Ravi Kumar Burman
Ravi Kumar Burman publishes mostly in Artificial Intelligence, Health Information Management and Management Science and Operations Research, on topics such as Artificial Intelligence in Healthcare, Forecasting Techniques and Applications and Identification and Quantification in Food.
- World rank
- #3,440,554 of 7,710,434 ranked researchers
- Rank in India
- #75,549 of 280,097
- Works
- 20
- Citations
- 61
- Citations per work
- 3.1
What does Ravi Kumar Burman research?
Ravi Kumar Burman's work is mostly in Computer Science (13%), Health Professions (6%), Decision Sciences (6%).
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 else1261.3%
- Physical Sciences525.7%
- Computer Science312.9%
- Engineering14.8%
- Environmental Science14.8%
- Mathematics13.2%
- Health Sciences16.5%
- Health Professions16.5%
- Social Sciences16.5%
- Decision Sciences16.5%
- 1Artificial Intelligence13% of their works
- 2Health Information Management6% of their works
- 3Management Science and Operations Research6% of their works
- 4Building and Construction5% of their works
- 5Environmental Engineering5% of their works
- 6Statistics and Probability3% of their works
Research topics
Which keywords describe Ravi Kumar Burman's research?
The keywords of their largest research topics: Machine Learning, Neural Networks, Logistic Regression, Forecasting, Big Data Analytics, Healthcare, Exponential Smoothing and Time Series.
- Word Representation
- Statistical Machine Translation
- Neural Machine Translation
- Machine Translation
- Food Authentication
- DNA Barcoding
- Time Series
- Healthcare
- Forecasting
- Neural Networks
- Machine Learning
- Logistic Regression
- Big Data Analytics
- Exponential Smoothing
- Artificial Neural Networks
- Deep Learning
- Hydrology
- Methodology
- Sample Size Calculation
- Traffic Flow
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 20 words, with their numbers
- Machine Learning93 topics
- Neural Networks73 topics
- Logistic Regression62 topics
- Forecasting52 topics
- Big Data Analytics41 topic
- Healthcare41 topic
- Exponential Smoothing31 topic
- Time Series31 topic
- Artificial Neural Networks21 topic
- DNA Barcoding21 topic
- Deep Learning21 topic
- Food Authentication21 topic
- Hydrology21 topic
- Machine Translation21 topic
- Methodology21 topic
- Neural Machine Translation21 topic
- Sample Size Calculation21 topic
- Statistical Machine Translation21 topic
- Traffic Flow21 topic
- Word Representation21 topic
Where does Ravi Kumar Burman work?
Ravi Kumar Burman's main affiliation in the publication record is Jharkhand Rai University, India.
How many publications and citations does Ravi Kumar Burman have?
OpenAlex counts 20 works and 61 citations for Ravi Kumar Burman, an h-index of 6, ranking #3,440,554 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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