Science Explorer Back to mapMap
Discussion
Researcher · Lawrence Livermore National Laboratory · United States

Bhavya Kailkhura

Bhavya Kailkhura publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Distributed Sensor Networks and Detection Algorithms and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-2819-2919 OpenAlex
World rank
#548,326
of 7,710,434 ranked researchers
Rank in United States
#189,532
of 1,627,098
Works
224
Citations
3.2k
Citations per work
14.2
h-index
28
i10-index 66Top 5.8% in Artificial Intelligence
Bhavya Kailkhura

What does Bhavya Kailkhura research?

Bhavya Kailkhura's work is mostly in Computer Science (61%), Engineering (8%), Materials Science (3%).

Physical Sciences: 161 works · 71.8% of their workComputer Science: 136 works · 60.9% of their workArtificial Intelligence: 91 works · 40.8% of their workComputer Networks and Communications: 24 works · 10.8% of their workComputer Vision and Pattern Recognition: 21 works · 9.3% of their workEngineering: 18 works · 8.0% of their workElectrical and Electronic Engineering: 9 works · 4.2% of their workComputational Mechanics: 9 works · 3.8% of their workMaterials Science: 6 works · 2.9% of their workMaterials Chemistry: 6 works · 2.9% of their workEverything else: 63 works · 28.2% of their workTHEIR WORKBhavya Kailkhura224works
Physical Sciences72%

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 Science13660.9%
    2. Engineering188.0%
    3. Materials Science62.9%
  2. Everything else6328.2%
  1. 1Artificial Intelligence41% of their works
  2. 2Computer Networks and Communications11% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Bhavya Kailkhura's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adversarial Examples, Robustness, Meta-Learning, Distributed Detection, Wireless Sensor Networks and Deep Neural Networks.

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 20 words, with their numbers
  1. Deep Learning1013 topics
  2. Neural Networks812 topics
  3. Adversarial Examples551 topic
  4. Robustness551 topic
  5. Meta-Learning382 topics
  6. Distributed Detection371 topic
  7. Wireless Sensor Networks371 topic
  8. Deep Neural Networks342 topics
  9. Anomaly Detection261 topic
  10. Unsupervised261 topic
  11. Compressed Sensing221 topic
  12. Sparse Representation221 topic
  13. Domain Adaptation211 topic
  14. Transfer Learning211 topic
  15. Convolutional Neural Networks201 topic
  16. Image Recognition201 topic
  17. Hyperparameter Optimization171 topic
  18. Interpretable Models171 topic
  19. Machine Learning Interpretability171 topic
  20. Noisy Labels171 topic

Where does Bhavya Kailkhura work?

Bhavya Kailkhura's main affiliation in the publication record is Lawrence Livermore National Laboratory, United States.

How many publications and citations does Bhavya Kailkhura have?

OpenAlex counts 224 works and 3,176 citations for Bhavya Kailkhura, an h-index of 28, ranking #548,326 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.

Discussion

Ask a question or share a note about Bhavya Kailkhura. Posts are plain text and can be reported.