The ecodist Package for Dissimilarity-based Analysis of Ecological Data
Impact in
Classified as
- Authors
- Sarah GosleeDean L. Urban
- Journal
- Journal of Statistical Software
In The Last Decade
doi.org/10.18637/jss.v022.i07 →Countries where authors are citing The ecodist Package for Dissimilarity-based Analysis of Ecological Data
This map shows the geographic impact of The ecodist Package for Dissimilarity-based Analysis of Ecological Data. 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 The ecodist Package for Dissimilarity-based Analysis of Ecological Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The ecodist Package for Dissimilarity-based Analysis of Ecological Data more than expected).
Fields of papers citing The ecodist Package for Dissimilarity-based Analysis of Ecological Data
This network shows the impact of The ecodist Package for Dissimilarity-based Analysis of Ecological Data. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The ecodist Package for Dissimilarity-based Analysis of Ecological Data.
About The ecodist Package for Dissimilarity-based Analysis of Ecological Data
This paper, published in 2007, received 2.1k indexed citations . Written by Sarah Goslee and Dean L. Urban covering the research area of Nature and Landscape Conservation and Ecological Modeling. It is primarily cited by scholars working on Ecology (908 citations), Genetics (610 citations), Ecology, Evolution, Behavior and Systematics (553 citations), Nature and Landscape Conservation (537 citations) and Plant Science (357 citations). Published in Journal of Statistical Software.
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/10.18637/jss.v022.i07.