IBM Systems Journal

1.4k papers and 35.9k indexed citations

About

The 1.4k papers published in IBM Systems Journal in the last decades have received a total of 35.9k indexed citations. Papers published in IBM Systems Journal usually cover Computer Networks and Communications (653 papers), Information Systems (446 papers) and Artificial Intelligence (353 papers) specifically the topics of Distributed and Parallel Computing Systems (254 papers), Service-Oriented Architecture and Web Services (196 papers) and Parallel Computing and Optimization Techniques (145 papers). The most active scholars publishing in IBM Systems Journal are John A. Zachman, Jack Bresenham, John C. Henderson, L. A. Belady, Michael Fagan, Thad Starner, Moshé M. Zloof, Greg B. Davis, Walter Bender and David J. Snowden.

In The Last Decade

IBM Systems Journal

1.2k papers receiving 30.3k citations

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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