Orange: data mining toolbox in python
In The Last Decade
doi.org/w11865444 →Countries where authors are citing Orange: data mining toolbox in python
This map shows the geographic impact of Orange: data mining toolbox in python. 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 Orange: data mining toolbox in python with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orange: data mining toolbox in python more than expected).
Fields of papers citing Orange: data mining toolbox in python
This network shows the impact of Orange: data mining toolbox in python. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Orange: data mining toolbox in python.
About Orange: data mining toolbox in python
This paper, published in 2013, received 1.2k indexed citations . Written by Janez Demšar, Tomaž Curk, Tomaž Hočevar, Martin Možina, Marko Toplak, Miha Štajdohar, Lan Umek, Lan Žagar, Jure Žbontar and Marinka Žitnik covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Molecular Biology (234 citations), Artificial Intelligence (207 citations) and Information Systems (97 citations). Published in Journal of Machine Learning 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/w11865444.