Michael Opitz

825 citations
44 papers · 587 · h-index 12

Impact in

Papers in

Michael Opitz

29 papers receiving 551 citations

Peers

Michael Opitz
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 366
  • Artificial Intelligence 158
  • Automotive Engineering 40
  • Computational Mechanics 81
  • Human-Computer Interaction 14
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Citations per year

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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018123
2 201799
3 202074
4 201645
5 198144
6 201432
7 202130
8 199916
9 201915
10 198014
11 201613
12
Pedestrian Detection in RGB-D Images from an Elevated Viewpoint
201713
13 201712
14
Building a Knowledge Graph for Products and Solutions in the Automation Industry.
201911
15
Ontologies and Reasoning to Capture Product Complexity in Automation Industry.
20177
16
GraphScale: Adding Expressive Reasoning to Semantic Data Stores.
20156
17
Aber ein Sturm weht vom Paradiese her : Texte zu Walter Benjamin
19925
18 20195
19 20013
20
Genieße froh, was du nicht hast : der Flaneur Franz Hessel
19972

About Michael Opitz

Michael Opitz is a scholar working on Literature and Literary Theory, Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence and History, having authored 44 papers that have together received 587 indexed citations. Recurring topics across this work include German Literature and Culture Studies (14 papers), Advanced Neural Network Applications (7 papers), Semantic Web and Ontologies (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), German legal, social, and political studies (3 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (366 citations), Artificial Intelligence (158 citations), Automotive Engineering (40 citations), Computational Mechanics (81 citations) and Human-Computer Interaction (14 citations). Michael Opitz has collaborated with scholars based in Austria and Germany. Frequent co-authors include Horst Bischof, Horst Possegger, Georg Waltner, Paul V. Braun, Gerhard Betz, Thorsten Liebig, Florian Kleber, Robert Sablatnig, Stefan Fiel and Markus Diem. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Surface Science, Hydrobiologia, Lecture notes in computer science 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.

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