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Researcher · GE Global Research (United States) · United States

Thomas B. Sebastian

Thomas B. Sebastian publishes mostly in Computer Vision and Pattern Recognition, Molecular Biology and Atomic and Molecular Physics, and Optics, on topics such as Video Surveillance and Tracking Methods, Magnetic properties of thin films and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-1126-3629 OpenAlex
World rank
#645,217
of 7,710,434 ranked researchers
Rank in United States
#219,927
of 1,627,098
Works
65
Citations
4.7k
Citations per work
71.6
h-index
25
i10-index 40Top 8.1% in Computer Vision and Pattern Recognition
Thomas B. Sebastian

What does Thomas B. Sebastian research?

Thomas B. Sebastian's work is mostly in Computer Science (31%), Biochemistry, Genetics and Molecular Biology (19%), Physics and Astronomy (8%).

Physical Sciences: 32 works · 49.5% of their workComputer Science: 20 works · 31.1% of their workComputer Vision and Pattern Recognition: 20 works · 31.1% of their workPhysics and Astronomy: 5 works · 7.9% of their workAtomic and Molecular Physics, and Optics: 5 works · 7.9% of their workMaterials Science: 4 works · 6.8% of their workElectronic, Optical and Magnetic Materials: 4 works · 6.8% of their workChemistry: 2 works · 3.7% of their workOrganic Chemistry: 2 works · 3.7% of their workEverything else: 21 works · 31.6% of their workLife Sciences: 12 works · 18.9% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 18.9% of their workMolecular Biology: 11 works · 16.3% of their workCancer Research: 2 works · 2.6% of their workTHEIR WORKThomas B.Sebastian65works
Life Sciences19%Physical Sciences49%

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 Science2031.1%
    2. Physics and Astronomy57.9%
    3. Materials Science46.8%
    4. Chemistry23.7%
  2. Everything else2131.6%
    1. Biochemistry, Genetics and Molecular Biology1218.9%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Molecular Biology16% of their works
  3. 3Atomic and Molecular Physics, and Optics8% of their works
  4. 4Electronic, Optical and Magnetic Materials7% of their works
  5. 5Organic Chemistry4% of their works
  6. 6Cancer Research3% of their works

Research topics

Which keywords describe Thomas B. Sebastian's research?

The keywords of their largest research topics: Deep Learning, Spintronics, Magnetic Tunnel Junctions, Object Tracking, Skyrmions, Visual Tracking, Feature Matching and Local Descriptors.

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. Deep Learning263 topics
  2. Spintronics172 topics
  3. Magnetic Tunnel Junctions111 topic
  4. Object Tracking111 topic
  5. Skyrmions111 topic
  6. Visual Tracking111 topic
  7. Feature Matching91 topic
  8. Local Descriptors91 topic
  9. Content-Based Image Retrieval81 topic
  10. Shape Matching81 topic
  11. Action Recognition61 topic
  12. Fragmented Objects61 topic
  13. Half-Metallic61 topic
  14. Heusler Compounds61 topic
  15. Pose Estimation61 topic
  16. Reconstruction61 topic
  17. Alternative Splicing51 topic
  18. RNA-Binding Proteins51 topic

Where does Thomas B. Sebastian work?

Thomas B. Sebastian's main affiliation in the publication record is GE Global Research (United States), United States.

How many publications and citations does Thomas B. Sebastian have?

OpenAlex counts 65 works and 4,654 citations for Thomas B. Sebastian, an h-index of 25, ranking #645,217 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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