Damian Podareanu
Damian Podareanu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as AI in cancer detection, Digital Imaging for Blood Diseases and Computational Physics and Python Applications.
- World rank
- #1,946,378 of 7,710,434 ranked researchers
- Rank in Netherlands
- #42,545 of 107,149
- Works
- 42
- Citations
- 494
- Citations per work
- 11.8
What does Damian Podareanu research?
Damian Podareanu's work is mostly in Computer Science (62%), Earth and Planetary Sciences (5%), Physics and Astronomy (4%).
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 Sciences3071.1%
- Computer Science2662.5%
- Earth and Planetary Sciences24.8%
- Physics and Astronomy23.8%
- Everything else1228.9%
- 1Artificial Intelligence31% of their works
- 2Computer Vision and Pattern Recognition18% of their works
- 3Information Systems7% of their works
- 4Computer Networks and Communications7% of their works
- 5Atmospheric Science5% of their works
- 6Nuclear and High Energy Physics4% of their works
Research topics
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Computational Physics and Python Applications
- Advanced Neural Network Applications
- Meteorological Phenomena and Simulations
- Advanced Data Storage Technologies
- Generative Adversarial Networks and Image Synthesis
- Cloud Computing and Resource Management
Which keywords describe Damian Podareanu's research?
The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Deep Learning, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Leukemia Classification and Malaria Parasite Detection.
- Network Coding
- Generative Adversarial Networks
- Cloud Computing
- Object Detection
- Ensemble Kalman Filter
- Scientific Computing
- Malaria Parasite Detection
- Histopathology Images
- Medical Image Analysis
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Computer-Aided Detection
- Leukemia Classification
- Python
- Data Assimilation
- Image Recognition
- Big Data
- Distributed Storage
- Image Synthesis
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.
All 20 words, with their numbers
- Machine Learning203 topics
- Convolutional Neural Networks193 topics
- Deep Learning163 topics
- Medical Image Analysis142 topics
- Computer-Aided Detection71 topic
- Histopathology Images71 topic
- Leukemia Classification71 topic
- Malaria Parasite Detection71 topic
- Python61 topic
- Scientific Computing61 topic
- Data Assimilation51 topic
- Ensemble Kalman Filter51 topic
- Image Recognition51 topic
- Object Detection51 topic
- Big Data41 topic
- Cloud Computing41 topic
- Distributed Storage41 topic
- Generative Adversarial Networks41 topic
- Image Synthesis41 topic
- Network Coding41 topic
Where does Damian Podareanu work?
Damian Podareanu's main affiliation in the publication record is SURFsara (Netherlands), Netherlands.
How many publications and citations does Damian Podareanu have?
OpenAlex counts 42 works and 494 citations for Damian Podareanu, an h-index of 11, ranking #1,946,378 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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.
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