Akhil Kondepudi
Akhil Kondepudi publishes mostly in Biophysics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Cell Image Analysis Techniques, Spectroscopy Techniques in Biomedical and Chemical Research and Artificial Intelligence in Healthcare and Education.
- World rank
- #1,956,553 of 7,710,434 ranked researchers
- Rank in United States
- #595,580 of 1,627,098
- Works
- 35
- Citations
- 414
- Citations per work
- 11.8
What does Akhil Kondepudi research?
Akhil Kondepudi's work is mostly in Biochemistry, Genetics and Molecular Biology (24%), Medicine (22%), Computer Science (20%).
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
- Everything else1027.5%
- Physical Sciences925.5%
- Computer Science719.6%
- Engineering25.9%
- Life Sciences924.5%
- Health Sciences822.5%
- Medicine822.5%
- 1Biophysics24% of their works
- 2Radiology, Nuclear Medicine and Imaging15% of their works
- 3Artificial Intelligence10% of their works
- 4Computer Vision and Pattern Recognition10% of their works
- 5Health Informatics8% of their works
- 6Biomedical Engineering6% of their works
Research topics
- Cell Image Analysis Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Brain Tumor Detection and Classification
- AI in cancer detection
- Machine Learning in Healthcare
- Image Processing Techniques and Applications
Which keywords describe Akhil Kondepudi's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Imaging, Precision Medicine, Image Processing, Microscopy, Bioimage Analysis and High-Content Screening.
- Medical Image Analysis
- Histopathology Images
- Depth Estimation
- Autofocusing
- Quantitative Analysis
- Artificial Intelligence
- Infrared Spectroscopy
- Healthcare
- High-Content Screening
- Microscopy
- Precision Medicine
- Deep Learning
- Machine Learning
- Medical Imaging
- Image Processing
- Bioimage Analysis
- Feature Extraction
- Predictive Modeling
- Raman Spectroscopy
- Clinical Decision Support
- Radiomics
- Brain Tumor
- Electronic Health Records
- MRI
- Patient Similarity
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 25 words, with their numbers
- Machine Learning405 topics
- Deep Learning294 topics
- Medical Imaging213 topics
- Precision Medicine213 topics
- Image Processing192 topics
- Microscopy192 topics
- Bioimage Analysis141 topic
- High-Content Screening141 topic
- Feature Extraction132 topics
- Healthcare132 topics
- Predictive Modeling132 topics
- Infrared Spectroscopy101 topic
- Raman Spectroscopy101 topic
- Artificial Intelligence81 topic
- Clinical Decision Support81 topic
- Quantitative Analysis81 topic
- Radiomics81 topic
- Autofocusing51 topic
- Brain Tumor51 topic
- Depth Estimation51 topic
- Electronic Health Records51 topic
- Histopathology Images51 topic
- MRI51 topic
- Medical Image Analysis51 topic
- Patient Similarity51 topic
Where does Akhil Kondepudi work?
Akhil Kondepudi's main affiliation in the publication record is University of Michigan, United States.
How many publications and citations does Akhil Kondepudi have?
OpenAlex counts 35 works and 414 citations for Akhil Kondepudi, an h-index of 7, ranking #1,956,553 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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