Lise Getoor

18.2k total citations · 3 hit papers
234 papers, 9.0k citations indexed

About

Lise Getoor is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Lise Getoor has authored 234 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Artificial Intelligence, 53 papers in Information Systems and 47 papers in Management Science and Operations Research. Recurrent topics in Lise Getoor's work include Bayesian Modeling and Causal Inference (55 papers), Complex Network Analysis Techniques (45 papers) and Data Quality and Management (42 papers). Lise Getoor is often cited by papers focused on Bayesian Modeling and Causal Inference (55 papers), Complex Network Analysis Techniques (45 papers) and Data Quality and Management (42 papers). Lise Getoor collaborates with scholars based in United States, Canada and Germany. Lise Getoor's co-authors include Mustafa Bilgic, Galileo Namata, Prithviraj Sen, Christopher Diehl, Brian Gallagher, Tina Eliassi‐Rad, Ben Taskar, Elena Zheleva, Indrajit Bhattacharya and Bert Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Lise Getoor

229 papers receiving 8.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Collective Classification in Network Data

2008 1.8k citations Galileo Namata, Mustafa Bilgic et al. profile →
Link mining

2005 607 citations Lise Getoor, Christopher Diehl profile →
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

2007 326 citations Lise Getoor, Ben Taskar The MIT Press eBooks profile →

Peers

Countries citing papers authored by Lise Getoor

Since Specialization

Citations

This map shows the geographic impact of Lise Getoor'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 Lise Getoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lise Getoor more than expected).

Fields of papers citing papers by Lise Getoor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lise Getoor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lise Getoor. The network helps show where Lise Getoor may publish in the future.

Co-authorship network of co-authors of Lise Getoor

This figure shows the co-authorship network connecting the top 25 collaborators of Lise Getoor. A scholar is included among the top collaborators of Lise Getoor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lise Getoor. Lise Getoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Modeling Patterns for Neural-Symbolic Reasoning Using Energy-based Models 2024 ·Proceedings of the AAAI Symposium Series ·Charles Dickens, (unknown), Lise Getoor	1
2	Context-Aware Online Collective Inference for Templated Graphical Models 2021 ·International Conference on Machine Learning ·(unknown), (unknown), (unknown), Alexander Miller, Lise Getoor	0
3	Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short 2017 ·Jay Pujara, (unknown), Lise Getoor	62
4	Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. 2016 ·Educational Data Mining ·(unknown), Arti Ramesh, Lise Getoor	7
5	Stability and generalization in structured prediction 2016 ·Journal of Machine Learning Research ·Ben London, Bert Huang, Lise Getoor	15
6	RELLY: Inferring Hypernym Relationships Between Relational Phrases 2015 ·(unknown), Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor	8
7	Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models 2015 ·International Conference on Machine Learning ·James R. Foulds, (unknown), Lise Getoor	11
8	HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades 2015 ·International Conference on Machine Learning ·Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu	38
9	Understanding MOOC Discussion Forums using Seeded LDA 2014 ·Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé, Lise Getoor	65
10	Query-driven active surveying for collective classification 2012 ·Galileo Namata, Ben London, Lise Getoor, Bert Huang	100
11	Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization 2012 ·Neural Information Processing Systems ·Stephen H. Bach, Matthias Broecheler, Lise Getoor, Dianne P. O’Leary	24
12	Active Learning for Networked Data 2010 ·International Conference on Machine Learning ·Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor	95
13	Link-based Active Learning 2009 ·Neural Information Processing Systems ·Mustafa Bilgic, Lise Getoor	13
14	Efficient Resource-constrained Retrospective Analysis of Long Video Sequences 2009 ·Neural Information Processing Systems ·(unknown), Mustafa Bilgic, Lise Getoor, David Jacobs	1
15	Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction 2007 ·Rezarta Islamaj, Lise Getoor, W. John Wilbur	2
16	Relationship identification for social network discovery 2007 ·National Conference on Artificial Intelligence ·Christopher Diehl, Galileo Namata, Lise Getoor	65
17	Online collective entity resolution 2007 ·National Conference on Artificial Intelligence ·Indrajit Bhattacharya, Lise Getoor	1
18	Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) breakdown → 2007 ·The MIT Press eBooks ·Lise Getoor, Ben Taskar	326
19	Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining 2003 ·Knowledge Discovery and Data Mining ·Lise Getoor, Ted E. Senator, Pedro Domingos, Christos Faloutsos	341
20	Scope and Abstraction: Two Criteria for Localized Planning 1994 ·National Conference on Artificial Intelligence ·Amy Lansky, Lise Getoor, (unknown)	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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