Random search for hyper-parameter optimization
Impact in
Classified as
- Authors
- James BergstraYoshua Bengio
In The Last Decade
doi.org/w42880975 →Countries where authors are citing Random search for hyper-parameter optimization
This map shows the geographic impact of Random search for hyper-parameter optimization. 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 Random search for hyper-parameter optimization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Random search for hyper-parameter optimization more than expected).
Fields of papers citing Random search for hyper-parameter optimization
This network shows the impact of Random search for hyper-parameter optimization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Random search for hyper-parameter optimization.
About Random search for hyper-parameter optimization
This paper, published in 2012, received 5.6k indexed citations . Written by James Bergstra and Yoshua Bengio covering the research area of Computational Theory and Mathematics and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (836 citations), Electrical and Electronic Engineering (537 citations), Environmental Engineering (389 citations) and Information Systems (370 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/w42880975.