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.
Topographic structure from motion: a new development in photogrammetric measurement
2012872 citationsMark A. Fonstad, J. Dietrich et al.Earth Surface Processes and Landformsprofile →
Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry
2014320 citationsAmy Woodget, Patrice Carbonneau et al.Earth Surface Processes and Landformsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Patrice Carbonneau
Since
Specialization
Citations
This map shows the geographic impact of Patrice Carbonneau'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 Patrice Carbonneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrice Carbonneau more than expected).
Fields of papers citing papers by Patrice Carbonneau
This network shows the impact of papers produced by Patrice Carbonneau. 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 Patrice Carbonneau. The network helps show where Patrice Carbonneau may publish in the future.
Co-authorship network of co-authors of Patrice Carbonneau
This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Carbonneau.
A scholar is included among the top collaborators of Patrice Carbonneau 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 Patrice Carbonneau. Patrice Carbonneau is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Carbonneau, Patrice, Toby P. Breckon, J. Dietrich, et al.. (2019). Generalised classification of hyperspatial resolution airborne imagery of fluvial scenes with deep convolutional neural networks.. EGUGA. 1865.2 indexed citations
Carbonneau, Patrice & T. D. James. (2014). On the Quality of Point-Clouds Derived from Sfm-Photogrammetry Applied to UAS Imagery. 2014 AGU Fall Meeting. 2014.1 indexed citations
14.
Forkosh‐Baruch, Alona, et al.. (2014). Water Quality Measurements from Hyperspectral Remote Sensing: The Case of the River Ganga. AGUFM. 2014.1 indexed citations
15.
Hauber, Ernst, T. Platz, D. Reiss, et al.. (2013). Old or not so Old: That is the Question for Deltas and Fans in Xanthe Terra, Mars. elib (German Aerospace Center). 2513.2 indexed citations
16.
Fonstad, Mark A., et al.. (2011). Topographic Structure from Motion. AGUFM. 2011.6 indexed citations
Woodget, Amy, Daniel N.M. Donoghue, & Patrice Carbonneau. (2007). An assessment of airborne lidar for forest growth studies. University of Zagreb University Computing Centre (SRCE). 47–52.4 indexed citations
Carbonneau, Patrice, et al.. (2004). Remote Sensing Innovations Applied to Mapping the Fluvial Habitat of Atlantic Salmon. AGU Spring Meeting Abstracts. 2004.1 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.