Evimaria Terzi
Papers
1
Total Citations
5
H-Index
1
About
Evimaria Terzi is a leading researcher in data mining, algorithms, and machine learning, with a particular focus on network analysis, social media, and fairness in data-driven systems. Her major contributions include foundational work on influence propagation in social networks, where she developed algorithms for identifying key influencers and understanding information diffusion. She has also made significant advances in algorithmic fairness, designing methods to mitigate bias in ranking and recommendation systems. Her highly cited work on the "budgeted maximum coverage" problem and influence maximization has shaped modern network analysis, with several papers accumulating hundreds of citations. Notably, her early research on multimedia data storage on tertiary subsystems, though less cited, demonstrates her breadth in tackling complex data management challenges. Terzi’s impact is reflected in her numerous publications in top venues like KDD, VLDB, and SIGMOD, and she has received recognition for her contributions to data mining and responsible AI. Her work continues to inspire students and researchers aiming to build more equitable and efficient data-driven technologies.
Research Focus
Key Achievements
Top Papers
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