Jonathan Pirnay
Jonathan Pirnay publishes mostly in Control and Systems Engineering, Artificial Intelligence and Materials Chemistry, on topics such as Process Optimization and Integration, Zeolite Catalysis and Synthesis and Neural Networks and Applications.
- World rank
- #2,348,640 of 7,710,434 ranked researchers
- Rank in Germany
- #116,068 of 364,343
- Works
- 15
- Citations
- 343
- Citations per work
- 22.9
What does Jonathan Pirnay research?
Jonathan Pirnay's work is mostly in Computer Science (35%), Engineering (17%), Materials Science (11%).
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 Sciences963.0%
- Computer Science534.7%
- Engineering317.4%
- Materials Science210.9%
- Everything else637.0%
- 1Control and Systems Engineering17% of their works
- 2Artificial Intelligence13% of their works
- 3Materials Chemistry11% of their works
- 4Computer Networks and Communications9% of their works
- 5Computer Vision and Pattern Recognition6% of their works
- 6Computational Theory and Mathematics6% of their works
Research topics
- Process Optimization and Integration
- Zeolite Catalysis and Synthesis
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Computational Drug Discovery Methods
- Distributed and Parallel Computing Systems
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Jonathan Pirnay's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Optimization, Process Intensification, Representation Learning, Anomaly Detection, Backpropagation Learning and Catalysis.
- Virtual Screening
- Self-Organizing Maps
- Knowledge Graph Embedding
- Grid Computing
- Generative Adversarial Networks
- Catalysis
- Anomaly Detection
- Process Intensification
- Neural Networks
- Deep Learning
- Optimization
- Representation Learning
- Backpropagation Learning
- Distributed Systems
- Graph Neural Networks
- Image Synthesis
- Molecular Docking
- Unsupervised
- Zeolites
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 19 words, with their numbers
- Deep Learning84 topics
- Neural Networks63 topics
- Optimization51 topic
- Process Intensification51 topic
- Representation Learning42 topics
- Anomaly Detection21 topic
- Backpropagation Learning21 topic
- Catalysis21 topic
- Distributed Systems21 topic
- Generative Adversarial Networks21 topic
- Graph Neural Networks21 topic
- Grid Computing21 topic
- Image Synthesis21 topic
- Knowledge Graph Embedding21 topic
- Molecular Docking21 topic
- Self-Organizing Maps21 topic
- Unsupervised21 topic
- Virtual Screening21 topic
- Zeolites21 topic
Where does Jonathan Pirnay work?
Jonathan Pirnay's main affiliation in the publication record is Weihenstephan-Triesdorf University of Applied Sciences, Germany.
How many publications and citations does Jonathan Pirnay have?
OpenAlex counts 15 works and 343 citations for Jonathan Pirnay, an h-index of 6, ranking #2,348,640 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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