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Researcher · University of Hyogo · Japan

Rashedur Rahman

Rashedur Rahman publishes mostly in Biomedical Engineering, Cardiology and Cardiovascular Medicine and Surgery, on topics such as Medical Imaging and Analysis, Pelvic and Acetabular Injuries and COVID-19 diagnosis using AI.

ORCID 0000-0003-0267-2612 OpenAlex
World rank
#6,140,856
of 7,710,434 ranked researchers
Rank in Japan
#233,341
of 383,136
Works
36
Citations
143
Citations per work
4.0
h-index
5
i10-index 5Top 93% in Biomedical Engineering
Rashedur Rahman

What does Rashedur Rahman research?

Rashedur Rahman's work is mostly in Medicine (33%), Computer Science (16%), Engineering (16%).

Everything else: 13 works · 35.4% of their workHealth Sciences: 12 works · 33.3% of their workMedicine: 12 works · 33.3% of their workCardiology and Cardiovascular Medicine: 4 works · 12.5% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 10.4% of their workSurgery: 4 works · 10.4% of their workPhysical Sciences: 11 works · 31.3% of their workComputer Science: 6 works · 15.7% of their workComputer Vision and Pattern Recognition: 3 works · 9.4% of their workArtificial Intelligence: 2 works · 6.3% of their workEngineering: 6 works · 15.6% of their workBiomedical Engineering: 6 works · 15.6% of their workTHEIR WORKRashedur Rahman36works
Physical Sciences31%Health Sciences33%

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 else1335.4%
    1. Medicine1233.3%
    1. Computer Science615.7%
    2. Engineering615.6%
  1. 1Biomedical Engineering16% of their works
  2. 2Cardiology and Cardiovascular Medicine12% of their works
  3. 3Surgery10% of their works
  4. 4Radiology, Nuclear Medicine and Imaging10% of their works
  5. 5Computer Vision and Pattern Recognition9% of their works
  6. 6Artificial Intelligence6% of their works

Research topics

Which keywords describe Rashedur Rahman's research?

The keywords of their largest research topics: Deep Learning, Artificial Intelligence, Spine Segmentation, Vertebrae Detection, Medical Imaging, Transfer Learning, Acetabular Fractures and Pelvic Fractures.

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 20 words, with their numbers
  1. Deep Learning183 topics
  2. Artificial Intelligence142 topics
  3. Spine Segmentation91 topic
  4. Vertebrae Detection91 topic
  5. Medical Imaging82 topics
  6. Transfer Learning82 topics
  7. Acetabular Fractures61 topic
  8. Pelvic Fractures61 topic
  9. COVID-1951 topic
  10. Convolutional Neural Networks51 topic
  11. Arrhythmia Detection41 topic
  12. ECG Signal41 topic
  13. Acute Coronary Syndromes31 topic
  14. Arrhythmias31 topic
  15. Domain Adaptation31 topic
  16. Few-Shot Learning31 topic
  17. Long-QT Syndrome31 topic
  18. Myocardial Infarction31 topic
  19. Quantitative Analysis31 topic
  20. Radiomics31 topic

Where does Rashedur Rahman work?

Rashedur Rahman's main affiliation in the publication record is University of Hyogo, Japan.

How many publications and citations does Rashedur Rahman have?

OpenAlex counts 36 works and 143 citations for Rashedur Rahman, an h-index of 5, ranking #6,140,856 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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