Software & Systems Modeling

1.1k papers and 12.2k indexed citations i.

About

The 1.1k papers published in Software & Systems Modeling in the last decades have received a total of 12.2k indexed citations. Papers published in Software & Systems Modeling usually cover Software (611 papers), Artificial Intelligence (606 papers) and Information Systems (603 papers) specifically the topics of Model-Driven Software Engineering Techniques (501 papers), Advanced Software Engineering Methodologies (476 papers) and QoS-Aware Web Services Composition and Semantic Matching (346 papers). The most active scholars publishing in Software & Systems Modeling are Jean Bézivín, Thomas Kühne, Dániel Varró, Wil M. P. van der Aalst, Perdita Stevens, Bernhard Rumpe⋆, Brian Henderson‐Sellers, Yvan Labiche, Juan de Lara and Pieter J. Mosterman.

In The Last Decade

Fields of papers published in Software & Systems Modeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Software & Systems Modeling. 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 Software & Systems Modeling.

Countries where authors publish in Software & Systems Modeling

Since Specialization
Citations

This map shows the geographic impact of research published in Software & Systems Modeling. 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 Software & Systems Modeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Software & Systems Modeling 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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2025