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Researcher · Bennett University · India

Pranshu Saxena

Pranshu Saxena publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Digital Imaging for Blood Diseases.

ORCID 0000-0002-0822-1532 OpenAlex
World rank
#2,524,718
of 7,710,434 ranked researchers
Rank in India
#47,906
of 280,097
Works
53
Citations
257
Citations per work
4.8
h-index
9
i10-index 8Top 49% in Artificial Intelligence
Pranshu Saxena

What does Pranshu Saxena research?

Pranshu Saxena's work is mostly in Computer Science (42%), Medicine (14%), Engineering (8%).

Physical Sciences: 27 works · 50.1% of their workComputer Science: 23 works · 42.5% of their workArtificial Intelligence: 12 works · 23.5% of their workComputer Vision and Pattern Recognition: 6 works · 11.4% of their workComputer Networks and Communications: 4 works · 7.6% of their workEngineering: 4 works · 7.6% of their workBiomedical Engineering: 2 works · 3.8% of their workElectrical and Electronic Engineering: 2 works · 3.8% of their workEverything else: 19 works · 36.3% of their workHealth Sciences: 7 works · 13.6% of their workMedicine: 7 works · 13.6% of their workRadiology, Nuclear Medicine and Imaging: 7 works · 13.6% of their workTHEIR WORKPranshu Saxena53works
Physical Sciences50%Health Sciences14%

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. Computer Science2342.5%
    2. Engineering47.6%
  2. Everything else1936.3%
    1. Medicine713.6%
  1. 1Artificial Intelligence24% of their works
  2. 2Radiology, Nuclear Medicine and Imaging14% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Pranshu Saxena's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Feature Extraction 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 25 words, with their numbers
  1. Machine Learning466 topics
  2. Deep Learning345 topics
  3. Convolutional Neural Networks303 topics
  4. Medical Image Analysis262 topics
  5. Computer-Aided Detection201 topic
  6. Histopathology Images201 topic
  7. Feature Extraction162 topics
  8. Medical Imaging142 topics
  9. Precision Medicine132 topics
  10. Predictive Modeling132 topics
  11. Image Processing102 topics
  12. Quantitative Analysis101 topic
  13. Radiomics101 topic
  14. Leukemia Classification61 topic
  15. Malaria Parasite Detection61 topic
  16. Bioimage Analysis41 topic
  17. COVID-1941 topic
  18. Chest X-Ray41 topic
  19. High-Content Screening41 topic
  20. Electronic Health Records31 topic
  21. Gene Expression31 topic
  22. Healthcare31 topic
  23. Microarray31 topic
  24. Opinion Mining31 topic
  25. Sentiment Analysis31 topic

Where does Pranshu Saxena work?

Pranshu Saxena's main affiliation in the publication record is Bennett University, India.

How many publications and citations does Pranshu Saxena have?

OpenAlex counts 53 works and 257 citations for Pranshu Saxena, an h-index of 9, ranking #2,524,718 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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