Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Reframing landscape fragmentation's effects on ecosystem services
2015396 citationsMatthew G. E. Mitchell, Andrés Felipe Suárez‐Castro et al.Trends in Ecology & Evolutionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Kasper Johansen
Since
Specialization
Citations
This map shows the geographic impact of Kasper Johansen's research. 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 Kasper Johansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kasper Johansen more than expected).
This network shows the impact of papers produced by Kasper Johansen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kasper Johansen. The network helps show where Kasper Johansen may publish in the future.
Co-authorship network of co-authors of Kasper Johansen
This figure shows the co-authorship network connecting the top 25 collaborators of Kasper Johansen.
A scholar is included among the top collaborators of Kasper Johansen based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Kasper Johansen. Kasper Johansen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Robson, Andrew, Muhammad Moshiur Rahman, Greg Falzon, et al.. (2016). Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane. International sugar journal. 118(1416). 936–942.10 indexed citations
14.
Mitchell, Matthew G. E., Andrés Felipe Suárez‐Castro, María José Martinez‐Harms, et al.. (2015). Reframing landscape fragmentation's effects on ecosystem services. Trends in Ecology & Evolution. 30(4). 190–198.396 indexed citations breakdown →
15.
Kamal, Muhammad, Stuart Phinn, & Kasper Johansen. (2013). Extraction of multi-scale mangrove features from WorldView-2 image data: an object-based image analysis approach. Queensland's institutional digital repository (The University of Queensland). 2. 1169–1175.1 indexed citations
Johansen, Kasper, Dirk Tiede, Thomas Blaschke, Stuart Phinn, & Lara A. Arroyo. (2010). Automatic geographic object based mapping of streambed and riparian zone extent from LiDAR data in a temperate Rural Urban environment, Australia. Queensland's institutional digital repository (The University of Queensland). 38.2 indexed citations
18.
Arroyo, Lara A., Kasper Johansen, & Stuart Phinn. (2010). Mapping land cover types from very high spatial resolution imagery: Automatic application of an object based classification scheme. Queensland's institutional digital repository (The University of Queensland). 38.3 indexed citations
19.
Johansen, Kasper & Stuart Phinn. (2009). Mapping riparian zones over large regions from high spatial resolution satellite and airborne imagery: Specifications for operational mapping. Queensland's institutional digital repository (The University of Queensland). 38(2). 1–6.1 indexed 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.