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Researcher · Institute for Development and Research in Banking Technology · India

Vadlamani Ravi

Vadlamani Ravi publishes mostly in Artificial Intelligence, Information Systems and Management Science and Operations Research, on topics such as Imbalanced Data Classification Techniques, Stock Market Forecasting Methods and Financial Distress and Bankruptcy Prediction.

ORCID 0000-0003-0082-6227 OpenAlex
World rank
#129,000
of 7,710,434 ranked researchers
Rank in India
#1,338
of 280,097
Works
326
Citations
9.6k
Citations per work
29.5
h-index
44
i10-index 135Top 1.5% in Artificial Intelligence
Vadlamani Ravi

What does Vadlamani Ravi research?

Vadlamani Ravi's work is mostly in Computer Science (51%), Decision Sciences (7%), Engineering (6%).

Physical Sciences: 185 works · 56.8% of their workComputer Science: 166 works · 50.8% of their workArtificial Intelligence: 124 works · 38.1% of their workInformation Systems: 23 works · 7.1% of their workComputer Vision and Pattern Recognition: 18 works · 5.6% of their workEngineering: 20 works · 6.0% of their workControl and Systems Engineering: 20 works · 6.0% of their workEverything else: 103 works · 31.5% of their workSocial Sciences: 38 works · 11.7% of their workDecision Sciences: 22 works · 6.6% of their workManagement Science and Operations Research: 22 works · 6.6% of their workBusiness, Management and Accounting: 17 works · 5.1% of their workAccounting: 17 works · 5.1% of their workTHEIR WORKVadlamani Ravi326works
Physical Sciences57%Social Sciences12%

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 Science16650.8%
    2. Engineering206.0%
  2. Everything else10331.5%
    1. Decision Sciences226.6%
    2. Business, Management and Accounting175.1%
  1. 1Artificial Intelligence38% of their works
  2. 2Information Systems7% of their works
  3. 3Management Science and Operations Research7% of their works
  4. 4Control and Systems Engineering6% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Accounting5% of their works

Research topics

Which keywords describe Vadlamani Ravi's research?

The keywords of their largest research topics: Neural Networks, Support Vector Machines, Deep Learning, Ensemble Methods, Machine Learning, Sentiment Analysis, Classification and Imbalanced Data.

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
  1. Neural Networks1253 topics
  2. Support Vector Machines1113 topics
  3. Deep Learning1063 topics
  4. Ensemble Methods912 topics
  5. Machine Learning913 topics
  6. Sentiment Analysis682 topics
  7. Classification671 topic
  8. Imbalanced Data671 topic
  9. Stock Market Prediction441 topic
  10. Time Series Forecasting441 topic
  11. Bankruptcy Prediction431 topic
  12. Credit Scoring431 topic
  13. Backpropagation Learning381 topic
  14. Self-Organizing Maps381 topic
  15. Differential Evolution351 topic
  16. Particle Swarm Optimization351 topic
  17. Data Mining241 topic
  18. Dimensionality Reduction241 topic
  19. Face Recognition241 topic
  20. Frequent Patterns241 topic
  21. Opinion Mining241 topic
  22. Social Media241 topic

Where does Vadlamani Ravi work?

Vadlamani Ravi's main affiliation in the publication record is Institute for Development and Research in Banking Technology, India.

How many publications and citations does Vadlamani Ravi have?

OpenAlex counts 326 works and 9,629 citations for Vadlamani Ravi, an h-index of 44, ranking #129,000 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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