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.
Remote sensing for biodiversity science and conservation
20031.0k citationsWoody Turner, Sacha Spector 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 Matthew Fladeland
Since
Specialization
Citations
This map shows the geographic impact of Matthew Fladeland'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 Matthew Fladeland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Fladeland more than expected).
Fields of papers citing papers by Matthew Fladeland
This network shows the impact of papers produced by Matthew Fladeland. 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 Matthew Fladeland. The network helps show where Matthew Fladeland may publish in the future.
Co-authorship network of co-authors of Matthew Fladeland
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Fladeland.
A scholar is included among the top collaborators of Matthew Fladeland 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 Matthew Fladeland. Matthew Fladeland is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Diaz, J. A., Matthew Fladeland, L. E. Christensen, et al.. (2018). UAS based in-situ volcanic plume characterization for airborne and satellite retrieval validation: VEREX mission results at Kilauea Volcano. AGU Fall Meeting Abstracts. 2018.1 indexed citations
Diaz, J. A., Matthew Fladeland, Maria Fabrizia Buongiorno, et al.. (2015). Volcanic sulfur dioxide and carbon dioxide measurements using small unmanned aerial systems. 2015 AGU Fall Meeting. 2015.1 indexed citations
6.
Diaz, J. A., et al.. (2015). Unmanned Airborne System Deployment at Turrialba Volcano for Real Time Eruptive Cloud Measurements. AGU Fall Meeting Abstracts. 2015.1 indexed citations
7.
Werner, C. A., Christoph Kern, P. J. Kelly, et al.. (2015). Volcano Gas Measurements from UAS – Customization of Sensors and Platforms. AGU Fall Meeting Abstracts. 2015.2 indexed citations
Fladeland, Matthew, et al.. (2014). Earthbound Unmanned Autonomous Vehicles (UAVS) As Planetary Science Testbeds. 2014 AGU Fall Meeting. 2014.1 indexed citations
11.
Diaz, J. A., et al.. (2013). Near-vent measurements of volcanic gases and aerosols with multiple small unmanned aerial vehicles. AGUFM. 2013.1 indexed citations
Herzfeld, U. C., et al.. (2009). Characterization of Fram Strait Sea Ice Conditions Using the NASA SIERRA Unmanned Aircraft System. AGUFM. 2009.3 indexed citations
16.
Palo, S. E., et al.. (2009). Performance assessment of a small LIDAR altimeter deployed on unmanned aircraft for glacier and sea ice surface topography profiling. AGUFM. 2009.2 indexed citations
17.
Fladeland, Matthew, et al.. (2008). The NASA SIERRA UAV: A new unmanned aircraft for earth science investigations. AGU Fall Meeting Abstracts. 2008.5 indexed citations
18.
Smith, Marie-Louise, Jeanne E. Anderson, & Matthew Fladeland. (2008). Forest canopy structural properties. Chapter 14. 179–196.1 indexed citations
19.
Turner, Woody, Sacha Spector, Ned Gardiner, et al.. (2003). Remote sensing for biodiversity science and conservation. Trends in Ecology & Evolution. 18(6). 306–314.1012 indexed citations breakdown →
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.