Computer Languages Systems & Structures

268 papers and 1.8k indexed citations i.

About

The 268 papers published in Computer Languages Systems & Structures in the last decades have received a total of 1.8k indexed citations. Papers published in Computer Languages Systems & Structures usually cover Artificial Intelligence (172 papers), Information Systems (111 papers) and Software (94 papers) specifically the topics of Advanced Software Engineering Methodologies (79 papers), Logic, programming, and type systems (69 papers) and Software Engineering Research (64 papers). The most active scholars publishing in Computer Languages Systems & Structures are Alberto Rodrigues da Silva, Jitender Kumar Chhabra, Walter Cazzola, Sté́phane Ducasse, Roel Wuyts, Marjan Mernik, V. Žumer, Oscar Nierstrasz, Kim Mens and Alexandre Bergel.

In The Last Decade

Fields of papers published in Computer Languages Systems & Structures

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Languages Systems & Structures. 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 Computer Languages Systems & Structures.

Countries where authors publish in Computer Languages Systems & Structures

Since Specialization
Citations

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