Science Explorer Back to mapMap
Discussion
Researcher · Cloudera (United States) · United States

Varun Shinde

Varun Shinde publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Blockchain Technology Applications and Security, Brain Tumor Detection and Classification and Energy Load and Power Forecasting.

ORCID 0009-0009-8802-8799 OpenAlex
World rank
#2,593,233
of 7,710,434 ranked researchers
Rank in United States
#760,947
of 1,627,098
Works
16
Citations
174
Citations per work
10.9
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Varun Shinde

What does Varun Shinde research?

Varun Shinde's work is mostly in Computer Science (50%), Engineering (8%), Neuroscience (5%).

Physical Sciences: 9 works · 57.5% of their workComputer Science: 8 works · 50.0% of their workArtificial Intelligence: 4 works · 22.5% of their workInformation Systems: 3 works · 17.5% of their workComputer Vision and Pattern Recognition: 2 works · 10.0% of their workEngineering: 1 works · 7.5% of their workElectrical and Electronic Engineering: 1 works · 7.5% of their workEverything else: 5 works · 32.5% of their workLife Sciences: 1 works · 5.0% of their workNeuroscience: 1 works · 5.0% of their workNeurology: 1 works · 5.0% of their workSocial Sciences: 1 works · 5.0% of their workBusiness, Management and Accounting: 1 works · 5.0% of their workManagement Information Systems: 1 works · 5.0% of their workTHEIR WORKVarun Shinde16works
Life Sciences5%Physical Sciences57%Social Sciences5%

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 Science850.0%
    2. Engineering17.5%
  2. Everything else532.5%
    1. Neuroscience15.0%
    1. Business, Management and Accounting15.0%
  1. 1Artificial Intelligence22% of their works
  2. 2Information Systems18% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Management Information Systems5% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Varun Shinde's research?

The keywords of their largest research topics: Deep Learning, Blockchain, Internet of Things, Machine Learning, Neural Networks, Support Vector Machines, Brain Tumor and Economic Growth.

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.

All 20 words, with their numbers
  1. Deep Learning63 topics
  2. Blockchain51 topic
  3. Internet of Things51 topic
  4. Machine Learning53 topics
  5. Neural Networks53 topics
  6. Support Vector Machines42 topics
  7. Brain Tumor21 topic
  8. Economic Growth21 topic
  9. Electricity Price Forecasting21 topic
  10. Forecasting21 topic
  11. Hydrology21 topic
  12. Insurance21 topic
  13. Load Forecasting21 topic
  14. MRI21 topic
  15. Stock Market Prediction21 topic
  16. Time Series Forecasting21 topic
  17. Machine Translation11 topic
  18. Python11 topic
  19. Scientific Computing11 topic
  20. Word Representation11 topic

Where does Varun Shinde work?

Varun Shinde's main affiliation in the publication record is Cloudera (United States), United States.

How many publications and citations does Varun Shinde have?

OpenAlex counts 16 works and 174 citations for Varun Shinde, an h-index of 7, ranking #2,593,233 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

Discussion

Ask a question or share a note about Varun Shinde. Posts are plain text and can be reported.