ACM Transactions on Database Systems

1.0k papers and 46.7k indexed citations i.

About

The 1.0k papers published in ACM Transactions on Database Systems in the last decades have received a total of 46.7k indexed citations. Papers published in ACM Transactions on Database Systems usually cover Computer Networks and Communications (839 papers), Artificial Intelligence (544 papers) and Signal Processing (523 papers) specifically the topics of Advanced Database Systems and Queries (650 papers), Data Management and Algorithms (516 papers) and Distributed systems and fault tolerance (232 papers). The most active scholars publishing in ACM Transactions on Database Systems are Peter Pin-Shan Chen, Ronald Fagin, Philip A. Bernstein, E. F. Codd, Héctor García-Molina, David W. Shipman, Robert Thomas, Jeffrey D. Ullman, Hanan Samet and Timos Sellis.

In The Last Decade

Fields of papers published in ACM Transactions on Database Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in ACM Transactions on Database Systems

Since Specialization
Citations

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