MOA: Massive Online Analysis
In The Last Decade
doi.org/w8859498 →Countries where authors are citing MOA: Massive Online Analysis
This map shows the geographic impact of MOA: Massive Online Analysis. 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 MOA: Massive Online Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MOA: Massive Online Analysis more than expected).
Fields of papers citing MOA: Massive Online Analysis
This network shows the impact of MOA: Massive Online Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the MOA: Massive Online Analysis.
About MOA: Massive Online Analysis
This paper, published in 2010, received 703 indexed citations . Written by Albert Bifet, Geoffrey Holmes, Richard Kirkby and Bernhard Pfahringer covering the research area of Artificial Intelligence and Signal Processing. It is primarily cited by scholars working on Artificial Intelligence (635 citations), Signal Processing (188 citations) and Computer Networks and Communications (162 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/w8859498.