Artificial Intelligence
Impact in
- Signal Processing 3.4M
Also classified as
- Signal Processing 192.0k
- Information Systems 388.9k
Artificial Intelligence
640.7k papers receiving 7.0M citations
Countries where authors publish papers about Artificial Intelligence
This map shows the geographic impact of research in 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 about 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 Artificial Intelligence more than expected).
Fields of papers citing papers about Artificial Intelligence
This network shows the impact of papers covering 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 covering Artificial Intelligence.
About Artificial Intelligence
2.9M papers covering Artificial Intelligence have received a total of 53.5M indexed citations since 1950 . Papers on Artificial Intelligence are most often about the specific topic of Geochemistry and Geologic Mapping, Natural Language Processing Techniques, Neural Networks and Applications, Topic Modeling, Semantic Web and Ontologies, Quantum Information and Cryptography, Anomaly Detection Techniques and Applications and Geological and Geochemical Analysis and also cover the fields of Signal Processing, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications. Papers citing work on Artificial Intelligence are usually about Signal Processing, Computer Vision and Pattern Recognition, Geophysics, Health Informatics and Information Systems. Some of the most active scholars covering Artificial Intelligence are Leo Breiman, Geoffrey E. Hinton, Vladimir Vapnik, Stephen F. Altschul, Yoshua Bengio, Joseph Felsenstein, Jürgen Schmidhuber, L. A. Zadeh, Kaiming He and Hirotugu Akaike.
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.