2026 James Caverlee: 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	50	5551	5396	2537	2451	325	12019

Overview

James Caverlee is affiliated with Texas A&M University in the United States. Their research primarily focuses on the field of Computer Science with a strong emphasis on artificial intelligence and related subtopics.

Their main fields of study include:

Artificial Intelligence
Information Systems
Management Science and Operations Research
Computer Vision and Pattern Recognition
Statistical and Nonlinear Physics

Caverlee's research topics span various areas, especially:

Topic Modeling
Recommender Systems and Techniques
Advanced Bandit Algorithms Research
Multimodal Machine Learning Applications
Spam and Phishing Detection
Advanced Graph Neural Networks
Natural Language Processing Techniques

They have contributed extensively to several publication venues, notably:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Neural Networks and Learning Systems
Proceedings of the ACM Web Conference 2022

Best Publications

You are where you tweet: a content-based approach to geo-locating twitter users

Zhiyuan Cheng;James Caverlee;Kyumin Lee

1562
Citations
Exploring Millions of Footprints in Location Sharing Services

Zhiyuan Cheng;James Caverlee;Kyumin Lee;Daniel Z. Sui

955
Citations
Uncovering social spammers: social honeypots + machine learning

Kyumin Lee;James Caverlee;Steve Webb

943
Citations
Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter

Kyumin Lee;Brian David Eoff;James Caverlee

606
Citations
PageRank for ranking authors in co-citation networks

Ying Ding;Erjia Yan;Arthur Frazho;James Caverlee

506
Citations
Next-item Recommendation with Sequential Hypergraphs

Jianling Wang;Kaize Ding;Liangjie Hong;Huan Liu

268
Citations
Tensor Completion Algorithms in Big Data Analytics

Qingquan Song;Hancheng Ge;James Caverlee;Xia Hu

263
Citations
Location prediction in social media based on tie strength

Jeffrey McGee;James Caverlee;Zhiyuan Cheng

216
Citations
A Large-Scale Study of MySpace: Observations and Implications for Online Social Networks

James Caverlee;Steve Webb

186
Citations
Ranking Comments on the Social Web

Chiao-Fang Hsu;Elham Khabiri;James Caverlee

175
Citations
Fairness-Aware Tensor-Based Recommendation

Ziwei Zhu;Xia Hu;James Caverlee

166
Citations
Social Honeypots: Making Friends With A Spammer Near You.

Steve Webb;James Caverlee;Calton Pu

159
Citations
The SocialTrust framework for trusted social information management: Architecture and algorithms

James Caverlee;Ling Liu;Steve Webb

143
Citations
Introducing the Webb Spam Corpus: Using Email Spam to Identify Web Spam Automatically

Steve Webb;James Caverlee;Calton Pu

138
Citations
The social honeypot project: protecting online communities from spammers

Kyumin Lee;James Caverlee;Steve Webb

137
Citations
Popularity-Opportunity Bias in Collaborative Filtering

Ziwei Zhu;Yun He;Xing Zhao;Yin Zhang

134
Citations
Spatio-temporal dynamics of online memes: a study of geo-tagged tweets

Krishna Y. Kamath;James Caverlee;Kyumin Lee;Zhiyuan Cheng

129
Citations
Socialtrust: tamper-resilient trust establishment in online communities

James Caverlee;Ling Liu;Steve Webb

127
Citations
Neural Personalized Ranking for Image Recommendation

Wei Niu;James Caverlee;Haokai Lu

120
Citations
Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media

Kyumin Lee;Prithivi Tamilarasan;James Caverlee

116
Citations

Frequent Co-Authors

Ling Liu Georgia Institute of Technology

Calton Pu Georgia Institute of Technology

Xia Hu Rice University

Anna Cinzia Squicciarini Pennsylvania State University

Daniel Z. Sui The Ohio State University

Ying Ding The University of Texas at Austin

William B. Rouse Georgetown University

Jeffrey Nichols Apple (United States)

Erjia Yan Drexel University

Michelle X. Zhou IBM (United States)

External Links

Personal website of James Caverlee Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring online degrees opens up a wide range of opportunities for those interested in computer science and related fields. Many students seek the quickest degree to get online to fast-track their entry into the tech workforce, finding programs that offer both speed and solid earning potential.

Affordability is also a key consideration. Choosing the cheapest online master's in artificial intelligence can help you gain cutting-edge skills without accumulating excessive debt. This is especially important as AI continues to drive demand for specialized talent.

When selecting a major, focusing on the top degrees for the future—such as data science, cybersecurity, and software engineering—ensures you’re preparing for in-demand careers. For those seeking a less rigorous path, there are also options for easy masters degrees online that still deliver valuable credentials.

Ultimately, exploring these pathways online allows for flexibility, affordability, and relevance—all critical for success in today’s rapidly evolving tech landscape.