Multitask learning
Impact in
Classified as
- Authors
- Rich Caruana
In The Last Decade
doi.org/w77905332 →Countries where authors are citing Multitask learning
This map shows the geographic impact of Multitask learning. 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 Multitask learning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multitask learning more than expected).
Fields of papers citing Multitask learning
This network shows the impact of Multitask learning. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multitask learning.
About Multitask learning
This paper, published in 1998, received 722 indexed citations . Written by Rich Caruana covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (528 citations), Computer Vision and Pattern Recognition (217 citations), Signal Processing (78 citations), Molecular Biology (53 citations) and Information Systems (51 citations).
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/w77905332.