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Researcher · Global Academy of Technology · ??

Snigdha Sen

Snigdha Sen publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as MRI in cancer diagnosis, Anomaly Detection Techniques and Applications and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0001-7909-5193 OpenAlex
World rank
#5,077,566
of 7,710,434 ranked researchers
Rank in ??
#10,899
of 21,892
Works
55
Citations
336
Citations per work
6.1
h-index
9
i10-index 9Top 62% in Radiology, Nuclear Medicine and Imaging
Snigdha Sen

What does Snigdha Sen research?

Snigdha Sen's work is mostly in Computer Science (33%), Medicine (19%), Environmental Science (3%).

Everything else: 24 works · 43.3% of their workPhysical Sciences: 21 works · 38.0% of their workComputer Science: 18 works · 32.6% of their workComputer Vision and Pattern Recognition: 9 works · 16.0% of their workArtificial Intelligence: 7 works · 13.3% of their workSignal Processing: 2 works · 3.3% of their workEnvironmental Science: 1 works · 2.7% of their workEcology: 1 works · 2.7% of their workPhysics and Astronomy: 1 works · 2.7% of their workInstrumentation: 1 works · 2.7% of their workHealth Sciences: 10 works · 18.7% of their workMedicine: 10 works · 18.7% of their workRadiology, Nuclear Medicine and Imaging: 10 works · 18.7% of their workTHEIR WORKSnigdha Sen55works
Physical Sciences38%Health Sciences19%

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 else2443.3%
    1. Computer Science1832.6%
    2. Environmental Science12.7%
    3. Physics and Astronomy12.7%
    1. Medicine1018.7%
  1. 1Radiology, Nuclear Medicine and Imaging19% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Artificial Intelligence13% of their works
  4. 4Signal Processing3% of their works
  5. 5Instrumentation3% of their works
  6. 6Ecology3% of their works

Research topics

Which keywords describe Snigdha Sen's research?

The keywords of their largest research topics: Magnetic Resonance Imaging, Perfusion Imaging, Deep Learning, Machine Learning, Breast MRI, Diffusion-Weighted Imaging, Anomaly Detection and Medical Imaging.

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. Magnetic Resonance Imaging112 topics
  2. Perfusion Imaging112 topics
  3. Deep Learning102 topics
  4. Machine Learning102 topics
  5. Breast MRI71 topic
  6. Diffusion-Weighted Imaging71 topic
  7. Anomaly Detection61 topic
  8. Medical Imaging61 topic
  9. Radiomics61 topic
  10. Unsupervised61 topic
  11. Astronomical Instrumentation41 topic
  12. Diffusion MRI41 topic
  13. Optical 3D Laser Measurement41 topic
  14. Parallel Imaging41 topic
  15. Position-Sensitive Detector41 topic
  16. Remote Sensing41 topic
  17. Spectrograph41 topic
  18. Spectroscopy41 topic
  19. Vegetation Monitoring41 topic
  20. White Matter41 topic

Where does Snigdha Sen work?

Snigdha Sen's main affiliation in the publication record is Global Academy of Technology, ??.

How many publications and citations does Snigdha Sen have?

OpenAlex counts 55 works and 336 citations for Snigdha Sen, an h-index of 9, ranking #5,077,566 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.

Other researchers named Snigdha Sen

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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