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Researcher · L3S Research Center · Germany

Megha Khosla

Megha Khosla publishes mostly in Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, on topics such as Privacy-Preserving Technologies in Data, Advanced Graph Neural Networks and Machine Learning in Bioinformatics.

World rank
#1,378,220
of 1,633,909 ranked researchers
Rank in Germany
#76,220
of 86,443
Works
17
Citations
31
Citations per work
1.8

What does Megha Khosla research?

Artificial Intelligence: 73.7%Molecular Biology: 5.3%Computational Theory and Mathematics: 5.3%Discrete Mathematics and Combinatorics: 5.3%other fields: 10.4%74%top field
Artificial Intelligence73.7%Molecular Biology5.3%Computational Theory and Mathematics5.3%Discrete Mathematics and Combinatorics5.3%other fields10.4%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence74% of their works
  2. 2Molecular Biology5% of their works
  3. 3Computational Theory and Mathematics5% of their works
  4. 4Discrete Mathematics and Combinatorics5% of their works
  5. 5Marketing5% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe Megha Khosla's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Differential Privacy, Federated Learning, Graph Neural Networks, Knowledge Graph Embedding, Adversarial Examples and Bayesian 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 18 words, with their numbers
  1. Machine Learning53 topics
  2. Deep Learning42 topics
  3. Differential Privacy31 topic
  4. Federated Learning31 topic
  5. Graph Neural Networks31 topic
  6. Knowledge Graph Embedding31 topic
  7. Adversarial Examples11 topic
  8. Bayesian Networks11 topic
  9. Causal Inference11 topic
  10. Compression11 topic
  11. Homomorphic Encryption11 topic
  12. Identity-Based Encryption11 topic
  13. Interpretable Models11 topic
  14. Machine Learning Interpretability11 topic
  15. Protein11 topic
  16. Robustness11 topic
  17. Subcellular Localization11 topic
  18. Suffix Arrays11 topic

Where does Megha Khosla work?

Megha Khosla's main affiliation in the publication record is L3S Research Center, Germany.

How many publications and citations does Megha Khosla have?

Science Explorer counts 17 works and 31 citations for Megha Khosla, ranking #1,378,220 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.