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Researcher · Sanjay Ghodawat University · India

Uma Gurav

Uma Gurav publishes mostly in Computer Vision and Pattern Recognition, Management Science and Operations Research and Artificial Intelligence, on topics such as Stock Market Forecasting Methods, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.

ORCID 0000-0002-8816-6333 OpenAlex
World rank
#4,703,234
of 7,710,434 ranked researchers
Rank in India
#123,951
of 280,097
Works
37
Citations
190
Citations per work
5.1
h-index
7
i10-index 6Top 69% in Computer Vision and Pattern Recognition
Uma Gurav

What does Uma Gurav research?

Uma Gurav's work is mostly in Computer Science (50%), Decision Sciences (12%).

Physical Sciences: 19 works · 50.4% of their workComputer Science: 19 works · 50.4% of their workComputer Vision and Pattern Recognition: 8 works · 21.6% of their workArtificial Intelligence: 4 works · 10.3% of their workComputer Networks and Communications: 3 works · 8.2% of their workInformation Systems: 2 works · 6.2% of their workHuman-Computer Interaction: 2 works · 4.1% of their workEverything else: 14 works · 37.2% of their workSocial Sciences: 5 works · 12.4% of their workDecision Sciences: 5 works · 12.4% of their workManagement Science and Operations Research: 5 works · 12.4% of their workTHEIR WORKUma Gurav37works
Physical Sciences50%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 Science1950.4%
  2. Everything else1437.2%
    1. Decision Sciences512.4%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Management Science and Operations Research12% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Information Systems6% of their works
  6. 6Human-Computer Interaction4% of their works

Research topics

Which keywords describe Uma Gurav's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Stock Market Prediction, Time Series Forecasting, Machine Learning, Real-time Tracking and Image Recognition.

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 21 words, with their numbers
  1. Deep Learning287 topics
  2. Neural Networks184 topics
  3. Convolutional Neural Networks92 topics
  4. Stock Market Prediction81 topic
  5. Time Series Forecasting81 topic
  6. Machine Learning73 topics
  7. Real-time Tracking72 topics
  8. Image Recognition51 topic
  9. Object Detection51 topic
  10. Electricity Price Forecasting41 topic
  11. Load Forecasting41 topic
  12. Object Tracking41 topic
  13. Visual Tracking41 topic
  14. Forecasting31 topic
  15. Gesture Recognition31 topic
  16. Human-Computer Interaction31 topic
  17. Time Series31 topic
  18. Intrusion Detection21 topic
  19. Network Security21 topic
  20. Plant Disease Detection21 topic
  21. Smart Farming21 topic

Where does Uma Gurav work?

Uma Gurav's main affiliation in the publication record is Sanjay Ghodawat University, India.

How many publications and citations does Uma Gurav have?

OpenAlex counts 37 works and 190 citations for Uma Gurav, an h-index of 7, ranking #4,703,234 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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