C4.5: Programs for Machine Learning
- Authors
- J. R. Quinlan
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w61430725 →Countries where authors are citing C4.5: Programs for Machine Learning
This map shows the geographic impact of C4.5: Programs for Machine 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 C4.5: Programs for Machine Learning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C4.5: Programs for Machine Learning more than expected).
Fields of papers citing C4.5: Programs for Machine Learning
This network shows the impact of C4.5: Programs for Machine Learning. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the C4.5: Programs for Machine Learning.
About C4.5: Programs for Machine Learning
This paper, published in 1992, received 15.5k indexed citations . Written by J. R. Quinlan covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (8.7k citations), Information Systems (4.6k citations) and Computational Theory and Mathematics (2.0k citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w61430725.