2026 Aron Culotta: 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	35	11517	11187	4732	4528	84	7159

Overview

Aron Culotta is affiliated with Tulane University in the United States and has contributed extensively to research in computer science and social sciences. Their work spans multiple interdisciplinary fields and includes a strong focus on artificial intelligence, transportation, and social and political sciences.

Their primary research areas are:

Artificial Intelligence
Transportation
Sociology and Political Science
Communication
Marketing

More specifically, Aron Culotta's research topics cover a diverse range of subjects such as:

Human Mobility and Location-Based Analysis
Text and Document Classification Technologies
Complex Network Analysis Techniques
Social Media and Politics
Sharing Economy and Platforms
Privacy, Security, and Data Protection
Machine Learning and Data Classification

The scientist has published frequently in venues including:

Proceedings of the International AAAI Conference on Web and Social Media
arXiv (Cornell University)
Transportation Research Part C Emerging Technologies
SSRN Electronic Journal
Proceedings of the AAAI Conference on Artificial Intelligence

Among recent notable publications by Aron Culotta are:

"Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media" (2021), published in Transportation Research Part C Emerging Technologies
"Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
"Big Data and Emergency Management: Concepts, Methodologies, and Applications" (2020), published in IEEE Transactions on Big Data
"Characterizing Variation in Toxic Language by Social Context" (2020), published in Proceedings of the International AAAI Conference on Web and Social Media
"Too Neurotic, Not Too Friendly: Structured Personality Classification on Textual Data" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media

Frequent collaborators include:

Mustafa Bilgic
Karthik Shivaram
Matthew A. Shapiro
Samiul Hasan
Zhao Wang

Best Publications

Dependency Tree Kernels for Relation Extraction

Aron Culotta;Jeffrey Sorensen

1118
Citations
Towards detecting influenza epidemics by analyzing Twitter messages

Aron Culotta

865
Citations
Reducing labeling effort for structured prediction tasks

Aron Culotta;Andrew McCallum

442
Citations
Extracting Social Networks and Contact Information From Email and the Web

Aron Culotta;Ron Bekkerman;Andrew McCallum

402
Citations
Tweedr: Mining twitter to inform disaster response.

Zahra Ashktorab;Christopher Brown;Manojit Nandi;Aron Culotta

306
Citations
Mining Brand Perceptions from Twitter Social Networks

Aron Culotta;Jennifer Cutler

296
Citations
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text

Aron Culotta;Andrew McCallum;Jonathan Betz

273
Citations
First-Order Probabilistic Models for Coreference Resolution

Aron Culotta;Michael Wick;Andrew McCallum

226
Citations
Interactive information extraction with constrained conditional random fields

Trausti Kristjansson;Aron Culotta;Paul Viola;Andrew McCallum

210
Citations
Predicting the demographics of twitter users from website traffic data

Aron Culotta;Nirmal Kumar Ravi;Jennifer Cutler

204
Citations
A Demographic Analysis of Online Sentiment during Hurricane Irene

Benjamin Mandel;Aron Culotta;John Boulahanis;Danielle Stark

197
Citations
Estimating county health statistics with twitter

Aron Culotta

180
Citations
Confidence estimation for information extraction

Aron Culotta;Andrew McCallum

160
Citations
Inferring the origin locations of tweets with quantitative confidence

Reid Priedhorsky;Aron Culotta;Sara Y. Del Valle

135
Citations
Detecting influenza outbreaks by analyzing Twitter messages

Aron Culotta

128
Citations
Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages

Aron Culotta

125
Citations
Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function

Aron Culotta;Pallika Kanani;Robert Hall;Michael Wick

122
Citations
Joint deduplication of multiple record types in relational data

Aron Culotta;Andrew McCallum

113
Citations
Corrective feedback and persistent learning for information extraction

Aron Culotta;Trausti Kristjansson;Andrew McCallum;Paul Viola

101
Citations
Graphical User Interfaces Supporting Method And System For Electronic Discovery Using Social Network Analysis

Mark A. Cordover;Andrew Liu;Seth Green;Jonathan Bodner

83
Citations
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals

Zhao Wang;Aron Culotta

83
Citations

Frequent Co-Authors

Andrew McCallum University of Massachusetts Amherst

Emilio Ferrara University of Southern California

Paul A. Viola Microsoft (United States)

Song Guo Hong Kong University of Science and Technology

Ingemar J. Cox University College London

Nigel Collier University of Cambridge

Bart Selman Cornell University

Naveen Eluru University of Central Florida

Xuan Song University of Tokyo

Yusheng Ji National Institute of Informatics

External Links

Personal website of Aron Culotta

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online education options in computer science opens many doors for prospective students, especially those looking for flexibility, affordability, or an alternative pathway to a tech career. College that accepts low gpa can be a great option if you are worried about your academic history, offering a second chance for motivated learners to enter the field.

Online degrees now come in various formats, including the 2-year computer science degree online, which allows students to gain skills and credentials quickly for a fast entry into technology jobs. If you are considering interdisciplinary or environmentally focused roles, an online environmental engineering degree provides affordable, flexible access to a growing area with strong job prospects.

Graduates with a computer science or related technical degree enjoy a diverse range of opportunities. To explore broad career areas, read more about what can you do with an environmental studies degree, which covers roles in research, policy, technology, and beyond. With so many online pathways, you can tailor your education to fit your goals.