Maciej Zamorski
Maciej Zamorski publishes mostly in Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, on topics such as 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques and Image Processing and 3D Reconstruction.
- World rank
- #5,916,454 of 7,710,434 ranked researchers
- Rank in Poland
- #57,174 of 100,960
- Works
- 17
- Citations
- 70
- Citations per work
- 4.1
What does Maciej Zamorski research?
Maciej Zamorski's work is mostly in Computer Science (47%), Engineering (27%), Earth and Planetary Sciences (6%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1480.4%
- Computer Science847.1%
- Engineering527.4%
- Earth and Planetary Sciences15.9%
- Everything else319.6%
- 1Computational Mechanics24% of their works
- 2Computer Vision and Pattern Recognition22% of their works
- 3Computer Graphics and Computer-Aided Design14% of their works
- 4Artificial Intelligence12% of their works
- 5Geology6% of their works
- 6Biomedical Engineering4% of their works
Research topics
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Image Processing and 3D Reconstruction
- 3D Surveying and Cultural Heritage
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced X-ray and CT Imaging
Which keywords describe Maciej Zamorski's research?
The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Mesh Segmentation, Shape Representation, Computer Graphics, Cultural Heritage and Visualization.
- Transfer Learning
- Image Synthesis
- Generative Adversarial Networks
- Domain Adaptation
- Photogrammetry
- Representation Learning
- Neural Networks
- Visualization
- Computer Graphics
- Mesh Segmentation
- 3D Reconstruction
- Deep Learning
- Point Clouds
- Shape Representation
- Cultural Heritage
- Fragmented Objects
- Reconstruction
- Unsupervised Learning
- UAV
- Dual-Energy CT
- Image Captioning
- Material Differentiation
- Visual Question Answering
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 23 words, with their numbers
- Deep Learning133 topics
- 3D Reconstruction122 topics
- Point Clouds122 topics
- Mesh Segmentation91 topic
- Shape Representation91 topic
- Computer Graphics71 topic
- Cultural Heritage72 topics
- Visualization71 topic
- Fragmented Objects41 topic
- Neural Networks42 topics
- Reconstruction41 topic
- Representation Learning42 topics
- Unsupervised Learning42 topics
- Photogrammetry31 topic
- UAV31 topic
- Domain Adaptation21 topic
- Dual-Energy CT21 topic
- Generative Adversarial Networks21 topic
- Image Captioning21 topic
- Image Synthesis21 topic
- Material Differentiation21 topic
- Transfer Learning21 topic
- Visual Question Answering21 topic
Where does Maciej Zamorski work?
Maciej Zamorski's main affiliation in the publication record is Wrocław University of Science and Technology, Poland.
How many publications and citations does Maciej Zamorski have?
OpenAlex counts 17 works and 70 citations for Maciej Zamorski, an h-index of 4, ranking #5,916,454 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Maciej Zamorski. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.