Support Vector Regression Machines
- Journal
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
In The Last Decade
doi.org/w3818333 →Countries where authors are citing Support Vector Regression Machines
This map shows the geographic impact of Support Vector Regression Machines. 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 Support Vector Regression Machines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Support Vector Regression Machines more than expected).
Fields of papers citing Support Vector Regression Machines
This network shows the impact of Support Vector Regression Machines. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Support Vector Regression Machines.
About Support Vector Regression Machines
This paper, published in 1996, received 3.1k indexed citations . Written by Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex Smola and Vladimir Vapnik covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (771 citations), Electrical and Electronic Engineering (432 citations) and Computer Vision and Pattern Recognition (402 citations). Published in Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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/w3818333.