ACM Transactions on Internet Technology

763 papers and 13.9k indexed citations
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About

The 763 papers published in ACM Transactions on Internet Technology in the last decades have received a total of 13.9k indexed citations. Papers published in ACM Transactions on Internet Technology usually cover Computer Networks and Communications (361 papers), Information Systems (326 papers) and Artificial Intelligence (300 papers) specifically the topics of IoT and Edge/Fog Computing (115 papers), Caching and Content Delivery (83 papers) and Privacy-Preserving Technologies in Data (71 papers). The most active scholars publishing in ACM Transactions on Internet Technology are Richard N. Taylor, Roy T. Fielding, Magdalini Eirinaki, Michalis Vazirgiannis, Jennifer Golbeck, Neil Hurley, Héctor García-Molina, Junghoo Cho, Rajkumar Buyya and James Hendler.

In The Last Decade

ACM Transactions on Internet Technology

717 papers receiving 12.9k citations

Fields of papers published in ACM Transactions on Internet Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in ACM Transactions on Internet Technology

Since Specialization
Citations

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