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Researcher · Shaheed Benazir Bhutto University · Pakistan

Raja Vavekanand

Raja Vavekanand publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, on topics such as AI in cancer detection, UAV Applications and Optimization and Artificial Intelligence in Healthcare.

ORCID 0009-0000-9120-5607 OpenAlex
World rank
#983,216
of 7,710,434 ranked researchers
Rank in Pakistan
#3,029
of 32,975
Works
36
Citations
175
Citations per work
4.9
h-index
8
i10-index 6Top 56% in Artificial Intelligence
Raja Vavekanand

What does Raja Vavekanand research?

Raja Vavekanand's work is mostly in Computer Science (24%), Medicine (14%), Engineering (5%).

Everything else: 17 works · 48.3% of their workPhysical Sciences: 10 works · 28.9% of their workComputer Science: 9 works · 24.1% of their workArtificial Intelligence: 9 works · 24.1% of their workEngineering: 2 works · 4.8% of their workAerospace Engineering: 2 works · 4.8% of their workHealth Sciences: 7 works · 19.2% of their workMedicine: 5 works · 14.4% of their workCardiology and Cardiovascular Medicine: 3 works · 7.2% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 7.2% of their workHealth Professions: 2 works · 4.8% of their workHealth Information Management: 2 works · 4.8% of their workSocial Sciences: 1 works · 3.6% of their workSocial Sciences: 1 works · 3.6% of their workSociology and Political Science: 1 works · 3.6% of their workTHEIR WORKRaja Vavekanand36works
Physical Sciences29%Health Sciences19%Social Sciences4%

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. Everything else1748.3%
    1. Computer Science924.1%
    2. Engineering24.8%
    1. Medicine514.4%
    2. Health Professions24.8%
    1. Social Sciences13.6%
  1. 1Artificial Intelligence24% of their works
  2. 2Radiology, Nuclear Medicine and Imaging7% of their works
  3. 3Cardiology and Cardiovascular Medicine7% of their works
  4. 4Aerospace Engineering5% of their works
  5. 5Health Information Management5% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Raja Vavekanand's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Healthcare, Arrhythmia Detection, Big Data Analytics, ECG Signal, Histopathology Images and Medical Diagnosis.

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 19 words, with their numbers
  1. Deep Learning103 topics
  2. Machine Learning82 topics
  3. Healthcare62 topics
  4. Arrhythmia Detection41 topic
  5. Big Data Analytics41 topic
  6. ECG Signal41 topic
  7. Histopathology Images41 topic
  8. Medical Diagnosis41 topic
  9. Medical Image Analysis41 topic
  10. UAV Networks41 topic
  11. Wireless Communications41 topic
  12. Neural Machine Translation31 topic
  13. Neural Networks31 topic
  14. Statistical Machine Translation31 topic
  15. Word Representation31 topic
  16. Brain-Computer Interfaces21 topic
  17. EEG Analysis21 topic
  18. Electronic Health Records21 topic
  19. Predictive Modeling21 topic

Where does Raja Vavekanand work?

Raja Vavekanand's main affiliation in the publication record is Shaheed Benazir Bhutto University, Pakistan.

How many publications and citations does Raja Vavekanand have?

OpenAlex counts 36 works and 175 citations for Raja Vavekanand, an h-index of 8, ranking #983,216 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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