Benjamin Provencher
Benjamin Provencher publishes mostly in Biomedical Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, on topics such as Advanced X-ray and CT Imaging, Machine Learning in Materials Science and Electron and X-Ray Spectroscopy Techniques.
- World rank
- #3,336,151 of 7,710,434 ranked researchers
- Rank in Canada
- #106,145 of 183,316
- Works
- 19
- Citations
- 292
- Citations per work
- 15.4
What does Benjamin Provencher research?
Benjamin Provencher's work is mostly in Engineering (23%), Materials Science (21%), Computer Science (10%).
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 Sciences1053.8%
- Engineering423.1%
- Materials Science421.1%
- Computer Science29.6%
- Everything else738.5%
- Life Sciences17.7%
- 1Biomedical Engineering14% of their works
- 2Materials Chemistry12% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Mechanical Engineering10% of their works
- 5Surfaces, Coatings and Films10% of their works
- 6Structural Biology8% of their works
Research topics
Which keywords describe Benjamin Provencher's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Image Processing, Dual-Energy CT, High-Throughput, Material Differentiation, Materials Informatics and Convolutional Neural Networks.
- Object Detection
- Image Recognition
- Medical Image Analysis
- High-Content Screening
- Single-Particle Analysis
- X-ray Photoelectron Spectroscopy
- Convolutional Neural Networks
- Material Differentiation
- Dual-Energy CT
- Deep Learning
- Machine Learning
- Image Processing
- High-Throughput
- Materials Informatics
- Scanning Electron Microscopy
- Cryo-Electron Microscopy
- Bioimage Analysis
- Histopathology Images
- Comminution
- Mineral Liberation Analysis
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 20 words, with their numbers
- Machine Learning144 topics
- Deep Learning83 topics
- Image Processing72 topics
- Dual-Energy CT61 topic
- High-Throughput61 topic
- Material Differentiation61 topic
- Materials Informatics61 topic
- Convolutional Neural Networks52 topics
- Scanning Electron Microscopy51 topic
- X-ray Photoelectron Spectroscopy51 topic
- Cryo-Electron Microscopy41 topic
- Single-Particle Analysis41 topic
- Bioimage Analysis31 topic
- High-Content Screening31 topic
- Histopathology Images31 topic
- Medical Image Analysis31 topic
- Comminution21 topic
- Image Recognition21 topic
- Mineral Liberation Analysis21 topic
- Object Detection21 topic
Where does Benjamin Provencher work?
Benjamin Provencher's main affiliation in the publication record is Object Research Systems (Canada), Canada.
How many publications and citations does Benjamin Provencher have?
OpenAlex counts 19 works and 292 citations for Benjamin Provencher, an h-index of 8, ranking #3,336,151 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.
Other researchers named Benjamin Provencher
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
Ask a question or share a note about Benjamin Provencher. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.