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Researcher · Bennett University · India

Ankur Maurya

Ankur Maurya publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, on topics such as Image and Signal Denoising Methods, Advanced Image Fusion Techniques and Image Enhancement Techniques.

ORCID 0000-0002-6543-2651 OpenAlex
World rank
#3,517,206
of 7,710,434 ranked researchers
Rank in India
#78,187
of 280,097
Works
22
Citations
128
Citations per work
5.8
h-index
4
i10-index 3Top 94% in Computer Vision and Pattern Recognition
Ankur Maurya

What does Ankur Maurya research?

Ankur Maurya's work is mostly in Computer Science (30%), Engineering (15%), Neuroscience (7%).

Physical Sciences: 10 works · 45.0% of their workComputer Science: 7 works · 30.0% of their workComputer Vision and Pattern Recognition: 4 works · 20.0% of their workArtificial Intelligence: 1 works · 5.0% of their workComputer Networks and Communications: 1 works · 5.0% of their workEngineering: 3 works · 15.0% of their workMedia Technology: 3 works · 15.0% of their workEverything else: 10 works · 43.3% of their workLife Sciences: 1 works · 6.7% of their workNeuroscience: 1 works · 6.7% of their workCognitive Neuroscience: 1 works · 6.7% of their workSocial Sciences: 1 works · 5.0% of their workDecision Sciences: 1 works · 5.0% of their workManagement Science and Operations Research: 1 works · 5.0% of their workTHEIR WORKAnkur Maurya22works
Life Sciences7%Physical Sciences45%Social Sciences5%

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 Science730.0%
    2. Engineering315.0%
  2. Everything else1043.3%
    1. Neuroscience16.7%
    1. Decision Sciences15.0%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Media Technology15% of their works
  3. 3Cognitive Neuroscience7% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Ankur Maurya's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Hyperspectral, Remote Sensing, Convolutional Neural Network, Convolutional Neural Networks, Classification and Feature Extraction.

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 25 words, with their numbers
  1. Deep Learning155 topics
  2. Wavelet Transform102 topics
  3. Hyperspectral82 topics
  4. Remote Sensing82 topics
  5. Convolutional Neural Network72 topics
  6. Convolutional Neural Networks72 topics
  7. Classification52 topics
  8. Feature Extraction52 topics
  9. Image Denoising51 topic
  10. Image Fusion51 topic
  11. Multispectral51 topic
  12. Sparse Representations51 topic
  13. Machine Learning42 topics
  14. Change Detection31 topic
  15. Contrast Enhancement31 topic
  16. Dehazing31 topic
  17. Image Analysis31 topic
  18. Big Data Analytics21 topic
  19. Brain Tumor21 topic
  20. Energy-Efficient Protocols21 topic
  21. Healthcare21 topic
  22. Image Recognition21 topic
  23. MRI21 topic
  24. Object Detection21 topic
  25. Wireless Sensor Networks21 topic

Where does Ankur Maurya work?

Ankur Maurya's main affiliation in the publication record is Bennett University, India.

How many publications and citations does Ankur Maurya have?

OpenAlex counts 22 works and 128 citations for Ankur Maurya, an h-index of 4, ranking #3,517,206 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.

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