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Researcher · Sandip Foundation · India

Ankita Karale

Ankita Karale publishes mostly in Artificial Intelligence, Computer Networks and Communications and Information Systems, on topics such as Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection and Blockchain Technology Applications and Security.

ORCID 0000-0003-0270-9032 OpenAlex
World rank
#5,590,589
of 7,710,434 ranked researchers
Rank in India
#165,287
of 280,097
Works
27
Citations
36
Citations per work
1.3
h-index
4
i10-index 0Top 90% in Artificial Intelligence
Ankita Karale

What does Ankita Karale research?

Ankita Karale's work is mostly in Computer Science (51%), Engineering (4%), Health Professions (4%).

Physical Sciences: 15 works · 54.9% of their workComputer Science: 14 works · 50.7% of their workArtificial Intelligence: 6 works · 23.9% of their workComputer Networks and Communications: 4 works · 14.1% of their workInformation Systems: 3 works · 12.7% of their workEngineering: 1 works · 4.2% of their workCivil and Structural Engineering: 1 works · 4.2% of their workEverything else: 10 works · 36.7% of their workHealth Sciences: 2 works · 8.4% of their workHealth Professions: 1 works · 4.2% of their workHealth Information Management: 1 works · 4.2% of their workMedicine: 1 works · 4.2% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 4.2% of their workTHEIR WORKAnkita Karale27works
Physical Sciences55%Health Sciences8%

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 Science1450.7%
    2. Engineering14.2%
  2. Everything else1036.7%
    1. Health Professions14.2%
    2. Medicine14.2%
  1. 1Artificial Intelligence24% of their works
  2. 2Computer Networks and Communications14% of their works
  3. 3Information Systems13% of their works
  4. 4Civil and Structural Engineering4% of their works
  5. 5Health Information Management4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Ankita Karale's research?

The keywords of their largest research topics: Anomaly Detection, Deep Learning, Data Mining, Machine Learning, Healthcare, Outlier Detection, Unsupervised and Intrusion 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. 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. Anomaly Detection122 topics
  2. Deep Learning122 topics
  3. Data Mining103 topics
  4. Machine Learning103 topics
  5. Healthcare72 topics
  6. Outlier Detection71 topic
  7. Unsupervised71 topic
  8. Intrusion Detection51 topic
  9. Network Security51 topic
  10. Blockchain41 topic
  11. Internet of Things41 topic
  12. Big Data Analytics31 topic
  13. Homomorphic Encryption31 topic
  14. Identity-Based Encryption31 topic
  15. Leak Detection31 topic
  16. Medical Diagnosis31 topic
  17. Water Distribution Networks31 topic
  18. Approximation Algorithms21 topic
  19. Combinatorial Optimization21 topic
  20. Differential Privacy21 topic
  21. Federated Learning21 topic

Where does Ankita Karale work?

Ankita Karale's main affiliation in the publication record is Sandip Foundation, India.

How many publications and citations does Ankita Karale have?

OpenAlex counts 27 works and 36 citations for Ankita Karale, an h-index of 4, ranking #5,590,589 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

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