Science Explorer Back to mapMap
Discussion
Researcher · Madhya Pradesh Bhoj Open University · India

Tripti Arjariya

Tripti Arjariya publishes mostly in Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Anomaly Detection Techniques and Applications, Digital Media Forensic Detection and Spam and Phishing Detection.

ORCID 0009-0007-2736-8840 OpenAlex
World rank
#6,583,275
of 7,710,434 ranked researchers
Rank in India
#217,508
of 280,097
Works
16
Citations
38
Citations per work
2.4
h-index
3
i10-index 2Top 83% in Information Systems
Tripti Arjariya

What does Tripti Arjariya research?

Tripti Arjariya's work is mostly in Computer Science (42%), Engineering (15%).

Physical Sciences: 9 works · 56.2% of their workComputer Science: 7 works · 41.5% of their workArtificial Intelligence: 2 works · 12.2% of their workComputer Vision and Pattern Recognition: 2 works · 12.2% of their workInformation Systems: 2 works · 12.2% of their workComputer Networks and Communications: 1 works · 4.9% of their workEngineering: 2 works · 14.7% of their workElectrical and Electronic Engineering: 2 works · 9.8% of their workMedia Technology: 1 works · 4.9% of their workEverything else: 7 works · 43.8% of their workTHEIR WORKTripti Arjariya16works
Physical Sciences56%

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 Science741.5%
    2. Engineering214.7%
  2. Everything else743.8%
  1. 1Information Systems12% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Electrical and Electronic Engineering10% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Media Technology5% of their works

Research topics

Which keywords describe Tripti Arjariya's research?

The keywords of their largest research topics: Deep Learning, Internet of Things, Machine Learning, Neural Networks, Remote Sensing, Wireless Sensor Networks, Anomaly Detection and Digital Forensics.

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. Deep Learning42 topics
  2. Internet of Things42 topics
  3. Machine Learning42 topics
  4. Neural Networks42 topics
  5. Remote Sensing42 topics
  6. Wireless Sensor Networks42 topics
  7. Anomaly Detection21 topic
  8. Digital Forensics21 topic
  9. Geohazards21 topic
  10. Healthcare21 topic
  11. Hyperspectral Imaging21 topic
  12. Image Forgery Detection21 topic
  13. Measurement21 topic
  14. Optoelectronic21 topic
  15. PID Control21 topic
  16. Phishing21 topic
  17. Security21 topic
  18. Spam Detection21 topic
  19. Support Vector Machines21 topic
  20. Unsupervised21 topic
  21. DNA Computing11 topic
  22. Molecular Computation11 topic

Where does Tripti Arjariya work?

Tripti Arjariya's main affiliation in the publication record is Madhya Pradesh Bhoj Open University, India.

How many publications and citations does Tripti Arjariya have?

OpenAlex counts 16 works and 38 citations for Tripti Arjariya, an h-index of 3, ranking #6,583,275 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.

Discussion

Ask a question or share a note about Tripti Arjariya. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.