2026 Lise Getoor: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	78	1186	1145	630	604	492	28668

Research.com Recognitions

2021 - IEEE Fellow For contributions to machine learning and reasoning under uncertainty
2019 - ACM Fellow For contributions to machine learning, reasoning under uncertainty, and responsible data science
2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to methods which combine probabilistic and logical representations in machine learning, knowledge discovery, graph mining, network analysis, and database systems.

Overview

Lise Getoor is affiliated with the University of California, Santa Cruz in the United States. Their research primarily falls under the broad field of Computer Science, with a focus on several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Information Systems, and Management Science and Operations Research.

Their work spans multiple main topics of study, highlighting a diverse range of interests:

Topic Modeling
Bayesian Modeling and Causal Inference
Natural Language Processing Techniques
Complex Network Analysis Techniques
Explainable Artificial Intelligence (XAI)
Neural Networks and Applications
Speech and Dialogue Systems

Lise Getoor has contributed significantly to various academic venues, frequently publishing in:

arXiv (Cornell University)
Machine Learning
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the National Academy of Sciences
ACM Transactions on Interactive Intelligent Systems

Recent published papers demonstrate a focus on interdisciplinary approaches combining machine learning, causal inference, recommendation systems, and social media analysis. Notable recent works include:

Reducing opinion polarization: Effects of exposure to similar people with differing political views, 2021, Proceedings of the National Academy of Sciences
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems, 2020, ACM Transactions on Interactive Intelligent Systems
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation, 2023, arXiv (Cornell University)
Differential Adaptive Diffusion: Understanding Diversity and Learning whom to Trust in Viral Marketing, 2021, Proceedings of the International AAAI Conference on Web and Social Media
Causal Relational Learning, 2020, arXiv (Cornell University)

Their frequent co-authors indicate ongoing collaboration across multiple researchers, including:

Connor Pryor
Eriq Augustine
Alon Albalak
Sriram Srinivasan
Charles Dickens

Lise Getoor has received several professional recognitions including fellowships:

IEEE Fellow (2021) for contributions to machine learning and reasoning under uncertainty
ACM Fellow (2019) for contributions to machine learning, reasoning under uncertainty, and responsible data science
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2013) for significant contributions to methods combining probabilistic and logical representations in machine learning, knowledge discovery, graph mining, network analysis, and database systems

Best Publications

Collective Classification in Network Data

Prithviraj Sen;Galileo Namata;Mustafa Bilgic;Lise Getoor

3675
Citations
Introduction to statistical relational learning

Lise Getoor;Ben Taskar

1842
Citations
Link mining: a survey

Lise Getoor;Christopher P. Diehl

1176
Citations
Learning Probabilistic Relational Models

Nir Friedman;Lise Getoor;Daphne Koller;Avi Pfeffer

1156
Citations
Encyclopedia of Machine Learning and Data Mining

Unknown

893
Citations
Collective entity resolution in relational data

Indrajit Bhattacharya;Lise Getoor

856
Citations
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

Lise Getoor;Ben Taskar

789
Citations
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles

Elena Zheleva;Lise Getoor

762
Citations
Link-based classification

Qing Lu;Lise Getoor

703
Citations
Preserving the privacy of sensitive relationships in graph data

Elena Zheleva;Lise Getoor

562
Citations
Entity resolution: theory, practice & open challenges

Lise Getoor;Ashwin Machanavajjhala

437
Citations
Hinge-loss Markov random fields and probabilistic soft logic

Stephen H. Bach;Matthias Broecheler;Bert Huang;Lise Getoor

428
Citations
Knowledge Graph Identification

Jay Pujara;Hui Miao;Lise Getoor;William Cohen

376
Citations
A Latent Dirichlet Model for Unsupervised Entity Resolution

Indrajit Bhattacharya;Lise Getoor

370
Citations
Selectivity estimation using probabilistic models

Lise Getoor;Benjamin Taskar;Daphne Koller

337
Citations
Iterative record linkage for cleaning and integration

Indrajit Bhattacharya;Lise Getoor

321
Citations
Method and apparatus for learning probabilistic relational models having attribute and link uncertainty and for performing selectivity estimation using probabilistic relational models

Daphne Koller;Lise Getoor;Avi Pfeffer;Nir Friedman

304
Citations
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators

Naren Ramakrishnan;Patrick Butler;Sathappan Muthiah;Nathan Self

278
Citations
A short introduction to probabilistic soft logic

Angelika Kimmig;Stephen Bach;Matthias Broecheler;Bert Huang

277
Citations
Query-driven active surveying for collective classification

Lise Getoor

230
Citations
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Lise Getoor;Ted Senator;Pedro Domingos;Christos Faloutsos

64
Citations
An Introduction to Conditional Random Fields for Relational Learning

Lise Getoor;Ben Taskar

28
Citations
Collective Classification of Network Data.

Ben London;Lise Getoor

28
Citations
Collective Classi!cation in Network Data

Prithviraj Sen;Galileo Namata;Mustafa Bilgic;Lise Getoor

16
Citations

Frequent Co-Authors

Ben Taskar University of Washington

Amol Deshpande University of Maryland, College Park

Kristina Lerman University of Southern California

Daphne Koller insitro Inc.

Thomas G. Dietterich Oregon State University

Stephen Muggleton Imperial College London

Naren Ramakrishnan Virginia Tech

Luc De Raedt KU Leuven

Nir Friedman Weizmann Institute of Science

Hal Daumé University of Maryland, College Park

External Links

Wikipedia of Lise Getoor Personal website of Lise Getoor Google Scholar page

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