Josef Pauli
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Artificial Intelligence
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Mirko MeuterStefan Müller-SchneidersKun ZhaoGerald SommerZhenyu TangArne SchmidtGurbandurdy DovletovKonstantinos Tsagakis
- Topics
- Medical Image Segmentation Techniques (7 papers)Advanced Vision and Imaging (7 papers)Robotics and Sensor-Based Localization (7 papers)
In The Last Decade
Josef Pauli
53 papers receiving 328 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 180
- Automotive Engineering 94
- Artificial Intelligence 80
- Aerospace Engineering 65
- Control and Systems Engineering 55
Countries citing papers authored by Josef Pauli
This map shows the geographic impact of Josef Pauli'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 Josef Pauli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef Pauli more than expected).
Fields of papers citing papers by Josef Pauli
This network shows the impact of papers produced by Josef Pauli. 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 Josef Pauli. The network helps show where Josef Pauli may publish in the future.
Co-authorship network of co-authors of Josef Pauli
This figure shows the co-authorship network connecting the top 25 collaborators of Josef Pauli. A scholar is included among the top collaborators of Josef Pauli 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 Josef Pauli. Josef Pauli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | Color supported generalized-ICP | 22 |
| 11 | 9 | |
| 12 | Decision Making Based on Somatic Markers. | 5 |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Aspects of Learning-Based. | 1 |
| 17 | 1 | |
| 18 | 16 | |
| 19 | VISION BASED LEARNING OF GRIPPER TRAJECTORIES FOR A ROBOT ARM. | 9 |
| 20 | Zielorientierte Integration und Adaption von Bildanalyseprozessen. | 0 |
About Josef Pauli
Josef Pauli is a scholar working on Computer Vision and Pattern Recognition, Geology and Artificial Intelligence, having authored 61 papers that have together received 340 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Vision and Imaging (7 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Automotive Engineering (94 citations) and Geology (19 citations). Josef Pauli has collaborated with scholars based in Germany and Indonesia. Frequent co-authors include Mirko Meuter, Stefan Müller-Schneiders, Kun Zhao, Gerald Sommer, Zhenyu Tang, Arne Schmidt, Gurbandurdy Dovletov, Konstantinos Tsagakis, Edwin Naroska and Wolfram Luther. Their work appears in journals such as Machine Learning, Pattern Recognition Letters and Robotics and Autonomous Systems.
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.