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Researcher · Indian Institute of Technology Indore · India

Ram Bilas Pachori

Ram Bilas Pachori publishes mostly in Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine, on topics such as EEG and Brain-Computer Interfaces, Blind Source Separation Techniques and ECG Monitoring and Analysis.

ORCID 0000-0002-6061-4309 OpenAlex
World rank
#11,052
of 7,710,434 ranked researchers
Rank in India
#114
of 280,097
Works
454
Citations
19k
Citations per work
41.9
h-index
76
i10-index 261Top 1% in Cognitive Neuroscience
Ram Bilas Pachori

What does Ram Bilas Pachori research?

Ram Bilas Pachori's work is mostly in Computer Science (27%), Neuroscience (19%), Medicine (12%).

Everything else: 166 works · 36.5% of their workPhysical Sciences: 150 works · 33.0% of their workComputer Science: 122 works · 26.8% of their workSignal Processing: 65 works · 14.3% of their workComputer Vision and Pattern Recognition: 30 works · 6.5% of their workArtificial Intelligence: 27 works · 6.0% of their workEngineering: 28 works · 6.2% of their workControl and Systems Engineering: 28 works · 6.2% of their workLife Sciences: 84 works · 18.6% of their workNeuroscience: 84 works · 18.6% of their workCognitive Neuroscience: 84 works · 18.6% of their workHealth Sciences: 54 works · 11.9% of their workMedicine: 54 works · 11.9% of their workCardiology and Cardiovascular Medicine: 54 works · 11.9% of their workTHEIR WORKRam Bilas Pachori454works
Life Sciences19%Physical Sciences33%Health Sciences12%

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 else16636.5%
    1. Computer Science12226.8%
    2. Engineering286.2%
    1. Neuroscience8418.6%
    1. Medicine5411.9%
  1. 1Cognitive Neuroscience19% of their works
  2. 2Signal Processing14% of their works
  3. 3Cardiology and Cardiovascular Medicine12% of their works
  4. 4Computer Vision and Pattern Recognition6% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Ram Bilas Pachori's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Brain-Computer Interfaces, EEG Analysis, Classification, Blind Separation, Independent Component Analysis and Arrhythmia Detection.

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 20 words, with their numbers
  1. Deep Learning2535 topics
  2. Wavelet Transform2033 topics
  3. Brain-Computer Interfaces1991 topic
  4. EEG Analysis1991 topic
  5. Classification1382 topics
  6. Blind Separation1361 topic
  7. Independent Component Analysis1361 topic
  8. Arrhythmia Detection1131 topic
  9. ECG Signal1131 topic
  10. Machine Learning792 topics
  11. Empirical Mode Decomposition541 topic
  12. Fault Diagnosis541 topic
  13. Photoplethysmography401 topic
  14. Remote Monitoring401 topic
  15. Image Denoising361 topic
  16. Sparse Representations361 topic
  17. Diabetic Retinopathy251 topic
  18. Heart Sound251 topic
  19. Lung Sound251 topic
  20. Retinal Disease251 topic

Where does Ram Bilas Pachori work?

Ram Bilas Pachori's main affiliation in the publication record is Indian Institute of Technology Indore, India.

How many publications and citations does Ram Bilas Pachori have?

OpenAlex counts 454 works and 19,016 citations for Ram Bilas Pachori, an h-index of 76, ranking #11,052 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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