Akhil Kumar
Akhil Kumar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Face recognition and analysis, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.
- World rank
- #2,721,781 of 7,710,434 ranked researchers
- Rank in India
- #53,358 of 280,097
- Works
- 44
- Citations
- 376
- Citations per work
- 8.5
What does Akhil Kumar research?
Akhil Kumar's work is mostly in Computer Science (50%), Medicine (6%), Agricultural and Biological Sciences (3%).
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 Sciences2352.7%
- Computer Science2249.6%
- Engineering13.1%
- Everything else1737.9%
- Health Sciences36.3%
- Medicine36.3%
- Life Sciences13.1%
- 1Computer Vision and Pattern Recognition38% of their works
- 2Artificial Intelligence9% of their works
- 3Radiology, Nuclear Medicine and Imaging6% of their works
- 4Media Technology3% of their works
- 5Information Systems3% of their works
- 6Plant Science3% of their works
Research topics
Which keywords describe Akhil Kumar's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Face Recognition, Age Estimation, Facial Landmark Detection, Sparse Representation, Generative Adversarial Networks and Image Recognition.
- Local Descriptors
- Feature Matching
- Image Inpainting
- COVID-19
- Dimensionality Reduction
- Object Tracking
- Neural Networks
- Image Recognition
- Sparse Representation
- Age Estimation
- Convolutional Neural Networks
- Deep Learning
- Face Recognition
- Facial Landmark Detection
- Generative Adversarial Networks
- Medical Imaging
- Object Detection
- Visual Tracking
- Feature Selection
- Chest X-Ray
- Image Synthesis
- Image
- Super-Resolution
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 Learning397 topics
- Convolutional Neural Networks294 topics
- Face Recognition172 topics
- Age Estimation121 topic
- Facial Landmark Detection121 topic
- Sparse Representation82 topics
- Generative Adversarial Networks72 topics
- Image Recognition71 topic
- Medical Imaging72 topics
- Neural Networks72 topics
- Object Detection71 topic
- Object Tracking61 topic
- Visual Tracking61 topic
- Dimensionality Reduction51 topic
- Feature Selection51 topic
- COVID-1941 topic
- Chest X-Ray41 topic
- Image Inpainting41 topic
- Image Synthesis41 topic
- Feature Matching31 topic
- Image31 topic
- Local Descriptors31 topic
- Super-Resolution31 topic
Where does Akhil Kumar work?
Akhil Kumar's main affiliation in the publication record is Bennett University, India.
How many publications and citations does Akhil Kumar have?
OpenAlex counts 44 works and 376 citations for Akhil Kumar, an h-index of 10, ranking #2,721,781 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.
Other researchers named Akhil Kumar
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