ACM Transactions on Intelligent Systems and Technology

1.1k papers and 51.3k indexed citations i.

About

The 1.1k papers published in ACM Transactions on Intelligent Systems and Technology in the last decades have received a total of 51.3k indexed citations. Papers published in ACM Transactions on Intelligent Systems and Technology usually cover Artificial Intelligence (560 papers), Computer Vision and Pattern Recognition (313 papers) and Information Systems (249 papers) specifically the topics of Recommender Systems and Techniques (143 papers), Human Mobility and Location-Based Analysis (143 papers) and Topic Modeling (114 papers). The most active scholars publishing in ACM Transactions on Intelligent Systems and Technology are Chih‐Jen Lin, Chih-Chung Chang, Yu Zheng, Qiang Yang, Yang Liu, Steffen Rendle, Tianjian Chen, Yongxin Tong, Diane J. Cook and Jure Leskovec.

In The Last Decade

Fields of papers published in ACM Transactions on Intelligent Systems and Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on Intelligent Systems and Technology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ACM Transactions on Intelligent Systems and Technology.

Countries where authors publish in ACM Transactions on Intelligent Systems and Technology

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Transactions on Intelligent Systems and Technology. 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 papers published in ACM Transactions on Intelligent Systems and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Transactions on Intelligent Systems and Technology 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.

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2025