Michal Geyer
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- Computer Graphics and Visualization Techniques 1
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image and Video Retrieval Techniques 1
- Advanced Neural Network Applications 1
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- Digital Humanities and Scholarship 1
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- United KingdomIsraelUnited States
In The Last Decade
Michal Geyer
3 papers receiving 239 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Graphics and Computer-Aided Design 55
- Computer Vision and Pattern Recognition 202
- Signal Processing 23
- Media Technology 12
- Computational Mechanics 20
Countries citing papers authored by Michal Geyer
This map shows the geographic impact of Michal Geyer'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 Michal Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Geyer more than expected).
Fields of papers citing papers by Michal Geyer
This network shows the impact of papers produced by Michal Geyer. 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 Michal Geyer. The network helps show where Michal Geyer may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Michal Geyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 8 | |
| 3 | Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationbreakdown → | 2023 | 237 |
About Michal Geyer
Michal Geyer is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Literature and Literary Theory, having authored 3 papers that have together received 246 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Neural Network Applications (1 paper), Digital Humanities and Scholarship (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (55 citations), Computer Vision and Pattern Recognition (202 citations) and Signal Processing (23 citations). Michal Geyer has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Tali Dekel, Narek Tumanyan, Shai Bagon, Yoni Kasten, Jia‐Bin Huang, Erika Lu and Forrester Cole.
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.