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Researcher · General Electric (Spain) · Spain

Gopal Avinash

Gopal Avinash publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and COVID-19 diagnosis using AI.

OpenAlex
World rank
#5,062,661
of 7,710,434 ranked researchers
Rank in Spain
#118,075
of 204,306
Works
18
Citations
95
Citations per work
5.3
h-index
5
i10-index 2Top 87% in Radiology, Nuclear Medicine and Imaging
Gopal Avinash

What does Gopal Avinash research?

Gopal Avinash's work is mostly in Medicine (34%), Computer Science (29%), Engineering (16%).

Physical Sciences: 8 works · 44.8% of their workComputer Science: 5 works · 29.3% of their workArtificial Intelligence: 4 works · 20.7% of their workComputer Vision and Pattern Recognition: 2 works · 8.6% of their workEngineering: 3 works · 15.5% of their workBiomedical Engineering: 2 works · 12.1% of their workMedia Technology: 1 works · 3.4% of their workHealth Sciences: 6 works · 34.5% of their workMedicine: 6 works · 34.5% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 29.3% of their workPulmonary and Respiratory Medicine: 1 works · 5.2% of their workEverything else: 4 works · 20.7% of their workTHEIR WORKGopal Avinash18works
Physical Sciences45%Health Sciences34%

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 Science529.3%
    2. Engineering315.5%
    1. Medicine634.5%
  3. Everything else420.7%
  1. 1Radiology, Nuclear Medicine and Imaging29% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Biomedical Engineering12% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Pulmonary and Respiratory Medicine5% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Gopal Avinash's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Imaging, Convolutional Neural Networks, Quantitative Analysis, Radiomics, Chest X-Ray and COVID-19.

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. Machine Learning164 topics
  2. Deep Learning154 topics
  3. Medical Imaging122 topics
  4. Convolutional Neural Networks102 topics
  5. Quantitative Analysis71 topic
  6. Radiomics71 topic
  7. COVID-1951 topic
  8. Chest X-Ray51 topic
  9. Histopathology Images51 topic
  10. Medical Image Analysis51 topic
  11. Anomaly Detection31 topic
  12. Dual-Energy CT31 topic
  13. Material Differentiation31 topic
  14. Unsupervised31 topic
  15. Android Malware21 topic
  16. CT Screening21 topic
  17. Code Clone Detection21 topic
  18. Detection21 topic
  19. Lung Cancer21 topic
  20. Refactoring21 topic

Where does Gopal Avinash work?

Gopal Avinash's main affiliation in the publication record is General Electric (Spain), Spain.

How many publications and citations does Gopal Avinash have?

OpenAlex counts 18 works and 95 citations for Gopal Avinash, an h-index of 5, ranking #5,062,661 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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