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Researcher · GLA University · India

Ankit Kumar

Ankit Kumar publishes mostly in Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, on topics such as Vehicular Ad Hoc Networks (VANETs), IoT and Edge/Fog Computing and Chaos-based Image/Signal Encryption.

ORCID 0000-0002-7945-4616 OpenAlex
World rank
#1,016,532
of 7,710,434 ranked researchers
Rank in India
#14,273
of 280,097
Works
308
Citations
3.1k
Citations per work
10.2
h-index
30
i10-index 85Top 5.1% in Computer Vision and Pattern Recognition
Ankit Kumar

What does Ankit Kumar research?

Ankit Kumar's work is mostly in Computer Science (40%), Engineering (7%), Agricultural and Biological Sciences (4%).

Everything else: 151 works · 49.1% of their workPhysical Sciences: 145 works · 47.2% of their workComputer Science: 124 works · 40.3% of their workComputer Vision and Pattern Recognition: 42 works · 13.5% of their workComputer Networks and Communications: 34 works · 11.0% of their workArtificial Intelligence: 28 works · 9.2% of their workInformation Systems: 20 works · 6.6% of their workEngineering: 21 works · 6.9% of their workElectrical and Electronic Engineering: 21 works · 6.9% of their workLife Sciences: 11 works · 3.7% of their workAgricultural and Biological Sciences: 11 works · 3.7% of their workPlant Science: 11 works · 3.7% of their workTHEIR WORKAnkit Kumar308works
Life Sciences4%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 else15149.1%
    1. Computer Science12440.3%
    2. Engineering216.9%
    1. Agricultural and Biological Sciences113.7%
  1. 1Computer Vision and Pattern Recognition14% of their works
  2. 2Computer Networks and Communications11% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Electrical and Electronic Engineering7% of their works
  5. 5Information Systems7% of their works
  6. 6Plant Science4% of their works

Research topics

Which keywords describe Ankit Kumar's research?

The keywords of their largest research topics: Deep Learning, Security Analysis, Routing Protocols, IoT Security, Machine Learning, DSRC Standards, Vehicular Ad Hoc Networks and Chaos.

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 Learning604 topics
  2. Security Analysis362 topics
  3. Routing Protocols322 topics
  4. IoT Security302 topics
  5. Machine Learning292 topics
  6. DSRC Standards191 topic
  7. Vehicular Ad Hoc Networks191 topic
  8. Chaos171 topic
  9. Edge Computing171 topic
  10. Image Encryption171 topic
  11. Internet of Things171 topic
  12. Plant Disease Detection161 topic
  13. Smart Farming161 topic
  14. Big Data141 topic
  15. COVID-19141 topic
  16. Cloud Computing141 topic
  17. Medical Imaging141 topic
  18. Ad Hoc Networks131 topic
  19. Intrusion Detection131 topic
  20. Network Security131 topic
  21. Wireless Mesh Networks131 topic

Where does Ankit Kumar work?

Ankit Kumar's main affiliation in the publication record is GLA University, India.

How many publications and citations does Ankit Kumar have?

OpenAlex counts 308 works and 3,135 citations for Ankit Kumar, an h-index of 30, ranking #1,016,532 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 Ankit Kumar

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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