Md Ishtyaq Mahmud
Md Ishtyaq Mahmud publishes mostly in Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biophysics, on topics such as Single-cell and spatial transcriptomics, Cell Image Analysis Techniques and Gene expression and cancer classification.
- World rank
- #692,445 of 7,710,434 ranked researchers
- Rank in United States
- #234,316 of 1,627,098
- Works
- 31
- Citations
- 680
- Citations per work
- 21.9
What does Md Ishtyaq Mahmud research?
Md Ishtyaq Mahmud's work is mostly in Biochemistry, Genetics and Molecular Biology (41%), Computer Science (17%), Medicine (13%).
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
- Life Sciences1340.8%
- Everything else929.1%
- Physical Sciences517.2%
- Computer Science517.2%
- Health Sciences412.9%
- Medicine412.9%
- 1Molecular Biology29% of their works
- 2Radiology, Nuclear Medicine and Imaging13% of their works
- 3Biophysics12% of their works
- 4Artificial Intelligence9% of their works
- 5Hardware and Architecture4% of their works
- 6Computer Vision and Pattern Recognition4% of their works
Research topics
- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- Gene expression and cancer classification
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Physical Unclonable Functions (PUFs) and Hardware Security
- COVID-19 diagnosis using AI
- Bioinformatics and Genomic Networks
Which keywords describe Md Ishtyaq Mahmud's research?
The keywords of their largest research topics: Machine Learning, Gene Expression, Deep Learning, Single-Cell, Transcriptomics, Bioimage Analysis, High-Content Screening and Medical Imaging.
- Gene Set Enrichment Analysis
- Medical Image Analysis
- Hardware Trojans
- COVID-19
- Quantitative Analysis
- Data Analysis
- Medical Imaging
- Bioimage Analysis
- Single-Cell
- Gene Expression
- Machine Learning
- Deep Learning
- Transcriptomics
- High-Content Screening
- Convolutional Neural Networks
- Microarray
- Radiomics
- Chest X-Ray
- Histopathology Images
- Physical Unclonable Functions
- Protein-Protein Interaction Networks
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
- Machine Learning304 topics
- Gene Expression222 topics
- Deep Learning193 topics
- Single-Cell141 topic
- Transcriptomics141 topic
- Bioimage Analysis111 topic
- High-Content Screening111 topic
- Medical Imaging112 topics
- Convolutional Neural Networks82 topics
- Data Analysis81 topic
- Microarray81 topic
- Quantitative Analysis71 topic
- Radiomics71 topic
- COVID-1941 topic
- Chest X-Ray41 topic
- Hardware Trojans41 topic
- Histopathology Images41 topic
- Medical Image Analysis41 topic
- Physical Unclonable Functions41 topic
- Gene Set Enrichment Analysis31 topic
- Protein-Protein Interaction Networks31 topic
Where does Md Ishtyaq Mahmud work?
Md Ishtyaq Mahmud's main affiliation in the publication record is Central Michigan University, United States.
How many publications and citations does Md Ishtyaq Mahmud have?
OpenAlex counts 31 works and 680 citations for Md Ishtyaq Mahmud, an h-index of 9, ranking #692,445 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.
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