ACM Transactions on Information Systems

1.4k papers and 69.7k indexed citations

About

The 1.4k papers published in ACM Transactions on Information Systems in the last decades have received a total of 69.7k indexed citations. Papers published in ACM Transactions on Information Systems usually cover Artificial Intelligence (862 papers), Information Systems (737 papers) and Computer Vision and Pattern Recognition (236 papers) specifically the topics of Topic Modeling (395 papers), Recommender Systems and Techniques (388 papers) and Advanced Graph Neural Networks (198 papers). The most active scholars publishing in ACM Transactions on Information Systems are Kalervo Järvelin, Jaana Kekäläinen, Joseph A. Konstan, John Riedl, Loren Terveen, Thomas Hofmann, Jonathan L. Herlocker, Hsinchun Chen, George Karypis and Mukund Deshpande.

In The Last Decade

ACM Transactions on Information Systems

1.3k papers receiving 62.9k citations

Countries where authors publish in ACM Transactions on Information Systems

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Transactions on Information Systems. 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 Information Systems 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 Information Systems more than expected).

Fields of papers published in ACM Transactions on Information Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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