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Researcher · Ngee Ann Polytechnic · Singapore

K. Thomas Abraham

K. Thomas Abraham publishes mostly in Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Computational Drug Discovery Methods, Genetics, Bioinformatics, and Biomedical Research and Machine Learning in Bioinformatics.

ORCID 0009-0002-9269-2536 OpenAlex
World rank
#1,360,339
of 7,710,434 ranked researchers
Rank in Singapore
#7,184
of 23,642
Works
16
Citations
489
Citations per work
30.6
h-index
6
i10-index 6Top 94% in Molecular Biology
K. Thomas Abraham

What does K. Thomas Abraham research?

K. Thomas Abraham's work is mostly in Computer Science (22%), Biochemistry, Genetics and Molecular Biology (20%), Engineering (15%).

Physical Sciences: 6 works · 37.5% of their workComputer Science: 4 works · 22.5% of their workComputer Vision and Pattern Recognition: 2 works · 12.5% of their workArtificial Intelligence: 2 works · 10.0% of their workEngineering: 2 works · 15.0% of their workBiomedical Engineering: 1 works · 7.5% of their workMechanical Engineering: 1 works · 7.5% of their workEverything else: 6 works · 35.0% of their workLife Sciences: 3 works · 20.0% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 20.0% of their workMolecular Biology: 3 works · 20.0% of their workHealth Sciences: 1 works · 7.5% of their workMedicine: 1 works · 7.5% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 7.5% of their workTHEIR WORKK. Thomas Abraham16works
Life Sciences20%Physical Sciences38%Health Sciences8%

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 Science422.5%
    2. Engineering215.0%
  2. Everything else635.0%
    1. Biochemistry, Genetics and Molecular Biology320.0%
    1. Medicine17.5%
  1. 1Molecular Biology20% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Biomedical Engineering8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging8% of their works
  6. 6Mechanical Engineering8% of their works

Research topics

Which keywords describe K. Thomas Abraham's research?

The keywords of their largest research topics: Machine Learning, Bioinformatics, Molecular Docking, Virtual Screening, Content-Based Image Retrieval, Deep Learning, Education and Machining.

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 18 words, with their numbers
  1. Machine Learning105 topics
  2. Bioinformatics53 topics
  3. Molecular Docking31 topic
  4. Virtual Screening31 topic
  5. Content-Based Image Retrieval21 topic
  6. Deep Learning21 topic
  7. Education21 topic
  8. Machining21 topic
  9. Medical Image Analysis21 topic
  10. Parkinson's Disease21 topic
  11. Protein21 topic
  12. Shape Matching21 topic
  13. Subcellular Localization21 topic
  14. Surface Integrity21 topic
  15. Training21 topic
  16. Voice Disorders21 topic
  17. Gene Expression11 topic
  18. Microarray11 topic

Where does K. Thomas Abraham work?

K. Thomas Abraham's main affiliation in the publication record is Ngee Ann Polytechnic, Singapore.

How many publications and citations does K. Thomas Abraham have?

OpenAlex counts 16 works and 489 citations for K. Thomas Abraham, an h-index of 6, ranking #1,360,339 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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