Science Explorer Back to mapMap
Discussion
Researcher · IFTM University · India

Ankur Jain

Ankur Jain publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Data Stream Mining Techniques, AI in cancer detection and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-3246-7612 OpenAlex
World rank
#2,589,496
of 7,710,434 ranked researchers
Rank in India
#49,710
of 280,097
Works
38
Citations
666
Citations per work
17.5
h-index
11
i10-index 13Top 37% in Artificial Intelligence
Ankur Jain

What does Ankur Jain research?

Ankur Jain's work is mostly in Computer Science (53%), Engineering (4%), Medicine (4%).

Physical Sciences: 22 works · 56.9% of their workComputer Science: 20 works · 53.2% of their workArtificial Intelligence: 9 works · 22.9% of their workComputer Vision and Pattern Recognition: 5 works · 13.8% of their workComputer Networks and Communications: 4 works · 10.1% of their workSignal Processing: 2 works · 6.4% of their workEngineering: 1 works · 3.7% of their workElectrical and Electronic Engineering: 1 works · 3.7% of their workEverything else: 15 works · 39.4% of their workHealth Sciences: 1 works · 3.7% of their workMedicine: 1 works · 3.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.7% of their workTHEIR WORKAnkur Jain38works
Physical Sciences57%Health Sciences4%

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 Science2053.2%
    2. Engineering13.7%
  2. Everything else1539.4%
    1. Medicine13.7%
  1. 1Artificial Intelligence23% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Signal Processing6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Ankur Jain's research?

The keywords of their largest research topics: Deep Learning, Concept Drift, Convolutional Neural Networks, Data Streams, Neural Networks, Anomaly Detection, Continuous Queries and COVID-19.

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 19 words, with their numbers
  1. Deep Learning114 topics
  2. Concept Drift61 topic
  3. Convolutional Neural Networks62 topics
  4. Data Streams61 topic
  5. Neural Networks52 topics
  6. Anomaly Detection31 topic
  7. COVID-1931 topic
  8. Continuous Queries31 topic
  9. Data Stream Management31 topic
  10. Dimensionality Reduction31 topic
  11. Face Recognition31 topic
  12. Histopathology Images31 topic
  13. Medical Image Analysis31 topic
  14. Medical Imaging31 topic
  15. Unsupervised31 topic
  16. Backpropagation Learning21 topic
  17. Hyperparameter Optimization21 topic
  18. Noisy Labels21 topic
  19. Self-Organizing Maps21 topic

Where does Ankur Jain work?

Ankur Jain's main affiliation in the publication record is IFTM University, India.

How many publications and citations does Ankur Jain have?

OpenAlex counts 38 works and 666 citations for Ankur Jain, an h-index of 11, ranking #2,589,496 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 Ankur Jain

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 Ankur Jain. 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.