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Researcher · Foundation University Islamabad · Pakistan

Nabeel Ali Khan

Nabeel Ali Khan publishes mostly in Signal Processing, Control and Systems Engineering and Computer Vision and Pattern Recognition, on topics such as Blind Source Separation Techniques, Machine Fault Diagnosis Techniques and Image and Signal Denoising Methods.

ORCID 0000-0002-4977-6075 OpenAlex
World rank
#1,768,736
of 7,710,434 ranked researchers
Rank in Pakistan
#5,707
of 32,975
Works
85
Citations
1.6k
Citations per work
18.8
h-index
22
i10-index 40Top 9.2% in Signal Processing
Nabeel Ali Khan

What does Nabeel Ali Khan research?

Nabeel Ali Khan's work is mostly in Computer Science (37%), Engineering (27%).

Physical Sciences: 54 works · 64.0% of their workComputer Science: 32 works · 37.2% of their workSignal Processing: 23 works · 27.2% of their workComputer Vision and Pattern Recognition: 8 works · 10.0% of their workEngineering: 23 works · 26.8% of their workControl and Systems Engineering: 11 works · 12.6% of their workComputational Mechanics: 4 works · 5.0% of their workCivil and Structural Engineering: 4 works · 4.6% of their workElectrical and Electronic Engineering: 4 works · 4.6% of their workEverything else: 31 works · 36.0% of their workTHEIR WORKNabeel Ali Khan85works
Physical Sciences64%

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 Science3237.2%
    2. Engineering2326.8%
  2. Everything else3136.0%
  1. 1Signal Processing27% of their works
  2. 2Control and Systems Engineering13% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Computational Mechanics5% of their works
  5. 5Civil and Structural Engineering5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Nabeel Ali Khan's research?

The keywords of their largest research topics: Deep Learning, Sparse Representation, Wavelet Transform, Neural Networks, Blind Separation, Independent Component Analysis, Beamforming and Empirical Mode Decomposition.

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 21 words, with their numbers
  1. Deep Learning623 topics
  2. Sparse Representation462 topics
  3. Wavelet Transform452 topics
  4. Neural Networks402 topics
  5. Blind Separation371 topic
  6. Independent Component Analysis371 topic
  7. Beamforming262 topics
  8. Empirical Mode Decomposition231 topic
  9. Fault Diagnosis231 topic
  10. Image Denoising221 topic
  11. Sparse Representations221 topic
  12. Audio-Visual Speech Recognition171 topic
  13. Speech Enhancement171 topic
  14. Brain-Computer Interfaces101 topic
  15. EEG Analysis101 topic
  16. Array Processing91 topic
  17. Compressed Sensing91 topic
  18. Direction-of-Arrival Estimation91 topic
  19. Signal Recovery91 topic
  20. Vibration-based Damage Identification91 topic
  21. Wireless Sensors91 topic

Where does Nabeel Ali Khan work?

Nabeel Ali Khan's main affiliation in the publication record is Foundation University Islamabad, Pakistan.

How many publications and citations does Nabeel Ali Khan have?

OpenAlex counts 85 works and 1,600 citations for Nabeel Ali Khan, an h-index of 22, ranking #1,768,736 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.

Discussion

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