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Researcher · The University of Texas at El Paso · United States

Javier Vega-Pineda

Javier Vega-Pineda publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Advanced Data Compression Techniques, Image and Signal Denoising Methods and Sensor Technology and Measurement Systems.

ORCID 0000-0001-9706-9247 OpenAlex
World rank
#6,293,911
of 7,710,434 ranked researchers
Rank in United States
#1,500,374
of 1,627,098
Works
22
Citations
76
Citations per work
3.5
h-index
6
i10-index 2Top 82% in Electrical and Electronic Engineering
Javier Vega-Pineda

What does Javier Vega-Pineda research?

Javier Vega-Pineda's work is mostly in Computer Science (41%), Engineering (29%).

Physical Sciences: 16 works · 70.8% of their workComputer Science: 9 works · 41.5% of their workComputer Vision and Pattern Recognition: 5 works · 21.5% of their workComputer Networks and Communications: 2 works · 9.2% of their workSignal Processing: 1 works · 6.2% of their workArtificial Intelligence: 1 works · 4.6% of their workEngineering: 6 works · 29.3% of their workElectrical and Electronic Engineering: 5 works · 23.1% of their workAerospace Engineering: 1 works · 6.2% of their workEverything else: 6 works · 29.2% of their workTHEIR WORKJavierVega-Pineda22works
Physical Sciences71%

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 Science941.5%
    2. Engineering629.3%
  2. Everything else629.2%
  1. 1Electrical and Electronic Engineering23% of their works
  2. 2Computer Vision and Pattern Recognition22% of their works
  3. 3Computer Networks and Communications9% of their works
  4. 4Aerospace Engineering6% of their works
  5. 5Signal Processing6% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Javier Vega-Pineda's research?

The keywords of their largest research topics: Deep Learning, Hyperspectral Imaging, Artificial Neural Networks, JPEG2000, Neural Networks, Wavelet Compression, Image Denoising and Sparse Representations.

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 Learning113 topics
  2. Hyperspectral Imaging92 topics
  3. Artificial Neural Networks52 topics
  4. JPEG200051 topic
  5. Neural Networks52 topics
  6. Wavelet Compression51 topic
  7. Image Denoising41 topic
  8. Sparse Representations41 topic
  9. IEEE 145131 topic
  10. MEMS31 topic
  11. Silicon31 topic
  12. Smart Sensors31 topic
  13. Backpropagation Learning21 topic
  14. Blind Separation21 topic
  15. Camera Calibration21 topic
  16. FFT21 topic
  17. Filter Banks21 topic
  18. Independent Component Analysis21 topic
  19. Self-Organizing Maps21 topic
  20. Structured Light21 topic

Where does Javier Vega-Pineda work?

Javier Vega-Pineda's main affiliation in the publication record is The University of Texas at El Paso, United States.

How many publications and citations does Javier Vega-Pineda have?

OpenAlex counts 22 works and 76 citations for Javier Vega-Pineda, an h-index of 6, ranking #6,293,911 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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