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Researcher · École Polytechnique de Thiès · Senegal

Oumar Niang

Oumar Niang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Image and Signal Denoising Methods, Machine Fault Diagnosis Techniques and Biomedical Text Mining and Ontologies.

ORCID 0000-0002-5076-9243 OpenAlex
World rank
#3,792,419
of 7,710,434 ranked researchers
Rank in Senegal
#438
of 2,330
Works
46
Citations
1.1k
Citations per work
24.2
h-index
7
i10-index 7Top 69% in Computer Vision and Pattern Recognition
Oumar Niang

What does Oumar Niang research?

Oumar Niang's work is mostly in Computer Science (33%), Engineering (8%), Medicine (6%).

Everything else: 20 works · 42.9% of their workPhysical Sciences: 19 works · 41.2% of their workComputer Science: 15 works · 33.3% of their workComputer Vision and Pattern Recognition: 10 works · 22.2% of their workArtificial Intelligence: 5 works · 11.1% of their workEngineering: 4 works · 7.9% of their workControl and Systems Engineering: 4 works · 7.9% of their workHealth Sciences: 3 works · 6.3% of their workMedicine: 3 works · 6.3% of their workCardiology and Cardiovascular Medicine: 3 works · 6.3% of their workLife Sciences: 3 works · 5.6% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 5.6% of their workMolecular Biology: 3 works · 5.6% of their workSocial Sciences: 2 works · 4.0% of their workSocial Sciences: 2 works · 4.0% of their workLinguistics and Language: 2 works · 4.0% of their workTHEIR WORKOumar Niang46works
Life Sciences6%Physical Sciences41%Health Sciences6%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 else2042.9%
    1. Computer Science1533.3%
    2. Engineering47.9%
    1. Medicine36.3%
    1. Biochemistry, Genetics and Molecular Biology35.6%
    1. Social Sciences24.0%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Control and Systems Engineering8% of their works
  4. 4Cardiology and Cardiovascular Medicine6% of their works
  5. 5Molecular Biology6% of their works
  6. 6Linguistics and Language4% of their works

Research topics

Which keywords describe Oumar Niang's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Image Denoising, Sparse Representations, Cryptanalysis, Empirical Mode Decomposition, Fault Diagnosis and Security Analysis.

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 Learning304 topics
  2. Wavelet Transform253 topics
  3. Image Denoising121 topic
  4. Sparse Representations121 topic
  5. Cryptanalysis82 topics
  6. Empirical Mode Decomposition81 topic
  7. Fault Diagnosis81 topic
  8. Security Analysis82 topics
  9. Arrhythmia Detection51 topic
  10. Biomedical Ontologies51 topic
  11. ECG Signal51 topic
  12. Image Segmentation51 topic
  13. Medical Image Analysis51 topic
  14. Text Mining51 topic
  15. Vibration-based Damage Identification51 topic
  16. Wireless Sensors51 topic
  17. Block Ciphers41 topic
  18. Chaos41 topic
  19. Hash Functions41 topic
  20. Image Encryption41 topic

Where does Oumar Niang work?

Oumar Niang's main affiliation in the publication record is École Polytechnique de Thiès, Senegal.

How many publications and citations does Oumar Niang have?

OpenAlex counts 46 works and 1,111 citations for Oumar Niang, an h-index of 7, ranking #3,792,419 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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