Journal of Web Engineering

691 papers and 2.6k indexed citations i.

About

The 691 papers published in Journal of Web Engineering in the last decades have received a total of 2.6k indexed citations. Papers published in Journal of Web Engineering usually cover Information Systems (341 papers), Artificial Intelligence (212 papers) and Computer Networks and Communications (165 papers) specifically the topics of QoS-Aware Web Services Composition and Semantic Matching (124 papers), Web Data Mining and Analysis (105 papers) and Wind and Air Flow Studies (79 papers). The most active scholars publishing in Journal of Web Engineering are J. Franke, Hiroshi IMAMURA, Minoru Suzuki, Tatsuo Maeda, Nora Koch, María José Escalona, Karen Renaud, Cho Do Xuan, David Lowe and Takeshi Ishihara.

In The Last Decade

Fields of papers published in Journal of Web Engineering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Web Engineering. 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 Journal of Web Engineering.

Countries where authors publish in Journal of Web Engineering

Since Specialization
Citations

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