Nahed Sharmen
Nahed Sharmen publishes mostly in Artificial Intelligence, Health Information Management and Neurology, on topics such as Artificial Intelligence in Healthcare, Brain Tumor Detection and Classification and AI in cancer detection.
- World rank
- #789,350 of 7,710,434 ranked researchers
- Rank in Bangladesh
- #923 of 14,256
- Works
- 18
- Citations
- 557
- Citations per work
- 30.9
What does Nahed Sharmen research?
Nahed Sharmen's work is mostly in Computer Science (26%), Health Professions (17%), Medicine (15%).
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
- Everything else634.1%
- Health Sciences631.9%
- Health Professions317.0%
- Medicine314.9%
- Physical Sciences525.5%
- Computer Science525.5%
- Life Sciences28.5%
- Neuroscience28.5%
- 1Artificial Intelligence19% of their works
- 2Health Information Management17% of their works
- 3Neurology8% of their works
- 4Health Informatics8% of their works
- 5Epidemiology6% of their works
- 6Computer Vision and Pattern Recognition6% of their works
Research topics
Which keywords describe Nahed Sharmen's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Healthcare, Big Data Analytics, Medical Diagnosis, Medical Imaging, Precision Medicine and Artificial Intelligence.
- Vertebrae Detection
- Object Detection
- Image Recognition
- Predictive Modeling
- Histopathology Images
- Electronic Health Records
- Clinical Decision Support
- Medical Image Analysis
- Artificial Intelligence
- Medical Imaging
- Big Data Analytics
- Deep Learning
- Machine Learning
- Healthcare
- Medical Diagnosis
- Precision Medicine
- Convolutional Neural Networks
- Brain Tumor
- Computer-Aided Detection
- Ethical Challenges
- MRI
- Dermoscopy
- Melanoma
- Spine Segmentation
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 24 words, with their numbers
- Machine Learning204 topics
- Deep Learning186 topics
- Healthcare163 topics
- Big Data Analytics81 topic
- Medical Diagnosis81 topic
- Medical Imaging82 topics
- Precision Medicine82 topics
- Artificial Intelligence62 topics
- Convolutional Neural Networks62 topics
- Medical Image Analysis62 topics
- Brain Tumor41 topic
- Clinical Decision Support41 topic
- Computer-Aided Detection41 topic
- Electronic Health Records41 topic
- Ethical Challenges41 topic
- Histopathology Images41 topic
- MRI41 topic
- Predictive Modeling41 topic
- Dermoscopy21 topic
- Image Recognition21 topic
- Melanoma21 topic
- Object Detection21 topic
- Spine Segmentation21 topic
- Vertebrae Detection21 topic
Where does Nahed Sharmen work?
Nahed Sharmen's main affiliation in the publication record is Rangamati Science and Technology University, Bangladesh.
How many publications and citations does Nahed Sharmen have?
OpenAlex counts 18 works and 557 citations for Nahed Sharmen, an h-index of 12, ranking #789,350 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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