Applied Artificial Intelligence

1.8k papers and 26.4k indexed citations

About

The 1.8k papers published in Applied Artificial Intelligence in the last decades have received a total of 26.4k indexed citations. Papers published in Applied Artificial Intelligence usually cover Artificial Intelligence (881 papers), Computer Vision and Pattern Recognition (264 papers) and Information Systems (234 papers) specifically the topics of AI-based Problem Solving and Planning (124 papers), Semantic Web and Ontologies (123 papers) and Multi-Agent Systems and Negotiation (118 papers). The most active scholars publishing in Applied Artificial Intelligence are Cristina Conati, Maria Carolina Monard, Gustavo Batista, Morten Lind, Mohammed Brahimi, Kamel Boukhalfa, Abdelouahab Moussaouı, Igor Kononenko, Pattie Maes and Giorgos Zacharia.

In The Last Decade

Applied Artificial Intelligence

1.6k papers receiving 23.9k citations

Countries where authors publish in Applied Artificial Intelligence

Since Specialization
Citations

This map shows the geographic impact of research published in Applied Artificial 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 Applied Artificial Intelligence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Applied Artificial Intelligence more than expected).

Fields of papers published in Applied Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Artificial 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 Applied Artificial Intelligence.

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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