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Researcher · West Bengal State University · India

Shibaprasad Sen

Shibaprasad Sen publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, on topics such as Handwritten Text Recognition Techniques, Vehicle License Plate Recognition and Image Processing and 3D Reconstruction.

ORCID 0000-0003-4815-6621 OpenAlex
World rank
#1,047,114
of 7,710,434 ranked researchers
Rank in India
#14,833
of 280,097
Works
53
Citations
989
Citations per work
18.7
h-index
16
i10-index 21Top 21% in Computer Vision and Pattern Recognition
Shibaprasad Sen

What does Shibaprasad Sen research?

Shibaprasad Sen's work is mostly in Computer Science (65%), Engineering (15%), Medicine (3%).

Physical Sciences: 42 works · 79.9% of their workComputer Science: 34 works · 65.0% of their workComputer Vision and Pattern Recognition: 23 works · 42.9% of their workArtificial Intelligence: 8 works · 14.3% of their workHuman-Computer Interaction: 2 works · 3.9% of their workSignal Processing: 2 works · 3.9% of their workEngineering: 8 works · 14.9% of their workMedia Technology: 8 works · 14.9% of their workEverything else: 9 works · 16.9% of their workHealth Sciences: 2 works · 3.2% of their workMedicine: 2 works · 3.2% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 3.2% of their workTHEIR WORKShibaprasad Sen53works
Physical Sciences80%Health Sciences3%

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 Science3465.0%
    2. Engineering814.9%
  2. Everything else916.9%
    1. Medicine23.2%
  1. 1Computer Vision and Pattern Recognition43% of their works
  2. 2Media Technology15% of their works
  3. 3Artificial Intelligence14% of their works
  4. 4Human-Computer Interaction4% of their works
  5. 5Signal Processing4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Shibaprasad Sen's research?

The keywords of their largest research topics: Convolutional Neural Networks, Neural Networks, Deep Learning, Handwriting Recognition, Text Detection, ALPR, Automatic License Plate Recognition and Local Binary Patterns.

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. Convolutional Neural Networks502 topics
  2. Neural Networks342 topics
  3. Deep Learning313 topics
  4. Handwriting Recognition291 topic
  5. Text Detection291 topic
  6. ALPR211 topic
  7. Automatic License Plate Recognition211 topic
  8. Local Binary Patterns102 topics
  9. Fragmented Objects71 topic
  10. Reconstruction71 topic
  11. Neural Machine Translation61 topic
  12. Statistical Machine Translation61 topic
  13. Content-Based Image Retrieval51 topic
  14. Dimensionality Reduction51 topic
  15. Face Recognition51 topic
  16. Feature Matching51 topic
  17. Gesture Recognition51 topic
  18. Human-Computer Interaction51 topic
  19. Local Descriptors51 topic
  20. Shape Matching51 topic

Where does Shibaprasad Sen work?

Shibaprasad Sen's main affiliation in the publication record is West Bengal State University, India.

How many publications and citations does Shibaprasad Sen have?

OpenAlex counts 53 works and 989 citations for Shibaprasad Sen, an h-index of 16, ranking #1,047,114 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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