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Researcher · Sectra (Sweden) · Sweden

Daniel Forsberg

Daniel Forsberg publishes mostly in Computer Vision and Pattern Recognition, Surgery and Radiology, Nuclear Medicine and Imaging, on topics such as Medical Image Segmentation Techniques, Medical Imaging and Analysis and Spinal Fractures and Fixation Techniques.

ORCID 0000-0003-0908-9470 OpenAlex
World rank
#1,409,140
of 7,710,434 ranked researchers
Rank in Sweden
#18,201
of 71,437
Works
67
Citations
1.6k
Citations per work
23.3
h-index
18
i10-index 26Top 17% in Computer Vision and Pattern Recognition
Daniel Forsberg

What does Daniel Forsberg research?

Daniel Forsberg's work is mostly in Medicine (26%), Computer Science (22%), Engineering (7%).

Everything else: 30 works · 44.6% of their workPhysical Sciences: 19 works · 29.1% of their workComputer Science: 15 works · 21.8% of their workComputer Vision and Pattern Recognition: 11 works · 16.2% of their workArtificial Intelligence: 4 works · 5.6% of their workEngineering: 5 works · 7.3% of their workBiomedical Engineering: 5 works · 7.3% of their workHealth Sciences: 18 works · 26.3% of their workMedicine: 18 works · 26.3% of their workSurgery: 7 works · 10.1% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 9.5% of their workPulmonary and Respiratory Medicine: 4 works · 6.7% of their workTHEIR WORKDaniel Forsberg67works
Physical Sciences29%Health Sciences26%

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 else3044.6%
    1. Computer Science1521.8%
    2. Engineering57.3%
    1. Medicine1826.3%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Surgery10% of their works
  3. 3Radiology, Nuclear Medicine and Imaging10% of their works
  4. 4Biomedical Engineering7% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Daniel Forsberg's research?

The keywords of their largest research topics: Deep Learning, Medical Image Analysis, Graph Cuts, Image Segmentation, Spine Segmentation, Vertebrae Detection, Pedicle Screw Fixation and Vertebroplasty.

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.

All 18 words, with their numbers
  1. Deep Learning343 topics
  2. Medical Image Analysis343 topics
  3. Graph Cuts171 topic
  4. Image Segmentation171 topic
  5. Spine Segmentation101 topic
  6. Vertebrae Detection101 topic
  7. Pedicle Screw Fixation91 topic
  8. Vertebroplasty91 topic
  9. Computer-Aided Detection71 topic
  10. Digital Mammography71 topic
  11. Histopathology Images71 topic
  12. Intervertebral Disc71 topic
  13. Lumbar Disc Degeneration71 topic
  14. Mammographic Density71 topic
  15. 3D Mapping61 topic
  16. Radiology Errors61 topic
  17. SLAM61 topic
  18. Structured Reporting61 topic

Where does Daniel Forsberg work?

Daniel Forsberg's main affiliation in the publication record is Sectra (Sweden), Sweden.

How many publications and citations does Daniel Forsberg have?

OpenAlex counts 67 works and 1,562 citations for Daniel Forsberg, an h-index of 18, ranking #1,409,140 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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