Tapas Badal
Tapas Badal publishes mostly in Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, on topics such as Video Surveillance and Tracking Methods, Human Pose and Action Recognition and Cloud Computing and Resource Management.
- World rank
- #2,806,605 of 7,710,434 ranked researchers
- Rank in India
- #55,681 of 280,097
- Works
- 48
- Citations
- 515
- Citations per work
- 10.7
What does Tapas Badal research?
Tapas Badal's work is mostly in Computer Science (73%), Engineering (2%).
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 Sciences3675.3%
- Computer Science3573.0%
- Engineering12.3%
- Everything else1224.7%
- 1Computer Vision and Pattern Recognition40% of their works
- 2Computer Networks and Communications11% of their works
- 3Artificial Intelligence11% of their works
- 4Information Systems8% of their works
- 5Hardware and Architecture2% of their works
- 6Aerospace Engineering2% of their works
Research topics
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Advanced Vision and Imaging
- Anomaly Detection Techniques and Applications
- Distributed and Parallel Computing Systems
- Generative Adversarial Networks and Image Synthesis
Which keywords describe Tapas Badal's research?
The keywords of their largest research topics: Deep Learning, Object Tracking, Visual Tracking, Convolutional Networks, Distributed Systems, Resource Management, Unsupervised Learning and Action Recognition.
- Unsupervised
- Image Synthesis
- Generative Adversarial Networks
- Stereo Vision
- Internet of Things
- Pose Estimation
- Cloud Computing
- Action Recognition
- Resource Management
- Convolutional Networks
- Object Tracking
- Deep Learning
- Visual Tracking
- Distributed Systems
- Unsupervised Learning
- Big Data
- Neural Networks
- Edge Computing
- Depth Estimation
- Anomaly Detection
- Grid Computing
- Task Scheduling
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 22 words, with their numbers
- Deep Learning375 topics
- Object Tracking151 topic
- Visual Tracking151 topic
- Convolutional Networks132 topics
- Distributed Systems122 topics
- Resource Management122 topics
- Unsupervised Learning92 topics
- Action Recognition81 topic
- Big Data81 topic
- Cloud Computing81 topic
- Neural Networks82 topics
- Pose Estimation81 topic
- Edge Computing61 topic
- Internet of Things61 topic
- Depth Estimation51 topic
- Stereo Vision51 topic
- Anomaly Detection41 topic
- Generative Adversarial Networks41 topic
- Grid Computing41 topic
- Image Synthesis41 topic
- Task Scheduling41 topic
- Unsupervised41 topic
Where does Tapas Badal work?
Tapas Badal's main affiliation in the publication record is Bennett University, India.
How many publications and citations does Tapas Badal have?
OpenAlex counts 48 works and 515 citations for Tapas Badal, an h-index of 10, ranking #2,806,605 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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