Building Predictive Models in R Using the caret Package
- Authors
- Max Kühn
- Journal
- SHILAP Revista de lepidopterología
In The Last Decade
doi.org/w2388322 →Countries where authors are citing Building Predictive Models in R Using the caret Package
This map shows the geographic impact of Building Predictive Models in R Using the caret Package. 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 Building Predictive Models in R Using the caret Package with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Building Predictive Models in R Using the caret Package more than expected).
Fields of papers citing Building Predictive Models in R Using the caret Package
This network shows the impact of Building Predictive Models in R Using the caret Package. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Building Predictive Models in R Using the caret Package.
About Building Predictive Models in R Using the caret Package
This paper, published in 2008, received 519 indexed citations . Written by Max Kühn. It is primarily cited by scholars working on Molecular Biology (111 citations), Artificial Intelligence (67 citations), Ecology (53 citations), Environmental Engineering (49 citations) and Global and Planetary Change (35 citations). Published in SHILAP Revista de lepidopterología.
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/w2388322.