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Researcher · Bankura University · India

Tapas Si

Tapas Si publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications and Medical Image Segmentation Techniques.

ORCID 0000-0001-8267-0304 OpenAlex
World rank
#1,773,146
of 7,710,434 ranked researchers
Rank in India
#29,421
of 280,097
Works
102
Citations
861
Citations per work
8.4
h-index
15
i10-index 30Top 22% in Artificial Intelligence
Tapas Si

What does Tapas Si research?

Tapas Si's work is mostly in Computer Science (56%), Medicine (7%), Neuroscience (4%).

Physical Sciences: 61 works · 59.6% of their workComputer Science: 57 works · 56.1% of their workArtificial Intelligence: 38 works · 36.9% of their workComputer Vision and Pattern Recognition: 15 works · 15.0% of their workComputational Theory and Mathematics: 4 works · 4.2% of their workEngineering: 4 works · 3.5% of their workControl and Systems Engineering: 4 works · 3.5% of their workEverything else: 29 works · 28.9% of their workHealth Sciences: 7 works · 7.0% of their workMedicine: 7 works · 7.0% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 7.0% of their workLife Sciences: 5 works · 4.5% of their workNeuroscience: 5 works · 4.5% of their workNeurology: 5 works · 4.5% of their workTHEIR WORKTapas Si102works
Life Sciences4%Physical Sciences60%Health Sciences7%

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 Science5756.1%
    2. Engineering43.5%
  2. Everything else2928.9%
    1. Medicine77.0%
    1. Neuroscience54.5%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Radiology, Nuclear Medicine and Imaging7% of their works
  4. 4Neurology4% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Tapas Si's research?

The keywords of their largest research topics: Evolutionary Algorithms, Deep Learning, Particle Swarm Optimization, Machine Learning, Ant Colony Optimization, Differential Evolution, Classification and Multiobjective Optimization.

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 25 words, with their numbers
  1. Evolutionary Algorithms693 topics
  2. Deep Learning484 topics
  3. Particle Swarm Optimization482 topics
  4. Machine Learning463 topics
  5. Ant Colony Optimization361 topic
  6. Differential Evolution361 topic
  7. Classification342 topics
  8. Multiobjective Optimization332 topics
  9. Image Segmentation272 topics
  10. Medical Image Analysis262 topics
  11. Convolutional Neural Networks212 topics
  12. Feature Selection211 topic
  13. Genetic Programming211 topic
  14. Active Contours141 topic
  15. Graph Cuts141 topic
  16. Brain Tumor131 topic
  17. MRI131 topic
  18. Computer-Aided Detection121 topic
  19. Genetic Algorithm121 topic
  20. Histopathology Images121 topic
  21. Surrogate Modeling121 topic
  22. Breast MRI101 topic
  23. Diffusion-Weighted Imaging101 topic
  24. Image Recognition91 topic
  25. Object Detection91 topic

Where does Tapas Si work?

Tapas Si's main affiliation in the publication record is Bankura University, India.

How many publications and citations does Tapas Si have?

OpenAlex counts 102 works and 861 citations for Tapas Si, an h-index of 15, ranking #1,773,146 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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