Wolfgang Merkt
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Aerospace Engineering
- Mechanical Engineering
- Co-authors
- Sethu VijayakumarVladimir IvanIoannis HavoutisYiming YangJoan SolàCarlos MastalliNicolas MansardZhibin Li
- Topics
- Robotic Path Planning Algorithms (18 papers)Robotic Locomotion and Control (13 papers)Robot Manipulation and Learning (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Wolfgang Merkt
27 papers receiving 248 citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 147
- Computer Vision and Pattern Recognition 133
- Biomedical Engineering 122
- Aerospace Engineering 70
- Mechanical Engineering 45
Countries citing papers authored by Wolfgang Merkt
This map shows the geographic impact of Wolfgang Merkt'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 Wolfgang Merkt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Merkt more than expected).
Fields of papers citing papers by Wolfgang Merkt
This network shows the impact of papers produced by Wolfgang Merkt. 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 Wolfgang Merkt. The network helps show where Wolfgang Merkt may publish in the future.
Co-authorship network of co-authors of Wolfgang Merkt
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Merkt. A scholar is included among the top collaborators of Wolfgang Merkt 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 Wolfgang Merkt. Wolfgang Merkt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 30 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | Comparing Metrics for Robustness Against External Perturbations in Dynamic Trajectory Optimization. | 2 |
| 15 | 12 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 23 | |
| 20 | 22 |
About Wolfgang Merkt
Wolfgang Merkt is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 29 papers that have together received 252 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (18 papers), Robotic Locomotion and Control (13 papers) and Robot Manipulation and Learning (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Control and Systems Engineering (147 citations) and Aerospace Engineering (70 citations). Wolfgang Merkt has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Sethu Vijayakumar, Vladimir Ivan, Ioannis Havoutis, Yiming Yang, Joan Solà, Carlos Mastalli, Nicolas Mansard, Zhibin Li, Michael Mistry and Theodoros Stouraitis. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Robotics.
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.