Science Explorer Back to mapMap
Discussion
Researcher · South Asian University · India

Ekta Walia

Ekta Walia publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, on topics such as Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques and Face and Expression Recognition.

OpenAlex
World rank
#1,076,252
of 7,710,434 ranked researchers
Rank in India
#15,373
of 280,097
Works
70
Citations
3.6k
Citations per work
51.8
h-index
21
i10-index 33Top 12% in Computer Vision and Pattern Recognition
Ekta Walia

What does Ekta Walia research?

Ekta Walia's work is mostly in Computer Science (74%), Engineering (11%), Medicine (3%).

Physical Sciences: 59 works · 84.5% of their workComputer Science: 51 works · 73.5% of their workComputer Vision and Pattern Recognition: 47 works · 66.8% of their workArtificial Intelligence: 3 works · 3.8% of their workComputer Graphics and Computer-Aided Design: 2 works · 2.9% of their workEngineering: 8 works · 11.0% of their workMedia Technology: 5 works · 6.7% of their workComputational Mechanics: 3 works · 4.3% of their workEverything else: 8 works · 12.1% of their workHealth Sciences: 2 works · 3.4% of their workMedicine: 2 works · 3.4% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 3.4% of their workTHEIR WORKEkta Walia70works
Physical Sciences85%Health Sciences3%

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 Science5173.5%
    2. Engineering811.0%
  2. Everything else812.1%
    1. Medicine23.4%
  1. 1Computer Vision and Pattern Recognition67% of their works
  2. 2Media Technology7% of their works
  3. 3Computational Mechanics4% of their works
  4. 4Artificial Intelligence4% of their works
  5. 5Radiology, Nuclear Medicine and Imaging3% of their works
  6. 6Computer Graphics and Computer-Aided Design3% of their works

Research topics

Which keywords describe Ekta Walia's research?

The keywords of their largest research topics: Deep Learning, Local Binary Patterns, Content-Based Image Retrieval, Shape Matching, Feature Matching, Local Descriptors, Support Vector Machines and Dimensionality Reduction.

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 19 words, with their numbers
  1. Deep Learning564 topics
  2. Local Binary Patterns452 topics
  3. Content-Based Image Retrieval341 topic
  4. Shape Matching341 topic
  5. Feature Matching301 topic
  6. Local Descriptors301 topic
  7. Support Vector Machines182 topics
  8. Dimensionality Reduction111 topic
  9. Face Recognition111 topic
  10. Reversible Data Embedding101 topic
  11. Steganography101 topic
  12. Image Segmentation91 topic
  13. Medical Image Analysis91 topic
  14. Chaos71 topic
  15. Hyperspectral71 topic
  16. Image Analysis71 topic
  17. Image Encryption71 topic
  18. Computer Graphics61 topic
  19. Visualization61 topic

Where does Ekta Walia work?

Ekta Walia's main affiliation in the publication record is South Asian University, India.

How many publications and citations does Ekta Walia have?

OpenAlex counts 70 works and 3,628 citations for Ekta Walia, an h-index of 21, ranking #1,076,252 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.

Discussion

Ask a question or share a note about Ekta Walia. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.