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Researcher · PathAI (United States) · United States

Harsha Pokkalla

Harsha Pokkalla publishes mostly in Oncology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Liver Disease Diagnosis and Treatment.

OpenAlex
World rank
#2,569,085
of 7,710,434 ranked researchers
Rank in United States
#754,759
of 1,627,098
Works
26
Citations
428
Citations per work
16.5
h-index
7
i10-index 5Top 78% in Oncology
Harsha Pokkalla

What does Harsha Pokkalla research?

Harsha Pokkalla's work is mostly in Medicine (52%), Computer Science (17%), Biochemistry, Genetics and Molecular Biology (3%).

Health Sciences: 13 works · 51.6% of their workMedicine: 13 works · 51.6% of their workOncology: 4 works · 16.7% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 15.2% of their workEpidemiology: 3 works · 12.1% of their workHepatology: 2 works · 7.6% of their workEverything else: 7 works · 28.7% of their workPhysical Sciences: 4 works · 16.7% of their workComputer Science: 4 works · 16.7% of their workArtificial Intelligence: 4 works · 16.7% of their workLife Sciences: 1 works · 3.0% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.0% of their workBiophysics: 1 works · 3.0% of their workTHEIR WORKHarsha Pokkalla26works
Life Sciences3%Physical Sciences17%Health Sciences52%

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
    1. Medicine1351.6%
  2. Everything else728.7%
    1. Computer Science416.7%
    1. Biochemistry, Genetics and Molecular Biology13.0%
  1. 1Oncology17% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Radiology, Nuclear Medicine and Imaging15% of their works
  4. 4Epidemiology12% of their works
  5. 5Hepatology8% of their works
  6. 6Biophysics3% of their works

Research topics

Which keywords describe Harsha Pokkalla's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Feature Extraction, Computer-Aided Detection, Histopathology Images and Medical Imaging.

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 23 words, with their numbers
  1. Machine Learning254 topics
  2. Deep Learning163 topics
  3. Convolutional Neural Networks132 topics
  4. Medical Image Analysis132 topics
  5. Feature Extraction122 topics
  6. Computer-Aided Detection111 topic
  7. Histopathology Images111 topic
  8. Medical Imaging101 topic
  9. Radiomics101 topic
  10. NAFLD71 topic
  11. NASH71 topic
  12. Epidemiology52 topics
  13. Image Processing42 topics
  14. Dermoscopy31 topic
  15. Melanoma31 topic
  16. Bioimage Analysis21 topic
  17. Cancer Genomics21 topic
  18. Crohn's Disease21 topic
  19. High-Content Screening21 topic
  20. Inflammatory Bowel Disease21 topic
  21. Leukemia Classification21 topic
  22. Malaria Parasite Detection21 topic
  23. Mutational Signatures21 topic

Where does Harsha Pokkalla work?

Harsha Pokkalla's main affiliation in the publication record is PathAI (United States), United States.

How many publications and citations does Harsha Pokkalla have?

OpenAlex counts 26 works and 428 citations for Harsha Pokkalla, an h-index of 7, ranking #2,569,085 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.

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