Iván Hidalgo-Cenalmor
Iván Hidalgo-Cenalmor publishes mostly in Biophysics, Artificial Intelligence and Information Systems and Management, on topics such as Cell Image Analysis Techniques, Scientific Computing and Data Management and Advanced Fluorescence Microscopy Techniques.
- World rank
- #2,328,854 of 7,710,434 ranked researchers
- Rank in Finland
- #14,060 of 37,370
- Works
- 24
- Citations
- 63
- Citations per work
- 2.6
What does Iván Hidalgo-Cenalmor research?
Iván Hidalgo-Cenalmor's work is mostly in Biochemistry, Genetics and Molecular Biology (40%), Computer Science (25%), Decision Sciences (12%).
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 Sciences1039.6%
- Physical Sciences831.3%
- Computer Science625.0%
- Engineering26.3%
- Everything else416.6%
- Social Sciences312.5%
- Decision Sciences312.5%
- 1Biophysics31% of their works
- 2Artificial Intelligence17% of their works
- 3Information Systems and Management12% of their works
- 4Molecular Biology8% of their works
- 5Computer Vision and Pattern Recognition8% of their works
- 6Media Technology6% of their works
Research topics
- Cell Image Analysis Techniques
- Scientific Computing and Data Management
- Advanced Fluorescence Microscopy Techniques
- Image Processing Techniques and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Computational Physics and Python Applications
- Neural Networks and Applications
- Machine Learning and Data Classification
Which keywords describe Iván Hidalgo-Cenalmor's research?
The keywords of their largest research topics: Image Processing, Microscopy, Deep Learning, Machine Learning, Bioimage Analysis, High-Content Screening, Bioinformatics and Neural Networks.
- Training
- Scientific Computing
- Noisy Labels
- Education
- Depth Estimation
- Super-Resolution Imaging
- Scientific Workflows
- Neural Networks
- High-Content Screening
- Machine Learning
- Microscopy
- Image Processing
- Deep Learning
- Bioimage Analysis
- Bioinformatics
- Reproducibility
- Fluorescent Proteins
- Autofocusing
- Backpropagation Learning
- Hyperparameter Optimization
- Python
- Self-Organizing Maps
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 22 words, with their numbers
- Image Processing142 topics
- Microscopy142 topics
- Deep Learning132 topics
- Machine Learning132 topics
- Bioimage Analysis111 topic
- High-Content Screening111 topic
- Bioinformatics72 topics
- Neural Networks52 topics
- Reproducibility51 topic
- Scientific Workflows51 topic
- Fluorescent Proteins41 topic
- Super-Resolution Imaging41 topic
- Autofocusing31 topic
- Depth Estimation31 topic
- Backpropagation Learning21 topic
- Education21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Python21 topic
- Scientific Computing21 topic
- Self-Organizing Maps21 topic
- Training21 topic
Where does Iván Hidalgo-Cenalmor work?
Iván Hidalgo-Cenalmor's main affiliation in the publication record is Åbo Akademi University, Finland.
How many publications and citations does Iván Hidalgo-Cenalmor have?
OpenAlex counts 24 works and 63 citations for Iván Hidalgo-Cenalmor, an h-index of 5, ranking #2,328,854 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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