Multi- and megavariate data analysis
- Authors
- Lennart Eriksson
In The Last Decade
doi.org/w69952559 →Countries where authors are citing Multi- and megavariate data analysis
This map shows the geographic impact of Multi- and megavariate data 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 Multi- and megavariate data analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multi- and megavariate data analysis more than expected).
Fields of papers citing Multi- and megavariate data analysis
This network shows the impact of Multi- and megavariate data analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multi- and megavariate data analysis.
About Multi- and megavariate data analysis
This paper, published in 2006, received 586 indexed citations . Written by Lennart Eriksson. It is primarily cited by scholars working on Molecular Biology (244 citations), Analytical Chemistry (109 citations) and Plant Science (69 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/w69952559.