James Caverlee
Impact in
- Computational Mathematics top 0.5%
- Information Systems top 0.1%
- Spam and Phishing Detection
- Recommender Systems and Techniques
Papers in
-
- Recommender Systems and Techniques 51
- Spam and Phishing Detection 50
- Web Data Mining and Analysis 24
-
- Topic Modeling 34
- Co-authors
- Zhiyuan Cheng (16 shared papers)Steve Webb (15 shared papers)Kyumin Lee (3 shared papers)Kyumin Lee (20 shared papers)Ziwei Zhu (23 shared papers)Jianling Wang (22 shared papers)Xia Hu (8 shared papers)Ying Ding (3 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)Lecture notes in computer science (11 papers)Social Network Analysis and Mining (1 paper)International Journal of Web and Grid Services (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
James Caverlee
176 papers receiving 5.3k citations
James Caverlee's Hit Papers
Peers
Comparison fields: 5 of 136
- Computational Mathematics 177
- Information Systems 3.1k
- Transportation 759
- Statistical and Nonlinear Physics 1.0k
- Artificial Intelligence 2.5k
Countries citing papers authored by James Caverlee
This map shows the geographic impact of James Caverlee'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 James Caverlee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Caverlee more than expected).
Fields of papers citing papers by James Caverlee
This network shows the impact of papers produced by James Caverlee. 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 James Caverlee. The network helps show where James Caverlee may publish in the future.
Co-authors
The 25 scholars most cited alongside James Caverlee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | You are where you tweet Hit paper breakdown → | 2010 | 845 |
| 2 | Uncovering social spammers Hit paper breakdown → | 2010 | 496 |
| 3 | 2009 | 313 | |
| 4 | 2020 | 189 | |
| 5 | 2019 | 143 | |
| 6 | 2013 | 120 | |
| 7 | 2021 | 118 | |
| 8 | 2009 | 104 | |
| 9 | 2018 | 101 | |
| 10 | 2021 | 96 | |
| 11 | Social Honeypots: Making Friends With A Spammer Near You. | 2008 | 90 |
| 12 | 2018 | 87 | |
| 13 | 2009 | 87 | |
| 14 | 2010 | 81 | |
| 15 | 2008 | 75 | |
| 16 | Introducing the Webb Spam Corpus: Using Email Spam to Identify Web Spam Automatically | 2006 | 73 |
| 17 | 2013 | 72 | |
| 18 | 2021 | 72 | |
| 19 | 2020 | 68 | |
| 20 | 2020 | 68 |
About James Caverlee
James Caverlee is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing, having authored 189 papers that have together received 5.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (51 papers), Spam and Phishing Detection (50 papers), Complex Network Analysis Techniques (41 papers), Topic Modeling (34 papers), Web Data Mining and Analysis (24 papers), Mobile Crowdsensing and Crowdsourcing (21 papers), Advanced Bandit Algorithms Research (18 papers) and Network Security and Intrusion Detection (17 papers). The work is most often cited by research in Computational Mathematics (177 citations), Information Systems (3.1k citations), Transportation (759 citations), Statistical and Nonlinear Physics (1.0k citations) and Artificial Intelligence (2.5k citations). James Caverlee has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Zhiyuan Cheng, Steve Webb, Kyumin Lee, Kyumin Lee, Ziwei Zhu, Jianling Wang, Xia Hu, Ying Ding, Calton Pu and Erjia Yan. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, ACM Transactions on Intelligent Systems and Technology, Lecture notes in computer science, Social Network Analysis and Mining and International Journal of Web and Grid Services.
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.