Countries where authors publish in Web Intelligence
Since Specialization
Citations
This map shows the geographic impact of research published in Web Intelligence. 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 Web Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Web Intelligence more than expected).
This network shows the impact of papers published in Web Intelligence. 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 Web Intelligence.
About Web Intelligence
The 529 papers published in Web Intelligence in the last decades have received a total of 3.5k indexed citations . Papers published in Web Intelligence usually cover Information Systems (215 papers), Artificial Intelligence (245 papers), Computer Networks and Communications (121 papers), Signal Processing (48 papers) and Statistical and Nonlinear Physics (48 papers) specifically the topics of Web Data Mining and Analysis (69 papers), Semantic Web and Ontologies (58 papers), Recommender Systems and Techniques (48 papers), Advanced Text Analysis Techniques (48 papers), Complex Network Analysis Techniques (46 papers), Service-Oriented Architecture and Web Services (40 papers), Topic Modeling (37 papers) and Data Management and Algorithms (35 papers). The most active scholars publishing in Web Intelligence are Ning Zhong, Yuefeng Li, Yao Wang, Julita Vassileva, Steffen Staab, Alexander Maedche, Viktor Pekar, H. Ritter, Min Tian and Andreas Gramm.
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.