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, Ralf Langen, Matthias Grundmann, Abhinav Dhall, Tharindumala Abeywardana and Jobin Varkey 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 782 citations

Peers

Franziska Meier
Comparison fields: 5 of 89
  • Control and Systems Engineering 370
  • Computer Vision and Pattern Recognition 234
  • Artificial Intelligence 222
  • Biomedical Engineering 162
  • Molecular Biology 133
Replace Jihoon Lee with:
Jihoon Lee South Korea
R. Janarthanan India
Yingyu Li China
Andrea Fossati Switzerland
Muhammad Uzair Pakistan
Yong-Guk Kim South Korea
Cui Zhang China
Siddharth Srivastava United States
Lan Xu China
Yusuf Aytar United States
Jihoon Lee South Korea View profile →
Citations per field, relative to Franziska Meier
Franziska Meier · 1×
Citations per year, relative to Franziska Meier
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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
# Work Indexed citations
1 0
2 31
3 34
4 22
5 87
6
Residual Learning from Demonstration.
2
7
Curious iLQR: Resolving Uncertainty in Model-based RL.
5
8
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
9
9 12
10 18
11 19
12 22
13
Incremental Local Gaussian Regression
26
14
The More the Merrier: Parameter Learning for Graphical Models with Multiple MAPs
2
15
Movement Segmentation and Recognition for Imitation Learning
19
16 97
17 3
18 80
19 46
20
Das Lachen des Hofmanns
0

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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