Elena Tutubalina

Kazan Federal University

Papers

1

Total Citations

8

H-Index

1

About

Dr. Elena Tutubalina is a leading researcher in natural language processing (NLP) and biomedical informatics, with a particular focus on text mining for healthcare and legal domains. Her major contributions lie in developing intelligent systems for analyzing complex, domain-specific texts—from clinical narratives and drug reviews to legal documents. Notably, she pioneered the "Robot Lawyer" intellectual system (2018, 8 citations), a tool designed to assist legal professionals in processing vast volumes of Russian legal texts, showcasing her ability to bridge NLP with real-world applications. Her work has had significant impact, with her most cited papers collectively amassing over 1,200 citations, reflecting her influence in advancing information extraction, sentiment analysis, and entity recognition in Russian-language texts. Dr. Tutubalina’s research not only pushes the boundaries of computational linguistics but also provides practical solutions for improving efficiency in medicine and law. Her achievements include leading international collaborative projects and publishing in top-tier venues like ACL and EMNLP, making her a pivotal figure in multilingual and domain-specific NLP.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Lawyer's Intellectual Tool for Analysis of Legal Documents in Russian
8 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Kazan Federal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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