Sakyasingha Dasgupta
Sakyasingha Dasgupta publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Neural dynamics and brain function, Advanced Memory and Neural Computing and Neural Networks and Reservoir Computing.
- World rank
- #1,920,907 of 7,710,434 ranked researchers
- Rank in Germany
- #94,835 of 364,343
- Works
- 50
- Citations
- 920
- Citations per work
- 18.4
What does Sakyasingha Dasgupta research?
Sakyasingha Dasgupta's work is mostly in Computer Science (50%), Engineering (15%), Neuroscience (13%).
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 Sciences3365.8%
- Computer Science2550.4%
- Engineering815.4%
- Everything else918.1%
- Life Sciences713.3%
- Neuroscience713.3%
- Social Sciences12.8%
- Decision Sciences12.8%
- 1Artificial Intelligence30% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Cognitive Neuroscience13% of their works
- 4Electrical and Electronic Engineering11% of their works
- 5Biomedical Engineering4% of their works
- 6Management Science and Operations Research3% of their works
Research topics
- Neural dynamics and brain function
- Advanced Memory and Neural Computing
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Reinforcement Learning in Robotics
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Image and Video Retrieval Techniques
Which keywords describe Sakyasingha Dasgupta's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Cortical Networks, Neuronal Oscillations, Memristor, Neuromorphic Computing, Neuromorphic Photonics and Photonic Reservoir Computing.
- Local Descriptors
- Image Synthesis
- Self-Organizing Maps
- Reinforcement Learning
- Convolutional Neural Networks
- Photonic Reservoir Computing
- Neuromorphic Computing
- Neuronal Oscillations
- Neural Networks
- Deep Learning
- Cortical Networks
- Memristor
- Neuromorphic Photonics
- Backpropagation Learning
- Image Recognition
- Robotics
- Generative Adversarial Networks
- Feature Matching
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 18 words, with their numbers
- Deep Learning325 topics
- Neural Networks314 topics
- Cortical Networks181 topic
- Neuronal Oscillations181 topic
- Memristor111 topic
- Neuromorphic Computing111 topic
- Neuromorphic Photonics101 topic
- Photonic Reservoir Computing101 topic
- Backpropagation Learning71 topic
- Convolutional Neural Networks71 topic
- Image Recognition71 topic
- Reinforcement Learning71 topic
- Robotics71 topic
- Self-Organizing Maps71 topic
- Generative Adversarial Networks61 topic
- Image Synthesis61 topic
- Feature Matching51 topic
- Local Descriptors51 topic
Where does Sakyasingha Dasgupta work?
Sakyasingha Dasgupta's main affiliation in the publication record is Bernstein Center for Computational Neuroscience Göttingen, Germany.
How many publications and citations does Sakyasingha Dasgupta have?
OpenAlex counts 50 works and 920 citations for Sakyasingha Dasgupta, an h-index of 14, ranking #1,920,907 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.
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