Michael Opitz
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Mechanics
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Horst BischofHorst PosseggerG. BetzPaul V. BraunMarkus DiemFlorian KleberRobert SablatnigStefan Fiel
- Topics
- Semantic Web and Ontologies (4 papers)German Literature and Culture Studies (3 papers)Literature and Cultural Memory (3 papers)
- Journals
- Applied Surface ScienceHydrobiologiaNuclear Instruments and Methods
In The Last Decade
Michael Opitz
23 papers receiving 234 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 126
- Artificial Intelligence 61
- Computational Mechanics 47
- Materials Chemistry 31
- Electrical and Electronic Engineering 26
Countries citing papers authored by Michael Opitz
This map shows the geographic impact of Michael Opitz'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 Michael Opitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Opitz more than expected).
Fields of papers citing papers by Michael Opitz
This network shows the impact of papers produced by Michael Opitz. 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 Michael Opitz. The network helps show where Michael Opitz may publish in the future.
Co-authorship network of co-authors of Michael Opitz
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Opitz. A scholar is included among the top collaborators of Michael Opitz 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 Michael Opitz. Michael Opitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Building a Knowledge Graph for Products and Solutions in the Automation Industry. | 8 |
| 4 | 1 | |
| 5 | Ontologies and Reasoning to Capture Product Complexity in Automation Industry. | 3 |
| 6 | Connecting the Dots in Million-Nodes Knowledge Graphs with SemSpect. | 1 |
| 7 | Pedestrian Detection in RGB-D Images from an Elevated Viewpoint | 12 |
| 8 | GraphScale: Adding Expressive Reasoning to Semantic Data Stores. | 5 |
| 9 | 30 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | Reasoning over Dynamic Data in Expressive Knowledge Bases with Rscale | 1 |
| 13 | 0 | |
| 14 | 3 | |
| 15 | AN AUTOMATIC MEASUREMENT OF THE DRIVER AVAILABILITY TO RECEIVE VOCAL MESSAGES | 1 |
| 16 | 13 | |
| 17 | Genieße froh, was du nicht hast : der Flaneur Franz Hessel | 1 |
| 18 | Aber ein Sturm weht vom Paradiese her : Texte zu Walter Benjamin | 6 |
| 19 | 43 | |
| 20 | 10 |
About Michael Opitz
Michael Opitz is a scholar working on Computer Vision and Pattern Recognition, Surfaces, Coatings and Films and Literature and Literary Theory, having authored 26 papers that have together received 254 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), German Literature and Culture Studies (3 papers) and Literature and Cultural Memory (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Surfaces, Coatings and Films (18 citations) and Computational Mechanics (47 citations). Michael Opitz has collaborated with scholars based in Austria and Germany. Frequent co-authors include Horst Bischof, Horst Possegger, G. Betz, Paul V. Braun, Markus Diem, Florian Kleber, Robert Sablatnig, Stefan Fiel, Thorsten Liebig and Jürgen Benndorf. Their work appears in journals such as Applied Surface Science, Hydrobiologia and Nuclear Instruments and Methods.
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.