Prashant Shekhar
Prashant Shekhar publishes mostly in Civil and Structural Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Neural Networks and Applications, Anomaly Detection Techniques and Applications and Adversarial Robustness in Machine Learning.
- World rank
- #1,618,908 of 1,633,909 ranked researchers
- Rank in United States
- #355,942 of 358,040
- Works
- 17
- Citations
- 4
- Citations per work
- 0.2
What does Prashant Shekhar research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Civil and Structural Engineering15% of their works
- 2Artificial Intelligence15% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Atmospheric Science10% of their works
- 5Signal Processing10% of their works
- 6Electrical and Electronic Engineering10% of their works
Research topics
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Energy Efficient Wireless Sensor Networks
- Image and Signal Denoising Methods
- Generative Adversarial Networks and Image Synthesis
- Blind Source Separation Techniques
- Time Series Analysis and Forecasting
Which keywords describe Prashant Shekhar's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Time Series, Adversarial Examples, Anomaly Detection, Backpropagation Learning, Blind Separation and Clustering.
- Unsupervised
- Self-Organizing Maps
- Independent Component Analysis
- Image Denoising
- Energy-Efficient Protocols
- Clustering
- Backpropagation Learning
- Adversarial Examples
- Neural Networks
- Deep Learning
- Time Series
- Anomaly Detection
- Blind Separation
- Dynamic Time Warping
- Generative Adversarial Networks
- Image Synthesis
- Robustness
- Sparse Representations
- Wireless Sensor Networks
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 Learning66 topics
- Neural Networks44 topics
- Time Series22 topics
- Adversarial Examples11 topic
- Anomaly Detection11 topic
- Backpropagation Learning11 topic
- Blind Separation11 topic
- Clustering11 topic
- Dynamic Time Warping11 topic
- Energy-Efficient Protocols11 topic
- Generative Adversarial Networks11 topic
- Image Denoising11 topic
- Image Synthesis11 topic
- Independent Component Analysis11 topic
- Robustness11 topic
- Self-Organizing Maps11 topic
- Sparse Representations11 topic
- Unsupervised11 topic
- Wireless Sensor Networks11 topic
Where does Prashant Shekhar work?
Prashant Shekhar's main affiliation in the publication record is Embry–Riddle Aeronautical University, United States.
How many publications and citations does Prashant Shekhar have?
Science Explorer counts 17 works and 4 citations for Prashant Shekhar, ranking #1,618,908 of 1,633,909 researchers worldwide on the composite 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.