Michael Opitz

621 citations
26 papers · 254 · h-index 9

Impact in

Papers in

Michael Opitz

23 papers receiving 234 citations

Peers

Michael Opitz
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 126
  • Surfaces, Coatings and Films 18
  • Computational Mechanics 47
  • Media Technology 18
  • Artificial Intelligence 61
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Countries citing papers authored by Michael Opitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Michael Opitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Opitz Line = papers co-authored together Michael Opitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201781
2 198143
3 201430
4 201614
5 199913
6
Pedestrian Detection in RGB-D Images from an Elevated Viewpoint
201712
7 201911
8 198010
9
Building a Knowledge Graph for Products and Solutions in the Automation Industry.
20198
10
Aber ein Sturm weht vom Paradiese her : Texte zu Walter Benjamin
19926
11
GraphScale: Adding Expressive Reasoning to Semantic Data Stores.
20155
12 20195
13
Ontologies and Reasoning to Capture Product Complexity in Automation Industry.
20173
14 20013
15
Genieße froh, was du nicht hast : der Flaneur Franz Hessel
19971
16
AN AUTOMATIC MEASUREMENT OF THE DRIVER AVAILABILITY TO RECEIVE VOCAL MESSAGES
19991
17
Connecting the Dots in Million-Nodes Knowledge Graphs with SemSpect.
20171
18 20211
19 20181
20 20131

About Michael Opitz

Michael Opitz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Literature and Literary Theory, Surfaces, Coatings and Films and Automotive Engineering, having authored 26 papers that have together received 254 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (3 papers), Literature and Cultural Memory (3 papers), German Literature and Culture Studies (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers) and Ion-surface interactions and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Surfaces, Coatings and Films (18 citations), Computational Mechanics (47 citations), Media Technology (18 citations) and Artificial Intelligence (61 citations). Michael Opitz has collaborated with scholars based in Austria and Germany. Frequent co-authors include Horst Bischof, Horst Possegger, Paul V. Braun, G. Betz, Robert Sablatnig, Stefan Fiel, Florian Kleber, Markus Diem, Thorsten Liebig and Jürgen Benndorf. Their work appears in journals such as Applied Surface Science, Hydrobiologia, Nuclear Instruments and Methods, Königshausen & Neumann eBooks and Acta Physica Academiae Scientiarum Hungaricae.

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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