IBM Systems Journal

1.4k papers and 35.1k indexed citations i.

About

The 1.4k papers published in IBM Systems Journal in the last decades have received a total of 35.1k indexed citations. Papers published in IBM Systems Journal usually cover Computer Networks and Communications (652 papers), Information Systems (447 papers) and Artificial Intelligence (354 papers) specifically the topics of Distributed and Parallel Computing Systems (253 papers), QoS-Aware Web Services Composition and Semantic Matching (196 papers) and Advanced Database Systems and Queries (145 papers). The most active scholars publishing in IBM Systems Journal are John A. Zachman, Jack Bresenham, L. A. Belady, John C. Henderson, Michael Fagan, Thad Starner, Moshé M. Zloof, Greg B. Davis, Walter Bender and Daniel Gruhl.

In The Last Decade

Fields of papers published in IBM Systems Journal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IBM Systems Journal. 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 IBM Systems Journal.

Countries where authors publish in IBM Systems Journal

Since Specialization
Citations

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