Rajalaxmi Hegde
Rajalaxmi Hegde publishes mostly in Artificial Intelligence, Computer Networks and Communications and Health Information Management, on topics such as Artificial Intelligence in Healthcare, Machine Learning in Healthcare and IoT and Edge/Fog Computing.
- World rank
- #3,484,351 of 7,710,434 ranked researchers
- Rank in India
- #77,080 of 280,097
- Works
- 24
- Citations
- 99
- Citations per work
- 4.1
What does Rajalaxmi Hegde research?
Rajalaxmi Hegde's work is mostly in Computer Science (50%), Health Professions (14%), Engineering (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 Sciences1460.3%
- Computer Science1250.0%
- Engineering210.3%
- Everything else625.9%
- Health Sciences313.8%
- Health Professions313.8%
- 1Artificial Intelligence28% of their works
- 2Computer Networks and Communications16% of their works
- 3Health Information Management14% of their works
- 4Electrical and Electronic Engineering7% of their works
- 5Information Systems7% of their works
- 6Aerospace Engineering3% of their works
Research topics
Which keywords describe Rajalaxmi Hegde's research?
The keywords of their largest research topics: Healthcare, Deep Learning, Machine Learning, Feature Selection, Big Data Analytics, Medical Diagnosis, Electronic Health Records and Predictive Modeling.
- Word Representation
- Multi-label Learning
- Machine Translation
- Extraction
- Sentiment Analysis
- Text Classification
- Internet of Things
- Predictive Modeling
- Medical Diagnosis
- Feature Selection
- Deep Learning
- Healthcare
- Machine Learning
- Big Data Analytics
- Electronic Health Records
- Edge Computing
- Neural Networks
- Opinion Mining
- Automatic
- Histopathology Images
- Medical Image Analysis
- Naive Bayes Classifier
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 22 words, with their numbers
- Healthcare173 topics
- Deep Learning144 topics
- Machine Learning133 topics
- Feature Selection102 topics
- Big Data Analytics81 topic
- Medical Diagnosis81 topic
- Electronic Health Records51 topic
- Predictive Modeling51 topic
- Edge Computing41 topic
- Internet of Things41 topic
- Neural Networks42 topics
- Text Classification42 topics
- Opinion Mining31 topic
- Sentiment Analysis31 topic
- Automatic21 topic
- Extraction21 topic
- Histopathology Images21 topic
- Machine Translation21 topic
- Medical Image Analysis21 topic
- Multi-label Learning21 topic
- Naive Bayes Classifier21 topic
- Word Representation21 topic
Where does Rajalaxmi Hegde work?
Rajalaxmi Hegde's main affiliation in the publication record is Nitte University, India.
How many publications and citations does Rajalaxmi Hegde have?
OpenAlex counts 24 works and 99 citations for Rajalaxmi Hegde, an h-index of 4, ranking #3,484,351 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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