Jorge Daniel Mello-Román
Jorge Daniel Mello-Román publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Spectroscopy and Chemometric Analyses, Cell Image Analysis Techniques and Imbalanced Data Classification Techniques.
- World rank
- #2,613,785 of 7,710,434 ranked researchers
- Rank in Paraguay
- #45 of 884
- Works
- 20
- Citations
- 274
- Citations per work
- 13.7
What does Jorge Daniel Mello-Román research?
Jorge Daniel Mello-Román's work is mostly in Computer Science (38%), Chemistry (8%), Social Sciences (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 Sciences945.0%
- Computer Science837.5%
- Chemistry27.5%
- Everything else842.5%
- Social Sciences27.5%
- Social Sciences27.5%
- Life Sciences15.0%
- 1Artificial Intelligence18% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Information Systems8% of their works
- 4Education8% of their works
- 5Analytical Chemistry8% of their works
- 6Biophysics5% of their works
Research topics
Which keywords describe Jorge Daniel Mello-Román's research?
The keywords of their largest research topics: Deep Learning, Image Processing, Machine Learning, Multivariate Calibration, Near-Infrared Spectroscopy, Bioimage Analysis, Classification and Contrast Enhancement.
- Scientific Data Management
- Medical Imaging
- Imbalanced Data
- Educational Data Mining
- Data Sharing
- Classification
- Bioimage Analysis
- Multivariate Calibration
- Image Processing
- Deep Learning
- Machine Learning
- Near-Infrared Spectroscopy
- COVID-19
- Contrast Enhancement
- Dehazing
- High-Content Screening
- Learning Analytics
- Reproducibility
- Scientific Workflows
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 19 words, with their numbers
- Deep Learning63 topics
- Image Processing42 topics
- Machine Learning42 topics
- Multivariate Calibration31 topic
- Near-Infrared Spectroscopy31 topic
- Bioimage Analysis21 topic
- COVID-1921 topic
- Classification21 topic
- Contrast Enhancement21 topic
- Data Sharing21 topic
- Dehazing21 topic
- Educational Data Mining21 topic
- High-Content Screening21 topic
- Imbalanced Data21 topic
- Learning Analytics21 topic
- Medical Imaging21 topic
- Reproducibility21 topic
- Scientific Data Management21 topic
- Scientific Workflows21 topic
Where does Jorge Daniel Mello-Román work?
Jorge Daniel Mello-Román's main affiliation in the publication record is Universidad Nacional de Concepción, Paraguay.
How many publications and citations does Jorge Daniel Mello-Román have?
OpenAlex counts 20 works and 274 citations for Jorge Daniel Mello-Román, an h-index of 7, ranking #2,613,785 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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