Muhammad Sakib Khan Inan
Muhammad Sakib Khan Inan publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Brain Tumor Detection and Classification.
- World rank
- #1,671,042 of 7,710,434 ranked researchers
- Rank in Bangladesh
- #2,257 of 14,256
- Works
- 16
- Citations
- 285
- Citations per work
- 17.8
What does Muhammad Sakib Khan Inan research?
Muhammad Sakib Khan Inan's work is mostly in Computer Science (40%), Medicine (12%), Neuroscience (8%).
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
- Physical Sciences745.0%
- Computer Science640.0%
- Environmental Science15.0%
- Everything else635.0%
- Health Sciences212.5%
- Medicine212.5%
- Life Sciences17.5%
- Neuroscience17.5%
- 1Artificial Intelligence28% of their works
- 2Radiology, Nuclear Medicine and Imaging12% of their works
- 3Neurology8% of their works
- 4Signal Processing8% of their works
- 5Management, Monitoring, Policy and Law5% of their works
- 6Computer Vision and Pattern Recognition5% of their works
Research topics
Which keywords describe Muhammad Sakib Khan Inan's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Feature Extraction, Medical Imaging, Histopathology Images, Medical Image Analysis, Time Series and Quantitative Analysis.
- Plant Breeding
- Food Supply Chain
- Hazard
- Clustering
- MRI
- Anomaly Detection
- Quantitative Analysis
- Medical Image Analysis
- Medical Imaging
- Machine Learning
- Deep Learning
- Feature Extraction
- Histopathology Images
- Time Series
- Radiomics
- Brain Tumor
- Unsupervised
- Dynamic Time Warping
- Landslide
- Genomic Selection
- Traceability
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 21 words, with their numbers
- Deep Learning134 topics
- Machine Learning123 topics
- Feature Extraction93 topics
- Medical Imaging72 topics
- Histopathology Images51 topic
- Medical Image Analysis51 topic
- Time Series52 topics
- Quantitative Analysis41 topic
- Radiomics41 topic
- Anomaly Detection31 topic
- Brain Tumor31 topic
- MRI31 topic
- Unsupervised31 topic
- Clustering21 topic
- Dynamic Time Warping21 topic
- Hazard21 topic
- Landslide21 topic
- Food Supply Chain11 topic
- Genomic Selection11 topic
- Plant Breeding11 topic
- Traceability11 topic
Where does Muhammad Sakib Khan Inan work?
Muhammad Sakib Khan Inan's main affiliation in the publication record is East Delta University, Bangladesh.
How many publications and citations does Muhammad Sakib Khan Inan have?
OpenAlex counts 16 works and 285 citations for Muhammad Sakib Khan Inan, an h-index of 6, ranking #1,671,042 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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