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.
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
20092.7k citationsM. A. Friedl, Damien Sulla‐Menashe et al.Remote Sensing of Environmentprofile →
Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information
2008647 citationsAnnemarie Schneider, Curtis E. WoodcockUrban Studiesprofile →
Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’
2010559 citationsAnnemarie Schneider, M. A. Friedl et al.Remote Sensing of Environmentprofile →
Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
2012364 citationsAnnemarie SchneiderRemote Sensing of Environmentprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Annemarie Schneider
Since
Specialization
Citations
This map shows the geographic impact of Annemarie Schneider'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 Annemarie Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annemarie Schneider more than expected).
Fields of papers citing papers by Annemarie Schneider
This network shows the impact of papers produced by Annemarie Schneider. 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 Annemarie Schneider. The network helps show where Annemarie Schneider may publish in the future.
Co-authorship network of co-authors of Annemarie Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Annemarie Schneider.
A scholar is included among the top collaborators of Annemarie Schneider 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 Annemarie Schneider. Annemarie Schneider is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schneider, Annemarie. (2012). Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach. Remote Sensing of Environment. 124. 689–704.364 indexed citations breakdown →
Schneider, Annemarie, M. A. Friedl, & David Potere. (2010). Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’. Remote Sensing of Environment. 114(8). 1733–1746.559 indexed citations breakdown →
10.
Schneider, Annemarie. (2010). Just married. 12(2). 17–17.1 indexed citations
11.
Friedl, M. A., Damien Sulla‐Menashe, Bin Tan, et al.. (2009). MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment. 114(1). 168–182.2698 indexed citations breakdown →
Schneider, Annemarie & Curtis E. Woodcock. (2008). Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information. Urban Studies. 45(3). 659–692.647 indexed citations breakdown →
Schneider, Annemarie. (1964). Noncongressional land-survey divisions in Indiana. Proceedings of the Indiana Academy of Science. 74. 248–254.
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.