The Problem of Overfitting
- Authors
- Douglas M. Hawkins
- Journal
- Journal of Chemical Information and Computer Sciences
In The Last Decade
doi.org/10.1021/ci0342472 →Countries where authors are citing The Problem of Overfitting
This map shows the geographic impact of The Problem of Overfitting. 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 The Problem of Overfitting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Problem of Overfitting more than expected).
Fields of papers citing The Problem of Overfitting
This network shows the impact of The Problem of Overfitting. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Problem of Overfitting.
About The Problem of Overfitting
This paper, published in 2003, received 1.8k indexed citations . Written by Douglas M. Hawkins covering the research area of Analytical Chemistry and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Artificial Intelligence (310 citations), Computational Theory and Mathematics (290 citations) and Molecular Biology (246 citations). Published in Journal of Chemical Information and Computer Sciences.
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/10.1021/ci0342472.