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Researcher · GLA University · India

Anand Singh Jalal

Anand Singh Jalal publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Media Technology, on topics such as Advanced Image and Video Retrieval Techniques, Face recognition and analysis and Image Enhancement Techniques.

ORCID 0000-0002-7469-6608 OpenAlex
World rank
#859,015
of 7,710,434 ranked researchers
Rank in India
#11,555
of 280,097
Works
201
Citations
3.8k
Citations per work
18.8
h-index
34
i10-index 80Top 3.7% in Computer Vision and Pattern Recognition
Anand Singh Jalal

What does Anand Singh Jalal research?

Anand Singh Jalal's work is mostly in Computer Science (59%), Engineering (6%), Agricultural and Biological Sciences (4%).

Physical Sciences: 136 works · 67.8% of their workComputer Science: 119 works · 59.3% of their workComputer Vision and Pattern Recognition: 95 works · 47.5% of their workSignal Processing: 13 works · 6.5% of their workArtificial Intelligence: 11 works · 5.3% of their workEngineering: 12 works · 6.0% of their workMedia Technology: 12 works · 6.0% of their workChemistry: 5 works · 2.5% of their workAnalytical Chemistry: 5 works · 2.5% of their workEverything else: 57 works · 28.2% of their workLife Sciences: 8 works · 4.0% of their workAgricultural and Biological Sciences: 8 works · 4.0% of their workPlant Science: 8 works · 4.0% of their workTHEIR WORKAnand Singh Jalal201works
Life Sciences4%Physical Sciences68%

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 Science11959.3%
    2. Engineering126.0%
    3. Chemistry52.5%
  2. Everything else5728.2%
    1. Agricultural and Biological Sciences84.0%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Signal Processing6% of their works
  3. 3Media Technology6% of their works
  4. 4Artificial Intelligence5% of their works
  5. 5Plant Science4% of their works
  6. 6Analytical Chemistry2% of their works

Research topics

Which keywords describe Anand Singh Jalal's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Convolutional Neural Networks, Image Processing, Feature Matching, Local Descriptors, Age Estimation and Facial Landmark Detection.

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 20 words, with their numbers
  1. Deep Learning1406 topics
  2. Face Recognition492 topics
  3. Convolutional Neural Networks462 topics
  4. Image Processing432 topics
  5. Feature Matching321 topic
  6. Local Descriptors321 topic
  7. Age Estimation281 topic
  8. Facial Landmark Detection281 topic
  9. Biometric Recognition261 topic
  10. Contrast Enhancement261 topic
  11. Dehazing261 topic
  12. Security261 topic
  13. Dimensionality Reduction211 topic
  14. Feature Selection211 topic
  15. Digital Forensics191 topic
  16. Image Forgery Detection191 topic
  17. Object Tracking181 topic
  18. Visual Tracking181 topic
  19. Plant Disease Detection171 topic
  20. Smart Farming171 topic

Where does Anand Singh Jalal work?

Anand Singh Jalal's main affiliation in the publication record is GLA University, India.

How many publications and citations does Anand Singh Jalal have?

OpenAlex counts 201 works and 3,777 citations for Anand Singh Jalal, an h-index of 34, ranking #859,015 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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