Yulia Rubanova

4 papers and 1.0k indexed citations i.

About

Yulia Rubanova is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Yulia Rubanova has authored 4 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Molecular Biology. Recurrent topics in Yulia Rubanova’s work include Model Reduction and Neural Networks (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Computational Physics and Python Applications (1 paper). Yulia Rubanova is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Computational Physics and Python Applications (1 paper). Yulia Rubanova collaborates with scholars based in Canada, United States and United Kingdom. Yulia Rubanova's co-authors include David Duvenaud, Ricky T. Q. Chen, Jesse Bettencourt, David Dohan, Kevin Swersky, Kevin J. Murphy and Quaid Morris and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and Biocomputing.

In The Last Decade

Co-authorship network of co-authors of Yulia Rubanova i

Fields of papers citing papers by Yulia Rubanova

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Yulia Rubanova. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yulia Rubanova may publish in the future.

Countries citing papers authored by Yulia Rubanova

Since Specialization
Citations

This map shows the geographic impact of Yulia Rubanova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yulia Rubanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Rubanova more than expected).

Rankless by CCL
2025