Mona G. Flores
Mona G. Flores publishes mostly in Artificial Intelligence, Health Informatics and Radiology, Nuclear Medicine and Imaging, on topics such as Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare and Privacy-Preserving Technologies in Data.
- World rank
- #851,592 of 7,710,434 ranked researchers
- Rank in United States
- #282,396 of 1,627,098
- Works
- 47
- Citations
- 4.9k
- Citations per work
- 104.4
What does Mona G. Flores research?
Mona G. Flores's work is mostly in Computer Science (34%), Medicine (33%), Immunology and Microbiology (5%).
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 Sciences1634.4%
- Computer Science1634.4%
- Health Sciences1532.8%
- Medicine1532.8%
- Everything else1328.1%
- Life Sciences24.7%
- 1Artificial Intelligence34% of their works
- 2Health Informatics13% of their works
- 3Radiology, Nuclear Medicine and Imaging12% of their works
- 4Immunology5% of their works
- 5Pulmonary and Respiratory Medicine5% of their works
- 6Oncology3% of their works
Research topics
Which keywords describe Mona G. Flores's research?
The keywords of their largest research topics: Machine Learning, Precision Medicine, Medical Imaging, Healthcare, Artificial Intelligence, Deep Learning, Clinical Decision Support and Ethical Challenges.
- Statistical Machine Translation
- Medical Image Analysis
- Radiomics
- Word Representation
- Chest X-Ray
- Federated Learning
- Patient Similarity
- Convolutional Neural Networks
- Ethical Challenges
- Deep Learning
- Healthcare
- Precision Medicine
- Machine Learning
- Medical Imaging
- Artificial Intelligence
- Clinical Decision Support
- Predictive Modeling
- Electronic Health Records
- Differential Privacy
- COVID-19
- Neural Networks
- Quantitative Analysis
- Histopathology Images
- Neural Machine Translation
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 24 words, with their numbers
- Machine Learning374 topics
- Precision Medicine333 topics
- Medical Imaging313 topics
- Healthcare272 topics
- Artificial Intelligence252 topics
- Deep Learning233 topics
- Clinical Decision Support171 topic
- Ethical Challenges171 topic
- Predictive Modeling162 topics
- Convolutional Neural Networks132 topics
- Electronic Health Records101 topic
- Patient Similarity101 topic
- Differential Privacy91 topic
- Federated Learning91 topic
- COVID-1981 topic
- Chest X-Ray81 topic
- Neural Networks71 topic
- Word Representation71 topic
- Quantitative Analysis61 topic
- Radiomics61 topic
- Histopathology Images51 topic
- Medical Image Analysis51 topic
- Neural Machine Translation31 topic
- Statistical Machine Translation31 topic
Where does Mona G. Flores work?
Mona G. Flores's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Mona G. Flores have?
OpenAlex counts 47 works and 4,906 citations for Mona G. Flores, an h-index of 21, ranking #851,592 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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