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Researcher · Engineering School of Information and Digital Technologies · France

Mano Joseph Mathew

Mano Joseph Mathew publishes mostly in Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and SARS-CoV-2 and COVID-19 Research.

ORCID 0000-0002-4930-6903 OpenAlex
World rank
#2,303,908
of 7,710,434 ranked researchers
Rank in France
#99,024
of 324,115
Works
46
Citations
415
Citations per work
9.0
h-index
10
i10-index 12Top 76% in Molecular Biology
Mano Joseph Mathew

What does Mano Joseph Mathew research?

Mano Joseph Mathew's work is mostly in Medicine (16%), Biochemistry, Genetics and Molecular Biology (11%), Immunology and Microbiology (10%).

Everything else: 25 works · 54.9% of their workLife Sciences: 10 works · 21.7% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 11.3% of their workMolecular Biology: 5 works · 11.3% of their workImmunology and Microbiology: 5 works · 10.4% of their workImmunology: 5 works · 10.4% of their workHealth Sciences: 8 works · 16.4% of their workMedicine: 8 works · 16.4% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 7.8% of their workInfectious Diseases: 2 works · 4.3% of their workPublic Health, Environmental and Occupational Health: 2 works · 4.3% of their workPhysical Sciences: 3 works · 7.0% of their workComputer Science: 3 works · 7.0% of their workArtificial Intelligence: 3 works · 7.0% of their workTHEIR WORKMano JosephMathew46works
Life Sciences22%Physical Sciences7%Health Sciences16%

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 else2554.9%
    1. Biochemistry, Genetics and Molecular Biology511.3%
    2. Immunology and Microbiology510.4%
    1. Medicine816.4%
    1. Computer Science37.0%
  1. 1Molecular Biology11% of their works
  2. 2Immunology10% of their works
  3. 3Radiology, Nuclear Medicine and Imaging8% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Infectious Diseases4% of their works
  6. 6Public Health, Environmental and Occupational Health4% of their works

Research topics

Which keywords describe Mano Joseph Mathew's research?

The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Deep Learning, Feature Extraction, Histopathology Images, Medical Imaging and Radiomics.

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 Learning163 topics
  2. Convolutional Neural Networks112 topics
  3. Medical Image Analysis112 topics
  4. Deep Learning81 topic
  5. Feature Extraction82 topics
  6. Histopathology Images81 topic
  7. Medical Imaging51 topic
  8. Radiomics51 topic
  9. Coronavirus41 topic
  10. SARS-CoV-241 topic
  11. Epitope Prediction31 topic
  12. Leukemia Classification31 topic
  13. Malaria Parasite Detection31 topic
  14. NK Cell Recognition31 topic
  15. Natural Killer Cells31 topic
  16. Peptide-MHC Binding31 topic
  17. Amoebae21 topic
  18. Antibiotic Resistance21 topic
  19. Antimicrobial Stewardship21 topic
  20. Legionella21 topic

Where does Mano Joseph Mathew work?

Mano Joseph Mathew's main affiliation in the publication record is Engineering School of Information and Digital Technologies, France.

How many publications and citations does Mano Joseph Mathew have?

OpenAlex counts 46 works and 415 citations for Mano Joseph Mathew, an h-index of 10, ranking #2,303,908 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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