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Researcher · Cornell University · United States

Meenakshi Khosla

Meenakshi Khosla publishes mostly in Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Face Recognition and Perception, Functional Brain Connectivity Studies and Neural dynamics and brain function.

ORCID 0000-0002-2910-6242 OpenAlex
World rank
#2,441,454
of 7,710,434 ranked researchers
Rank in United States
#722,363
of 1,627,098
Works
66
Citations
743
Citations per work
11.3
h-index
11
i10-index 13Top 59% in Cognitive Neuroscience
Meenakshi Khosla

What does Meenakshi Khosla research?

Meenakshi Khosla's work is mostly in Neuroscience (48%), Computer Science (11%), Medicine (6%).

Life Sciences: 32 works · 47.9% of their workNeuroscience: 32 works · 47.9% of their workCognitive Neuroscience: 32 works · 47.9% of their workEverything else: 16 works · 24.9% of their workPhysical Sciences: 14 works · 20.7% of their workComputer Science: 7 works · 10.7% of their workComputer Vision and Pattern Recognition: 5 works · 7.1% of their workArtificial Intelligence: 2 works · 3.6% of their workPhysics and Astronomy: 3 works · 5.3% of their workAtomic and Molecular Physics, and Optics: 3 works · 5.3% of their workEngineering: 3 works · 4.7% of their workElectrical and Electronic Engineering: 3 works · 4.7% of their workHealth Sciences: 4 works · 6.5% of their workMedicine: 4 works · 6.5% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 6.5% of their workTHEIR WORKMeenakshi Khosla66works
Life Sciences48%Physical Sciences21%Health Sciences6%

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. Neuroscience3247.9%
  2. Everything else1624.9%
    1. Computer Science710.7%
    2. Physics and Astronomy35.3%
    3. Engineering34.7%
    1. Medicine46.5%
  1. 1Cognitive Neuroscience48% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Atomic and Molecular Physics, and Optics5% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Meenakshi Khosla's research?

The keywords of their largest research topics: Face Perception, Neural Mechanisms, Functional Connectivity, Resting-State fMRI, Deep Learning, Cortical Networks, Neuronal Oscillations and Neural Networks.

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 18 words, with their numbers
  1. Face Perception221 topic
  2. Neural Mechanisms221 topic
  3. Functional Connectivity211 topic
  4. Resting-State fMRI211 topic
  5. Deep Learning194 topics
  6. Cortical Networks181 topic
  7. Neuronal Oscillations181 topic
  8. Neural Networks92 topics
  9. Neural Processing91 topic
  10. Visual Perception91 topic
  11. Magnetic Resonance Imaging61 topic
  12. Perfusion Imaging61 topic
  13. Backpropagation Learning51 topic
  14. Self-Organizing Maps51 topic
  15. Bioimage Analysis41 topic
  16. High-Content Screening41 topic
  17. Saliency Detection41 topic
  18. Visual Attention41 topic

Where does Meenakshi Khosla work?

Meenakshi Khosla's main affiliation in the publication record is Cornell University, United States.

How many publications and citations does Meenakshi Khosla have?

OpenAlex counts 66 works and 743 citations for Meenakshi Khosla, an h-index of 11, ranking #2,441,454 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.

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