Aron Culotta
- Artificial Intelligence top 0.5%
- Topic Modeling 15
- Text and Document Classification Technologies 10
- Sentiment Analysis and Opinion Mining 7
- Natural Language Processing Techniques 7
- Communication top 1%
- Social Media and Politics 8
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- Complex Network Analysis Techniques 6
- Transportation top 2%
- Information Systems top 1%
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- Misinformation and Its Impacts 9
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- Data Quality and Management 9
- Co-authors
- Jeffrey SorensenAndrew McCallumJennifer CutlerMichael WickRon BekkermanJonathan BetzChristopher BrownZahra Ashktorab
- Journals
- Journal of Artificial Intelligence Research (2 papers)Transportation Research Part C Emerging Technologies (2 papers)Social Network Analysis and Mining (2 papers)
- Partner nations
- United StatesIrelandNorway
In The Last Decade
Aron Culotta
69 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 2.0k
- Communication 387
- Statistical and Nonlinear Physics 351
- Transportation 175
- Information Systems 578
Countries citing papers authored by Aron Culotta
This map shows the geographic impact of Aron Culotta'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 Aron Culotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aron Culotta more than expected).
Fields of papers citing papers by Aron Culotta
This network shows the impact of papers produced by Aron Culotta. 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 Aron Culotta. The network helps show where Aron Culotta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aron Culotta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 0 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 1 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 2 | |
| 8 | Domain adaptation for learning from label proportions using self-training | 2016 | 6 |
| 9 | 2016 | 2 | |
| 10 | 2016 | 20 | |
| 11 | Using matched samples to estimate the effects of exercise on mental health from twitter | 2015 | 29 |
| 12 | Finding Truth in Cause-Related Advertising: A Lexical Analysis of Brands’ Health, Environment, and Social Justice Communications on Twitter | 2015 | 2 |
| 13 | 2015 | 8 | |
| 14 | Tweedr: Mining twitter to inform disaster response. | 2014 | 151 |
| 15 | 2013 | 41 | |
| 16 | A Demographic Analysis of Online Sentiment during Hurricane Irene | 2012 | 98 |
| 17 | IT-Discovery at TREC 2010 Legal. | 2010 | 0 |
| 18 | First-Order Probabilistic Models for Coreference Resolution | 2007 | 110 |
| 19 | Extracting Social Networks and Contact Information From Email and the Web | 2004 | 151 |
| 20 | Interactive information extraction with constrained conditional random fields | 2004 | 98 |
About Aron Culotta
Aron Culotta is a scholar working on Communication, Artificial Intelligence and Management Science and Operations Research, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Text and Document Classification Technologies (10 papers), Misinformation and Its Impacts (9 papers), Data Quality and Management (9 papers), Social Media and Politics (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Natural Language Processing Techniques (7 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Communication (387 citations) and Statistical and Nonlinear Physics (351 citations). Aron Culotta has collaborated with scholars based in United States, Ireland and Norway. Frequent co-authors include Jeffrey Sorensen, Andrew McCallum, Jennifer Cutler, Andrew McCallum, Michael Wick, Ron Bekkerman, Jonathan Betz, Christopher Brown, Zahra Ashktorab and Chris K. Williams. Their work appears in journals such as Journal of Artificial Intelligence Research, Transportation Research Part C Emerging Technologies, Social Network Analysis and Mining, Marketing Science and Journal of Information Technology & Politics.
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.