Stefan Welker

906 total citations
3 papers, 31 citations indexed

About

Stefan Welker is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Stefan Welker has authored 3 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Control and Systems Engineering. Recurrent topics in Stefan Welker's work include Machine Learning in Healthcare (1 paper), Advanced Vision and Imaging (1 paper) and Robotics and Sensor-Based Localization (1 paper). Stefan Welker is often cited by papers focused on Machine Learning in Healthcare (1 paper), Advanced Vision and Imaging (1 paper) and Robotics and Sensor-Based Localization (1 paper). Stefan Welker collaborates with scholars based in Germany and United States. Stefan Welker's co-authors include Sascha Lange, Martin Lauer, Yonatan Bisk, Quan Vuong, Danny Driess, Igor Gilitschenski, Pierre Sermanet, Ayzaan Wahid, Christine W. Chan and Debidatta Dwibedi and has published in prestigious journals such as Mechatronics.

In The Last Decade

Stefan Welker

3 papers receiving 30 citations

Peers

Stefan Welker

CVPR

CSE

AE

AI

MT

G. Ponimatkin United States

Shivam Vats United States

Martin Engelcke United Kingdom

Shariq Farooq Bhat Saudi Arabia

Qichen Fu United States

Gaurav Manek Singapore

Damian Mrowca United States

Hanxiao Jiang Canada

Robin Strudel France

Lijun Zhou China

G. Ponimatkin United States

Stefan Welker

16 ×0.7

CVPR

13 ×1.4

CSE

9 ×1.3

AE

2 ×0.3

AI

3 ×1.0

MT

Citations per year, relative to Stefan Welker Stefan Welker (= 1×) peers G. Ponimatkin

Countries citing papers authored by Stefan Welker

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Welker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Welker

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Welker. A scholar is included among the top collaborators of Stefan Welker 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 Stefan Welker. Stefan Welker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

Joshi, Nikhil, Ayzaan Wahid, Danny Driess, et al.. (2024). Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. 11 indexed citations

2.

Tu, Stephen, et al.. (2023). Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. 11336–11342. 3 indexed citations

3.

Lauer, Martin, et al.. (2010). 3D-objecttracking with a mixed omnidirectional stereo camera system. Mechatronics. 21(2). 390–398. 17 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.

Explore authors with similar magnitude of impact