Volker Krueger
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Rama ChellappaS. Kevin ZhouFrancesco RovidaMatthias MayrRonald P. A. PetrickMatthew CrosbyGermano VeigaCésar Toscano
- Topics
- Robot Manipulation and Learning (9 papers)AI-based Problem Solving and Planning (5 papers)Advanced Manufacturing and Logistics Optimization (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingIndustrial and Manufacturing Engineering
- Journals
- Proceedings of the IEEEComputer Vision and Image UnderstandingRobotics and Computer-Integrated Manufacturing
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Volker Krueger
22 papers receiving 408 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 245
- Signal Processing 72
- Artificial Intelligence 71
- Control and Systems Engineering 66
- Industrial and Manufacturing Engineering 63
Countries citing papers authored by Volker Krueger
This map shows the geographic impact of Volker Krueger'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 Volker Krueger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Krueger more than expected).
Fields of papers citing papers by Volker Krueger
This network shows the impact of papers produced by Volker Krueger. 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 Volker Krueger. The network helps show where Volker Krueger may publish in the future.
Co-authorship network of co-authors of Volker Krueger
This figure shows the co-authorship network connecting the top 25 collaborators of Volker Krueger. A scholar is included among the top collaborators of Volker Krueger 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 Volker Krueger. Volker Krueger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 28 | |
| 12 | 16 | |
| 13 | 37 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | High Resolution Visualization of Near Wellbore Geology using While-Drilling Electrical Images | 15 |
| 17 | Magnetic Resonance Logging While Drilling Streamlines Reservoir Evaluation | 4 |
| 18 | 18 | |
| 19 | 38 | |
| 20 | 22 |
About Volker Krueger
Volker Krueger is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 436 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (9 papers), AI-based Problem Solving and Planning (5 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Signal Processing (72 citations) and Industrial and Manufacturing Engineering (63 citations). Volker Krueger has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Rama Chellappa, S. Kevin Zhou, Francesco Rovida, Matthias Mayr, Ronald P. A. Petrick, Matthew Crosby, Germano Veiga, César Toscano, Roland Chemali and Rogério Feris. Their work appears in journals such as Proceedings of the IEEE, Computer Vision and Image Understanding and Robotics and Computer-Integrated Manufacturing.
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.