Introduction to Distance Sampling: Estimating Abundance of Biological Populations
Impact in
- Ecology 1.7k
Classified as
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w72192205 →Countries where authors are citing Introduction to Distance Sampling: Estimating Abundance of Biological Populations
This map shows the geographic impact of Introduction to Distance Sampling: Estimating Abundance of Biological Populations. 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 Introduction to Distance Sampling: Estimating Abundance of Biological Populations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Introduction to Distance Sampling: Estimating Abundance of Biological Populations more than expected).
Fields of papers citing Introduction to Distance Sampling: Estimating Abundance of Biological Populations
This network shows the impact of Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Introduction to Distance Sampling: Estimating Abundance of Biological Populations.
About Introduction to Distance Sampling: Estimating Abundance of Biological Populations
This paper, published in 2001, received 2.0k indexed citations . Written by S. T. Buckland, Debra Anderson, K. P. Burnham, Jeff Laake, David L. Borchers and Len Thomas covering the research area of Statistics and Probability and Artificial Intelligence. It is primarily cited by scholars working on Ecology (1.7k citations), Nature and Landscape Conservation (551 citations), Global and Planetary Change (436 citations), Ecological Modeling (328 citations) and Ecology, Evolution, Behavior and Systematics (230 citations). Published in Medical Entomology and Zoology.
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/w72192205.