Kai Welke

1.3k total citations
35 papers, 1.0k citations indexed

About

Kai Welke is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Kai Welke has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Control and Systems Engineering and 11 papers in Aerospace Engineering. Recurrent topics in Kai Welke's work include Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (10 papers) and Photoreceptor and optogenetics research (6 papers). Kai Welke is often cited by papers focused on Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (10 papers) and Photoreceptor and optogenetics research (6 papers). Kai Welke collaborates with scholars based in Germany, Japan and United States. Kai Welke's co-authors include Tamim Asfour, Emily B. Moore, Ezequiel de la Llave, Damián A. Scherlis, Valeria Molinero, Rüdiger Dillmann, Nikolaus Vahrenkamp, Marcus Elstner, Hiroshi Watanabe and Pedram Azad and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Kai Welke

35 papers receiving 1.0k citations

Peers

Kai Welke
Comparison fields: 5 of 102
  • Control and Systems Engineering 242
  • Computer Vision and Pattern Recognition 229
  • Materials Chemistry 209
  • Biomedical Engineering 205
  • Cellular and Molecular Neuroscience 149
Replace Satoshi Yamamoto with:
Satoshi Yamamoto Japan
Kazuya Inoué Japan
Jiawei Wang China
Pritam Ganguly United States
David Yang United States
Jong‐Min Lee South Korea
Haitong Li China
Xiaojin Zhao China
Philip J.W. Hands United Kingdom
Pei Li China
Satoshi Yamamoto Japan View profile →
Citations per field, relative to Kai Welke
Kai Welke · 1×
Citations per year, relative to Kai Welke
Kai Welke · 1×

Countries citing papers authored by Kai Welke

Since Specialization
Citations

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

Fields of papers citing papers by Kai Welke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Welke

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Welke. A scholar is included among the top collaborators of Kai Welke 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 Kai Welke. Kai Welke 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 21
2 22
3 48
4 47
5
High-Level Robot Control with ArmarX.
2
6 17
7
The ArmarX Framework - Supporting high level robot programming through state disclosure.
5
8 23
9 13
10 58
11 11
12 5
13 40
14 256
15
Grasping known objects with humanoid robots: A box-based approach
31
16 19
17 14
18 5
19 85
20 11

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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2026