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Researcher · Sahyadri Hospital · India

Steven Lawrence Fernandes

Steven Lawrence Fernandes publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Face and Expression Recognition, Face recognition and analysis and Biometric Identification and Security.

ORCID 0000-0002-0128-1559 OpenAlex
World rank
#161,776
of 7,710,434 ranked researchers
Rank in India
#1,682
of 280,097
Works
135
Citations
5.2k
Citations per work
38.7
h-index
36
i10-index 72Top 3.1% in Computer Vision and Pattern Recognition
Steven Lawrence Fernandes

What does Steven Lawrence Fernandes research?

Steven Lawrence Fernandes's work is mostly in Computer Science (52%), Medicine (9%), Neuroscience (4%).

Physical Sciences: 75 works · 55.3% of their workComputer Science: 70 works · 52.2% of their workComputer Vision and Pattern Recognition: 44 works · 32.8% of their workArtificial Intelligence: 18 works · 13.1% of their workSignal Processing: 9 works · 6.3% of their workEngineering: 4 works · 3.1% of their workElectrical and Electronic Engineering: 4 works · 3.1% of their workEverything else: 42 works · 31.3% of their workHealth Sciences: 13 works · 9.4% of their workMedicine: 13 works · 9.4% of their workRadiology, Nuclear Medicine and Imaging: 13 works · 9.4% of their workLife Sciences: 5 works · 4.0% of their workNeuroscience: 5 works · 4.0% of their workNeurology: 5 works · 4.0% of their workTHEIR WORKSteven LawrenceFernandes135works
Life Sciences4%Physical Sciences55%Health Sciences9%

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 Science7052.2%
    2. Engineering43.1%
  2. Everything else4231.3%
    1. Medicine139.4%
    1. Neuroscience54.0%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Radiology, Nuclear Medicine and Imaging9% of their works
  4. 4Signal Processing6% of their works
  5. 5Neurology4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Steven Lawrence Fernandes's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Convolutional Neural Networks, Feature Extraction, Machine Learning, Dimensionality Reduction, Feature Selection and Age Estimation.

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 22 words, with their numbers
  1. Deep Learning755 topics
  2. Face Recognition582 topics
  3. Convolutional Neural Networks513 topics
  4. Feature Extraction423 topics
  5. Machine Learning373 topics
  6. Dimensionality Reduction311 topic
  7. Feature Selection311 topic
  8. Age Estimation271 topic
  9. Facial Landmark Detection271 topic
  10. Medical Imaging242 topics
  11. Biometric Recognition181 topic
  12. Security181 topic
  13. Brain Tumor141 topic
  14. MRI141 topic
  15. Histopathology Images131 topic
  16. Medical Image Analysis131 topic
  17. Object Tracking111 topic
  18. Visual Tracking111 topic
  19. Diabetic Retinopathy101 topic
  20. Quantitative Analysis101 topic
  21. Radiomics101 topic
  22. Retinal Disease101 topic

Where does Steven Lawrence Fernandes work?

Steven Lawrence Fernandes's main affiliation in the publication record is Sahyadri Hospital, India.

How many publications and citations does Steven Lawrence Fernandes have?

OpenAlex counts 135 works and 5,231 citations for Steven Lawrence Fernandes, an h-index of 36, ranking #161,776 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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