaufmann Publishers Inc. eBooks. 1 indexed citations
20.
Smagt, Patrick van der, et al.. (1994). Nested Networks For Robot Control. Data Archiving and Networked Services (DANS). 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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