Science Explorer Back to mapMap
Discussion
Researcher · Multimedia University · Malaysia

Kannan Ramakrishnan

Kannan Ramakrishnan publishes mostly in Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, on topics such as Advanced Data Compression Techniques, ECG Monitoring and Analysis and EEG and Brain-Computer Interfaces.

ORCID 0000-0002-5314-7327 OpenAlex
World rank
#2,777,939
of 7,710,434 ranked researchers
Rank in Malaysia
#11,667
of 41,196
Works
43
Citations
340
Citations per work
7.9
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Kannan Ramakrishnan

What does Kannan Ramakrishnan research?

Kannan Ramakrishnan's work is mostly in Computer Science (33%), Medicine (4%), Social Sciences (4%).

Everything else: 25 works · 58.5% of their workPhysical Sciences: 14 works · 32.7% of their workComputer Science: 14 works · 32.7% of their workComputer Vision and Pattern Recognition: 8 works · 17.7% of their workArtificial Intelligence: 2 works · 5.3% of their workInformation Systems: 2 works · 5.3% of their workComputer Networks and Communications: 2 works · 4.4% of their workHealth Sciences: 2 works · 4.4% of their workMedicine: 2 works · 4.4% of their workCardiology and Cardiovascular Medicine: 2 works · 4.4% of their workSocial Sciences: 2 works · 4.4% of their workSocial Sciences: 2 works · 4.4% of their workSociology and Political Science: 2 works · 4.4% of their workTHEIR WORKKannanRamakrishnan43works
Physical Sciences33%Health Sciences4%Social Sciences4%

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 else2558.5%
    1. Computer Science1432.7%
    1. Medicine24.4%
    1. Social Sciences24.4%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Information Systems5% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Computer Networks and Communications4% of their works
  5. 5Cardiology and Cardiovascular Medicine4% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Kannan Ramakrishnan's research?

The keywords of their largest research topics: Deep Learning, Classification, Hyperspectral Imaging, Wavelet Transform, Arrhythmia Detection, ECG Signal, JPEG2000 and Wavelet Compression.

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 20 words, with their numbers
  1. Deep Learning124 topics
  2. Classification62 topics
  3. Hyperspectral Imaging62 topics
  4. Wavelet Transform62 topics
  5. Arrhythmia Detection41 topic
  6. ECG Signal41 topic
  7. JPEG200041 topic
  8. Wavelet Compression41 topic
  9. Brain-Computer Interfaces31 topic
  10. CMOS31 topic
  11. Content-Based Image Retrieval31 topic
  12. EEG Analysis31 topic
  13. Low-Power31 topic
  14. Shape Matching31 topic
  15. Feature Matching21 topic
  16. Image Denoising21 topic
  17. Imbalanced Data21 topic
  18. Local Descriptors21 topic
  19. SMOTE21 topic
  20. Sparse Representations21 topic

Where does Kannan Ramakrishnan work?

Kannan Ramakrishnan's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does Kannan Ramakrishnan have?

OpenAlex counts 43 works and 340 citations for Kannan Ramakrishnan, an h-index of 10, ranking #2,777,939 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.

Discussion

Ask a question or share a note about Kannan Ramakrishnan. Posts are plain text and can be reported.