James Caverlee

77 papers and 1.8k indexed citations i.

About

James Caverlee is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, James Caverlee has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Information Systems, 39 papers in Artificial Intelligence and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in James Caverlee’s work include Spam and Phishing Detection (21 papers), Complex Network Analysis Techniques (17 papers) and Recommender Systems and Techniques (15 papers). James Caverlee is often cited by papers focused on Spam and Phishing Detection (21 papers), Complex Network Analysis Techniques (17 papers) and Recommender Systems and Techniques (15 papers). James Caverlee collaborates with scholars based in United States, China and South Korea. James Caverlee's co-authors include Zhiyuan Cheng, Kyumin Lee, Daniel Z. Sui, Kyumin Lee, Ying Ding, Brian Eoff, Erjia Yan, A. E. Frazho, Hancheng Ge and Xia Hu and has published in prestigious journals such as Information Sciences, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of James Caverlee i

Fields of papers citing papers by James Caverlee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by James Caverlee

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025