Science Explorer Back to mapMap
Discussion
Researcher · Indian Institute of Information Technology and Management, Kerala · India

S. Shakthi Priyadharshini

S. Shakthi Priyadharshini publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, on topics such as Video Surveillance and Tracking Methods, Optimization and Search Problems and Robotic Path Planning Algorithms.

OpenAlex
World rank
#5,412,544
of 7,710,434 ranked researchers
Rank in India
#156,447
of 280,097
Works
17
Citations
17
Citations per work
1.0
h-index
3
i10-index 0Top 97% in Computer Vision and Pattern Recognition
S. Shakthi Priyadharshini

What does S. Shakthi Priyadharshini research?

S. Shakthi Priyadharshini's work is mostly in Computer Science (38%), Engineering (28%).

Physical Sciences: 11 works · 66.7% of their workComputer Science: 7 works · 38.5% of their workComputer Vision and Pattern Recognition: 4 works · 23.1% of their workArtificial Intelligence: 1 works · 7.7% of their workComputer Networks and Communications: 1 works · 7.7% of their workEngineering: 5 works · 28.2% of their workElectrical and Electronic Engineering: 3 works · 15.4% of their workAerospace Engineering: 1 works · 7.7% of their workCivil and Structural Engineering: 1 works · 5.1% of their workEverything else: 6 works · 33.3% of their workTHEIR WORKS. ShakthiPriyadharshini17works
Physical Sciences67%

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
    1. Computer Science738.5%
    2. Engineering528.2%
  2. Everything else633.3%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Electrical and Electronic Engineering15% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Aerospace Engineering8% of their works
  6. 6Civil and Structural Engineering5% of their works

Research topics

Which keywords describe S. Shakthi Priyadharshini's research?

The keywords of their largest research topics: Deep Learning, Real-time Tracking, Convolutional Neural Networks, Object Tracking, Visual Tracking, Gesture Recognition, Home Automation and Human-Computer Interaction.

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
  1. Deep Learning63 topics
  2. Real-time Tracking52 topics
  3. Convolutional Neural Networks42 topics
  4. Object Tracking31 topic
  5. Visual Tracking31 topic
  6. Gesture Recognition21 topic
  7. Home Automation21 topic
  8. Human-Computer Interaction21 topic
  9. Mobile Robots21 topic
  10. Online Algorithms21 topic
  11. Optimal Motion Planning21 topic
  12. Sampling-Based Algorithms21 topic
  13. Wireless21 topic
  14. Acoustic Modeling11 topic
  15. Brain Tumor11 topic
  16. Deep Neural Networks11 topic
  17. MRI11 topic
  18. Markov Decision Processes11 topic
  19. Spoken Dialogue Systems11 topic

Where does S. Shakthi Priyadharshini work?

S. Shakthi Priyadharshini's main affiliation in the publication record is Indian Institute of Information Technology and Management, Kerala, India.

How many publications and citations does S. Shakthi Priyadharshini have?

OpenAlex counts 17 works and 17 citations for S. Shakthi Priyadharshini, an h-index of 3, ranking #5,412,544 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.

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.

Discussion

Ask a question or share a note about S. Shakthi Priyadharshini. Posts are plain text and can be reported.