Twenty-Ninth AAAI Conference on Artificial Intelligence
- Journal
- National Conference on Artificial Intelligence
In The Last Decade
doi.org/w3038452 →Countries where authors are citing Twenty-Ninth AAAI Conference on Artificial Intelligence
This map shows the geographic impact of Twenty-Ninth AAAI Conference on 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 Twenty-Ninth AAAI Conference on 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 Twenty-Ninth AAAI Conference on Artificial Intelligence more than expected).
Fields of papers citing Twenty-Ninth AAAI Conference on Artificial Intelligence
This network shows the impact of Twenty-Ninth AAAI Conference on 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 Twenty-Ninth AAAI Conference on Artificial Intelligence.
About Twenty-Ninth AAAI Conference on Artificial Intelligence
This paper, published in 2015, received 379 indexed citations . Written by Stefano V. Albrecht, Jacob W. Crandall and Ram Ramamoorthy. It is primarily cited by scholars working on Artificial Intelligence (224 citations), Computer Vision and Pattern Recognition (90 citations) and Information Systems (66 citations). Published in National Conference on 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.
This paper is also available at doi.org/w3038452.