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Researcher · San Jose State University · United States

Sanket Shekhar Kulkarni

Sanket Shekhar Kulkarni publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Anomaly Detection Techniques and Applications, Digital Media Forensic Detection and Advanced Malware Detection Techniques.

ORCID 0000-0003-2635-4969 OpenAlex
World rank
#6,536,199
of 7,710,434 ranked researchers
Rank in United States
#1,529,268
of 1,627,098
Works
20
Citations
53
Citations per work
2.7
h-index
4
i10-index 1Top 94% in Computer Vision and Pattern Recognition
Sanket Shekhar Kulkarni

What does Sanket Shekhar Kulkarni research?

Sanket Shekhar Kulkarni's work is mostly in Computer Science (47%), Agricultural and Biological Sciences (6%).

Everything else: 9 works · 47.2% of their workPhysical Sciences: 9 works · 47.1% of their workComputer Science: 9 works · 47.1% of their workComputer Vision and Pattern Recognition: 3 works · 15.1% of their workArtificial Intelligence: 2 works · 11.3% of their workComputer Networks and Communications: 2 works · 7.5% of their workInformation Systems: 2 works · 7.5% of their workSignal Processing: 1 works · 5.7% of their workLife Sciences: 1 works · 5.7% of their workAgricultural and Biological Sciences: 1 works · 5.7% of their workPlant Science: 1 works · 5.7% of their workTHEIR WORKSanket ShekharKulkarni20works
Life Sciences6%Physical Sciences47%

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. Everything else947.2%
    1. Computer Science947.1%
    1. Agricultural and Biological Sciences15.7%
  1. 1Computer Vision and Pattern Recognition15% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Information Systems8% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Signal Processing6% of their works
  6. 6Plant Science6% of their works

Research topics

Which keywords describe Sanket Shekhar Kulkarni's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Android Malware, Anomaly Detection, Detection, Digital Forensics, Flood Risk and Image Forgery Detection.

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 18 words, with their numbers
  1. Deep Learning135 topics
  2. Machine Learning52 topics
  3. Android Malware31 topic
  4. Anomaly Detection31 topic
  5. Detection31 topic
  6. Digital Forensics31 topic
  7. Flood Risk31 topic
  8. Image Forgery Detection31 topic
  9. Remote Sensing31 topic
  10. Unsupervised31 topic
  11. Cross-Platform Development21 topic
  12. Mobile Application Development21 topic
  13. Object Tracking21 topic
  14. Plant Disease Detection21 topic
  15. Smart Farming21 topic
  16. Visual Tracking21 topic
  17. Antioxidant Activity11 topic
  18. Phenolic Profile11 topic

Where does Sanket Shekhar Kulkarni work?

Sanket Shekhar Kulkarni's main affiliation in the publication record is San Jose State University, United States.

How many publications and citations does Sanket Shekhar Kulkarni have?

OpenAlex counts 20 works and 53 citations for Sanket Shekhar Kulkarni, an h-index of 4, ranking #6,536,199 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.

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