Mark Jarmasz
Mark Jarmasz publishes mostly in Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging, on topics such as Functional Brain Connectivity Studies, Neural Networks and Applications and Medical Image Segmentation Techniques.
- World rank
- #4,185,129 of 7,710,434 ranked researchers
- Rank in Canada
- #128,799 of 183,316
- Works
- 16
- Citations
- 872
- Citations per work
- 54.5
What does Mark Jarmasz research?
Mark Jarmasz's work is mostly in Neuroscience (23%), Computer Science (23%), Biochemistry, Genetics and Molecular Biology (11%).
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 Sciences534.0%
- Everything else532.0%
- Physical Sciences423.4%
- Computer Science423.4%
- Health Sciences210.6%
- Medicine210.6%
- 1Cognitive Neuroscience23% of their works
- 2Molecular Biology11% of their works
- 3Radiology, Nuclear Medicine and Imaging11% of their works
- 4Artificial Intelligence11% of their works
- 5Computer Vision and Pattern Recognition8% of their works
- 6Signal Processing4% of their works
Research topics
- Functional Brain Connectivity Studies
- Neural Networks and Applications
- Medical Image Segmentation Techniques
- Advanced MRI Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Time Series Analysis and Forecasting
- Gene expression and cancer classification
- Ion channel regulation and function
Which keywords describe Mark Jarmasz's research?
The keywords of their largest research topics: Deep Learning, Functional Connectivity, Resting-State fMRI, Neural Networks, Self-Organizing Maps, Clustering, Data Analysis and Image Segmentation.
- Microarray
- Gene Expression
- Metabolomics
- Dynamic Time Warping
- Medical Image Analysis
- Image Segmentation
- Clustering
- Neural Networks
- Functional Connectivity
- Deep Learning
- Resting-State fMRI
- Self-Organizing Maps
- Data Analysis
- Magnetic Resonance Imaging
- Perfusion Imaging
- Mass Spectrometry
- Time Series
- Ion Channels
- Voltage-Gated Channels
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 19 words, with their numbers
- Deep Learning124 topics
- Functional Connectivity81 topic
- Resting-State fMRI81 topic
- Neural Networks41 topic
- Self-Organizing Maps41 topic
- Clustering32 topics
- Data Analysis32 topics
- Image Segmentation31 topic
- Magnetic Resonance Imaging31 topic
- Medical Image Analysis31 topic
- Perfusion Imaging31 topic
- Dynamic Time Warping21 topic
- Mass Spectrometry21 topic
- Metabolomics21 topic
- Time Series21 topic
- Gene Expression11 topic
- Ion Channels11 topic
- Microarray11 topic
- Voltage-Gated Channels11 topic
Where does Mark Jarmasz work?
Mark Jarmasz's main affiliation in the publication record is National Research Council Institute for Biodiagnostics, Canada.
How many publications and citations does Mark Jarmasz have?
OpenAlex counts 16 works and 872 citations for Mark Jarmasz, an h-index of 9, ranking #4,185,129 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.
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