ACM Transactions on the Web

411 papers and 8.2k indexed citations i.

About

The 411 papers published in ACM Transactions on the Web in the last decades have received a total of 8.2k indexed citations. Papers published in ACM Transactions on the Web usually cover Information Systems (249 papers), Artificial Intelligence (206 papers) and Computer Networks and Communications (108 papers) specifically the topics of Complex Network Analysis Techniques (76 papers), Web Data Mining and Analysis (75 papers) and Spam and Phishing Detection (67 papers). The most active scholars publishing in ACM Transactions on the Web are Lada A. Adamic, Jure Leskovec, Bernardo A. Huberman, Kwei-Jay Lin, Yue Zhang, Tao Yu, Jennifer Golbeck, Wei‐Ying Ma, Xing Xie and Yu Zheng.

In The Last Decade

Fields of papers published in ACM Transactions on the Web

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on the Web. 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 the Web.

Countries where authors publish in ACM Transactions on the Web

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Transactions on the Web. 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 the Web 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 the Web 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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