Python Machine Learning
- Authors
- Sebastian Raschka
In The Last Decade
doi.org/w32628512 →Countries where authors are citing Python Machine Learning
This map shows the geographic impact of Python 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 Python 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 Python Machine Learning more than expected).
Fields of papers citing Python Machine Learning
This network shows the impact of Python 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 Python Machine Learning.
About Python Machine Learning
This paper, published in 2015, received 421 indexed citations . Written by Sebastian Raschka covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (114 citations), Computer Vision and Pattern Recognition (42 citations) and Information Systems (39 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/w32628512.