JUCS - Journal of Universal Computer Science

1.3k papers and 4.8k indexed citations

About

The 1.3k papers published in JUCS - Journal of Universal Computer Science in the last decades have received a total of 4.8k indexed citations. Papers published in JUCS - Journal of Universal Computer Science usually cover Artificial Intelligence (449 papers), Information Systems (366 papers) and Computer Networks and Communications (242 papers) specifically the topics of Service-Oriented Architecture and Web Services (112 papers), Semantic Web and Ontologies (111 papers) and Business Process Modeling and Analysis (61 papers). The most active scholars publishing in JUCS - Journal of Universal Computer Science are Daniel D. Suthers, Davide Anguita, Miltiadis D. Lytras, José Bravo, Νικόλαος Πέλλας, Jorge Luís Victória Barbosa, Francisco José García‐Peñalvo, Patricia Ordóñez de Pablos, Ramón Hervás and Christiane Gresse von Wangenheim.

In The Last Decade

JUCS - Journal of Universal Computer Science

846 papers receiving 4.1k citations

Fields of papers published in JUCS - Journal of Universal Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in JUCS - Journal of Universal Computer Science. 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 JUCS - Journal of Universal Computer Science.

Countries where authors publish in JUCS - Journal of Universal Computer Science

Since Specialization
Citations

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