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Researcher · Botho University · Botswana

Sreekumar Narayanan

Sreekumar Narayanan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Neural Networks and Applications, Brain Tumor Detection and Classification and AI in cancer detection.

ORCID 0000-0003-2544-9237 OpenAlex
World rank
#3,207,843
of 7,710,434 ranked researchers
Rank in Botswana
#372
of 859
Works
18
Citations
121
Citations per work
6.7
h-index
7
i10-index 3Top 65% in Artificial Intelligence
Sreekumar Narayanan

What does Sreekumar Narayanan research?

Sreekumar Narayanan's work is mostly in Computer Science (54%), Engineering (8%), Neuroscience (4%).

Physical Sciences: 11 works · 62.5% of their workComputer Science: 10 works · 54.2% of their workArtificial Intelligence: 4 works · 25.0% of their workComputer Vision and Pattern Recognition: 3 works · 14.6% of their workComputer Networks and Communications: 1 works · 8.3% of their workInformation Systems: 1 works · 6.3% of their workEngineering: 1 works · 8.3% of their workElectrical and Electronic Engineering: 1 works · 8.3% of their workEverything else: 6 works · 33.3% of their workLife Sciences: 1 works · 4.2% of their workNeuroscience: 1 works · 4.2% of their workNeurology: 1 works · 4.2% of their workTHEIR WORKSreekumarNarayanan18works
Life Sciences4%Physical Sciences62%

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 Science1054.2%
    2. Engineering18.3%
  2. Everything else633.3%
    1. Neuroscience14.2%
  1. 1Artificial Intelligence25% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Information Systems6% of their works
  6. 6Neurology4% of their works

Research topics

Which keywords describe Sreekumar Narayanan's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Artificial Neural Networks, Classification, Renewable Energy, Backpropagation Learning and Self-Organizing Maps.

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 Learning94 topics
  2. Neural Networks73 topics
  3. Machine Learning63 topics
  4. Artificial Neural Networks52 topics
  5. Classification42 topics
  6. Renewable Energy42 topics
  7. Backpropagation Learning31 topic
  8. Self-Organizing Maps31 topic
  9. Brain Tumor21 topic
  10. Delay-Tolerant Networks21 topic
  11. Dimensionality Reduction21 topic
  12. Electricity Price Forecasting21 topic
  13. Extreme Learning Machine21 topic
  14. Face Recognition21 topic
  15. Feedforward Networks21 topic
  16. Forecasting21 topic
  17. Histopathology Images21 topic
  18. Load Forecasting21 topic
  19. MRI21 topic
  20. Medical Image Analysis21 topic
  21. Mobile Ad Hoc Networks21 topic
  22. Solar Radiation21 topic

Where does Sreekumar Narayanan work?

Sreekumar Narayanan's main affiliation in the publication record is Botho University, Botswana.

How many publications and citations does Sreekumar Narayanan have?

OpenAlex counts 18 works and 121 citations for Sreekumar Narayanan, an h-index of 7, ranking #3,207,843 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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