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Researcher · Bennett University · India

Vivek Mehta

Vivek Mehta publishes mostly in Artificial Intelligence, Building and Construction and Signal Processing, on topics such as Text and Document Classification Technologies, Traffic Prediction and Management Techniques and Neural Networks and Applications.

ORCID 0000-0001-5445-5367 OpenAlex
World rank
#3,527,205
of 7,710,434 ranked researchers
Rank in India
#78,532
of 280,097
Works
17
Citations
160
Citations per work
9.4
h-index
5
i10-index 5Top 82% in Artificial Intelligence
Vivek Mehta

What does Vivek Mehta research?

Vivek Mehta's work is mostly in Computer Science (65%), Engineering (12%).

Physical Sciences: 13 works · 76.9% of their workComputer Science: 11 works · 65.2% of their workArtificial Intelligence: 8 works · 48.8% of their workSignal Processing: 1 works · 7.0% of their workComputer Vision and Pattern Recognition: 1 works · 4.7% of their workInformation Systems: 1 works · 4.7% of their workEngineering: 2 works · 11.7% of their workBuilding and Construction: 1 works · 7.0% of their workControl and Systems Engineering: 1 works · 4.7% of their workEverything else: 4 works · 23.1% of their workTHEIR WORKVivek Mehta17works
Physical Sciences77%

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 Science1165.2%
    2. Engineering211.7%
  2. Everything else423.1%
  1. 1Artificial Intelligence49% of their works
  2. 2Building and Construction7% of their works
  3. 3Signal Processing7% of their works
  4. 4Control and Systems Engineering5% of their works
  5. 5Information Systems5% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Vivek Mehta's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Intelligent Transportation Systems, Traffic Flow, High-Dimensional Data, Multi-label Learning, Text Classification and Short-Term Forecasting.

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. Neural Networks94 topics
  2. Deep Learning73 topics
  3. Intelligent Transportation Systems52 topics
  4. Traffic Flow52 topics
  5. High-Dimensional Data42 topics
  6. Multi-label Learning41 topic
  7. Text Classification41 topic
  8. Short-Term Forecasting31 topic
  9. Spatio-Temporal Data31 topic
  10. Anomaly Detection21 topic
  11. Automatic21 topic
  12. Backpropagation Learning21 topic
  13. Clustering Algorithms21 topic
  14. Cooperative Adaptive Cruise Control21 topic
  15. Extraction21 topic
  16. K-means21 topic
  17. Microscopic Simulation21 topic
  18. Self-Organizing Maps21 topic
  19. Unsupervised21 topic
  20. Neural Machine Translation11 topic
  21. Statistical Machine Translation11 topic

Where does Vivek Mehta work?

Vivek Mehta's main affiliation in the publication record is Bennett University, India.

How many publications and citations does Vivek Mehta have?

OpenAlex counts 17 works and 160 citations for Vivek Mehta, an h-index of 5, ranking #3,527,205 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.

Other researchers named Vivek Mehta

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