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Researcher · The NorthCap University · India

Kavita Khanna

Kavita Khanna publishes mostly in Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, on topics such as Brain Tumor Detection and Classification, Artificial Intelligence in Healthcare and Advanced Vision and Imaging.

ORCID 0000-0001-5745-1206 OpenAlex
World rank
#1,472,199
of 7,710,434 ranked researchers
Rank in India
#23,150
of 280,097
Works
80
Citations
1.1k
Citations per work
14.0
h-index
15
i10-index 19Top 23% in Computer Vision and Pattern Recognition
Kavita Khanna

What does Kavita Khanna research?

Kavita Khanna's work is mostly in Computer Science (41%), Neuroscience (6%), Business, Management and Accounting (5%).

Everything else: 38 works · 47.8% of their workPhysical Sciences: 33 works · 41.1% of their workComputer Science: 33 works · 41.1% of their workComputer Vision and Pattern Recognition: 18 works · 23.0% of their workArtificial Intelligence: 5 works · 6.5% of their workComputer Networks and Communications: 5 works · 6.5% of their workSignal Processing: 4 works · 5.1% of their workLife Sciences: 5 works · 6.0% of their workNeuroscience: 5 works · 6.0% of their workNeurology: 5 works · 6.0% of their workSocial Sciences: 4 works · 5.1% of their workBusiness, Management and Accounting: 4 works · 5.1% of their workOrganizational Behavior and Human Resource Management: 4 works · 5.1% of their workTHEIR WORKKavita Khanna80works
Life Sciences6%Physical Sciences41%Social Sciences5%

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. Everything else3847.8%
    1. Computer Science3341.1%
    1. Neuroscience56.0%
    1. Business, Management and Accounting45.1%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Computer Networks and Communications6% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Neurology6% of their works
  5. 5Organizational Behavior and Human Resource Management5% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Kavita Khanna's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Data Mining, Healthcare, Brain Tumor, MRI, IoT Security and Big Data Analytics.

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 21 words, with their numbers
  1. Deep Learning385 topics
  2. Machine Learning334 topics
  3. Data Mining142 topics
  4. Healthcare142 topics
  5. Brain Tumor131 topic
  6. MRI131 topic
  7. IoT Security122 topics
  8. Big Data Analytics81 topic
  9. Medical Diagnosis81 topic
  10. Customer Satisfaction71 topic
  11. Depth Estimation71 topic
  12. Diabetic Retinopathy71 topic
  13. Retinal Disease71 topic
  14. Service Quality71 topic
  15. Stereo Vision71 topic
  16. Edge Computing61 topic
  17. Histopathology Images61 topic
  18. Internet of Things61 topic
  19. Intrusion Detection61 topic
  20. Medical Image Analysis61 topic
  21. Network Security61 topic

Where does Kavita Khanna work?

Kavita Khanna's main affiliation in the publication record is The NorthCap University, India.

How many publications and citations does Kavita Khanna have?

OpenAlex counts 80 works and 1,122 citations for Kavita Khanna, an h-index of 15, ranking #1,472,199 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

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