Pranjal Awasthi
Pranjal Awasthi publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, on topics such as Machine Learning and Algorithms, Adversarial Robustness in Machine Learning and Complexity and Algorithms in Graphs.
- World rank
- #1,174,049 of 7,710,434 ranked researchers
- Rank in United States
- #377,359 of 1,627,098
- Works
- 142
- Citations
- 1.5k
- Citations per work
- 10.5
What does Pranjal Awasthi research?
Pranjal Awasthi's work is mostly in Computer Science (68%), Decision Sciences (5%), Engineering (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 Sciences10271.8%
- Computer Science9768.3%
- Engineering53.5%
- Everything else3423.6%
- Social Sciences74.6%
- Decision Sciences74.6%
- 1Artificial Intelligence52% of their works
- 2Computational Theory and Mathematics7% of their works
- 3Computer Vision and Pattern Recognition6% of their works
- 4Management Science and Operations Research5% of their works
- 5Computational Mechanics4% of their works
- 6Computer Networks and Communications4% of their works
Research topics
- Machine Learning and Algorithms
- Adversarial Robustness in Machine Learning
- Complexity and Algorithms in Graphs
- Algorithms and Data Compression
- Machine Learning and Data Classification
- Sparse and Compressive Sensing Techniques
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
Which keywords describe Pranjal Awasthi's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Active Learning, Semi-Supervised Learning, Neural Networks, Adversarial Examples, Robustness and Approximation Algorithms.
- Anomaly Detection
- Differential Privacy
- Sparse Representation
- Hyperparameter Optimization
- Compressed Sensing
- Approximation Algorithms
- Adversarial Examples
- Semi-Supervised Learning
- Deep Learning
- Machine Learning
- Active Learning
- Neural Networks
- Robustness
- Combinatorial Optimization
- Compression
- Noisy Labels
- Suffix Arrays
- Federated Learning
- Unsupervised
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
- Machine Learning843 topics
- Deep Learning833 topics
- Active Learning471 topic
- Semi-Supervised Learning471 topic
- Neural Networks362 topics
- Adversarial Examples261 topic
- Robustness261 topic
- Approximation Algorithms191 topic
- Combinatorial Optimization191 topic
- Compressed Sensing131 topic
- Compression131 topic
- Hyperparameter Optimization131 topic
- Noisy Labels131 topic
- Sparse Representation131 topic
- Suffix Arrays131 topic
- Differential Privacy111 topic
- Federated Learning111 topic
- Anomaly Detection101 topic
- Unsupervised101 topic
Where does Pranjal Awasthi work?
Pranjal Awasthi's main affiliation in the publication record is Carnegie Mellon University, United States.
How many publications and citations does Pranjal Awasthi have?
OpenAlex counts 142 works and 1,497 citations for Pranjal Awasthi, an h-index of 22, ranking #1,174,049 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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