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Researcher · East West University · Bangladesh

Karib Shams

Karib Shams publishes mostly in Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Smart Agriculture and AI, AI in cancer detection and Advanced Neural Network Applications.

ORCID 0009-0005-2790-8734 OpenAlex
World rank
#6,179,782
of 7,710,434 ranked researchers
Rank in Bangladesh
#11,323
of 14,256
Works
16
Citations
12
Citations per work
0.8
h-index
2
i10-index 0Top 98% in Plant Science
Karib Shams

What does Karib Shams research?

Karib Shams's work is mostly in Computer Science (28%), Agricultural and Biological Sciences (22%), Engineering (9%).

Physical Sciences: 7 works · 43.4% of their workComputer Science: 5 works · 28.2% of their workArtificial Intelligence: 2 works · 15.2% of their workComputer Vision and Pattern Recognition: 2 works · 13.0% of their workEngineering: 1 works · 8.7% of their workBiomedical Engineering: 1 works · 8.7% of their workEnvironmental Science: 1 works · 6.5% of their workEcology: 1 works · 6.5% of their workEverything else: 5 works · 28.4% of their workLife Sciences: 3 works · 21.7% of their workAgricultural and Biological Sciences: 3 works · 21.7% of their workPlant Science: 3 works · 21.7% of their workHealth Sciences: 1 works · 6.5% of their workMedicine: 1 works · 6.5% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 6.5% of their workTHEIR WORKKarib Shams16works
Life Sciences22%Physical Sciences43%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. Computer Science528.2%
    2. Engineering18.7%
    3. Environmental Science16.5%
  2. Everything else528.4%
    1. Agricultural and Biological Sciences321.7%
    1. Medicine16.5%
  1. 1Plant Science22% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Biomedical Engineering9% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Ecology6% of their works

Research topics

Which keywords describe Karib Shams's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Plant Disease Detection, Smart Farming, Computer-Aided Detection and Histopathology Images.

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 22 words, with their numbers
  1. Deep Learning185 topics
  2. Machine Learning154 topics
  3. Convolutional Neural Networks72 topics
  4. Medical Image Analysis72 topics
  5. Plant Disease Detection61 topic
  6. Smart Farming61 topic
  7. Computer-Aided Detection41 topic
  8. Histopathology Images41 topic
  9. Precision Medicine42 topics
  10. Predictive Modeling42 topics
  11. Image Recognition31 topic
  12. Object Detection31 topic
  13. Remote Sensing31 topic
  14. Spine Segmentation31 topic
  15. Vegetation Monitoring31 topic
  16. Vertebrae Detection31 topic
  17. Electronic Health Records21 topic
  18. Functional–Structural Plant Modelling21 topic
  19. Healthcare21 topic
  20. Medical Imaging21 topic
  21. Plant Architecture21 topic
  22. Radiomics21 topic

Where does Karib Shams work?

Karib Shams's main affiliation in the publication record is East West University, Bangladesh.

How many publications and citations does Karib Shams have?

OpenAlex counts 16 works and 12 citations for Karib Shams, an h-index of 2, ranking #6,179,782 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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