Madhu Gautam
Madhu Gautam publishes mostly in Artificial Intelligence, Health Information Management and Global and Planetary Change, on topics such as Artificial Intelligence in Healthcare, COVID-19 diagnosis using AI and Machine Learning in Healthcare.
- World rank
- #4,480,411 of 7,710,434 ranked researchers
- Rank in Japan
- #129,733 of 383,136
- Works
- 21
- Citations
- 168
- Citations per work
- 8.0
What does Madhu Gautam research?
Madhu Gautam's work is mostly in Computer Science (29%), Environmental Science (10%), Health Professions (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 Sciences1045.9%
- Computer Science629.2%
- Environmental Science210.4%
- Earth and Planetary Sciences16.3%
- Everything else733.3%
- Health Sciences420.8%
- Health Professions210.4%
- Medicine210.4%
- 1Artificial Intelligence23% of their works
- 2Health Information Management10% of their works
- 3Global and Planetary Change10% of their works
- 4Radiology, Nuclear Medicine and Imaging10% of their works
- 5Atmospheric Science6% of their works
- 6Computer Vision and Pattern Recognition6% of their works
Research topics
Which keywords describe Madhu Gautam's research?
The keywords of their largest research topics: Deep Learning, Healthcare, Machine Learning, Convolutional Neural Networks, Big Data Analytics, Medical Diagnosis, Medical Imaging and Transfer Learning.
- MRI
- Water Resources
- Hydrological Modeling
- Global Warming
- Predictive Modeling
- Hyperparameter Optimization
- Climate Change
- Chest X-Ray
- Transfer Learning
- Medical Diagnosis
- Convolutional Neural Networks
- Healthcare
- Deep Learning
- Machine Learning
- Big Data Analytics
- Medical Imaging
- COVID-19
- Classification
- Electronic Health Records
- Noisy Labels
- Extreme Events
- Histopathology Images
- Medical Image Analysis
- Brain Tumor
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 24 words, with their numbers
- Deep Learning104 topics
- Healthcare82 topics
- Machine Learning83 topics
- Convolutional Neural Networks62 topics
- Big Data Analytics51 topic
- Medical Diagnosis51 topic
- Medical Imaging52 topics
- Transfer Learning52 topics
- COVID-1941 topic
- Chest X-Ray41 topic
- Classification42 topics
- Climate Change42 topics
- Electronic Health Records31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Predictive Modeling31 topic
- Extreme Events21 topic
- Global Warming21 topic
- Histopathology Images21 topic
- Hydrological Modeling21 topic
- Medical Image Analysis21 topic
- Water Resources21 topic
- Brain Tumor11 topic
- MRI11 topic
Where does Madhu Gautam work?
Madhu Gautam's main affiliation in the publication record is Urawa University, Japan.
How many publications and citations does Madhu Gautam have?
OpenAlex counts 21 works and 168 citations for Madhu Gautam, an h-index of 4, ranking #4,480,411 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.
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.
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