Franziska Meier

1.6k total citations
38 papers, 815 citations indexed

About

Franziska Meier is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Franziska Meier has authored 38 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Control and Systems Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Franziska Meier's work include Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (11 papers) and Human Pose and Action Recognition (8 papers). Franziska Meier is often cited by papers focused on Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (11 papers) and Human Pose and Action Recognition (8 papers). Franziska Meier collaborates with scholars based in United States, Germany and United Kingdom. Franziska Meier's co-authors include Stefan Schaal, Evangelos A. Theodorou, Akshara Rai, Freek Stulp, Irfan Essa, Matthias Grundmann, Ralf Langen, Jobin Varkey, Nicholas P. Marotta and Stefan Schaal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Franziska Meier

31 papers receiving 783 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Franziska Meier 370 234 222 162 133 38 815
Jihoon Lee 224 0.6× 42 0.2× 117 0.5× 108 0.7× 84 0.6× 61 835
R. Janarthanan 156 0.4× 186 0.8× 173 0.8× 93 0.6× 108 0.8× 114 1.2k
Yingyu Li 47 0.1× 77 0.3× 289 1.3× 51 0.3× 74 0.6× 58 891
Andrea Fossati 44 0.1× 697 3.0× 140 0.6× 104 0.6× 130 1.0× 39 1.1k
Muhammad Uzair 52 0.1× 448 1.9× 233 1.0× 60 0.4× 33 0.2× 54 1.0k
Yong-Guk Kim 44 0.1× 208 0.9× 165 0.7× 63 0.4× 34 0.3× 59 602
Cui Zhang 30 0.1× 42 0.2× 109 0.5× 144 0.9× 149 1.1× 81 732
Siddharth Srivastava 191 0.5× 332 1.4× 471 2.1× 43 0.3× 23 0.2× 77 967
Lan Xu 226 0.6× 1.0k 4.4× 69 0.3× 83 0.5× 124 0.9× 92 1.5k
Yusuf Aytar 64 0.2× 837 3.6× 577 2.6× 184 1.1× 46 0.3× 25 1.3k

Countries citing papers authored by Franziska Meier

Since Specialization
Citations

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

Fields of papers citing papers by Franziska Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franziska Meier

This figure shows the co-authorship network connecting the top 25 collaborators of Franziska Meier. A scholar is included among the top collaborators of Franziska Meier 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 Franziska Meier. Franziska Meier 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.
Sax, Alexander F., Kevin J Liang, Mikael Henaff, et al.. (2025). Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. 21924–21935. 2 indexed citations
2.
Wu, Tingfan, Arjun Majumdar, Vincent-Pierre Berges, et al.. (2024). What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?. 17515–17521.
3.
Meier, Franziska, et al.. (2022). Corticospinal Control of a Challenging Ankle Task in Incomplete Spinal Cord Injury. Journal of Neurotrauma. 40(9-10). 952–964. 1 indexed citations
4.
Isas, J. Mario, Nitin Pandey, Hui Xu, et al.. (2021). Huntingtin fibrils with different toxicity, structure, and seeding potential can be interconverted. Nature Communications. 12(1). 4272–4272. 34 indexed citations
5.
Calandra, Roberto, et al.. (2021). Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics and Automation Letters. 6(2). 2682–2689. 22 indexed citations
6.
Duriez, Christian, Gregory D. Hager, David K. Han, et al.. (2020). On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward. Proceedings of the National Academy of Sciences. 118(1). 87 indexed citations
7.
Burke, Michael, et al.. (2020). Residual Learning from Demonstration.. arXiv (Cornell University). 2 indexed citations
8.
Rai, Akshara, Rika Antonova, Franziska Meier, & Christopher G. Atkeson. (2019). Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. arXiv (Cornell University). 20(49). 1–24. 9 indexed citations
9.
Rai, Akshara, et al.. (2019). Curious iLQR: Resolving Uncertainty in Model-based RL.. 162–171. 5 indexed citations
10.
Meier, Franziska, et al.. (2019). Learning and Adaptation of Inverse Dynamics Models: A Comparison. 491–498. 12 indexed citations
11.
Byravan, Arunkumar, et al.. (2018). SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. 3339–3346. 18 indexed citations
12.
Meier, Franziska & Stefan Schaal. (2016). Drifting Gaussian processes with varying neighborhood sizes for online model learning. 264–269. 19 indexed citations
13.
Meier, Franziska, Philipp Hennig, & Stefan Schaal. (2014). Incremental Local Gaussian Regression. MPG.PuRe (Max Planck Society). 27. 972–980. 26 indexed citations
14.
Meier, Franziska, Amir Globerson, & Fei Sha. (2013). The More the Merrier: Parameter Learning for Graphical Models with Multiple MAPs. 2 indexed citations
15.
Meier, Franziska, Evangelos A. Theodorou, & Stefan Schaal. (2012). Movement Segmentation and Recognition for Imitation Learning. MPG.PuRe (Max Planck Society). 761–769. 19 indexed citations
16.
Meier, Franziska, Tharindumala Abeywardana, Abhinav Dhall, et al.. (2012). Semisynthetic, Site-Specific Ubiquitin Modification of α-Synuclein Reveals Differential Effects on Aggregation. Journal of the American Chemical Society. 134(12). 5468–5471. 97 indexed citations
17.
Meier, Franziska, Evangelos A. Theodorou, Freek Stulp, & Stefan Schaal. (2011). Movement segmentation using a primitive library. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3 indexed citations
18.
Brannigan, J.A., Barbara A. Smith, Zhiyong Yu, et al.. (2009). N-Myristoyltransferase from Leishmania donovani: Structural and Functional Characterisation of a Potential Drug Target for Visceral Leishmaniasis. Journal of Molecular Biology. 396(4). 985–999. 80 indexed citations
19.
Grundmann, Matthias, Franziska Meier, & Irfan Essa. (2008). 3D Shape Context and Distance Transform for action recognition. Proceedings - International Conference on Pattern Recognition. 1–4. 46 indexed citations
20.
Meier, Franziska. (2002). Das Lachen des Hofmanns. Merkur. 56(9). 801–808.

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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