Ryan C. Blackburn

640 total citations · 1 hit paper
12 papers, 442 citations indexed

About

Ryan C. Blackburn is a scholar working on Nature and Landscape Conservation, Ecology and Global and Planetary Change. According to data from OpenAlex, Ryan C. Blackburn has authored 12 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nature and Landscape Conservation, 7 papers in Ecology and 5 papers in Global and Planetary Change. Recurrent topics in Ryan C. Blackburn's work include Ecology and Vegetation Dynamics Studies (5 papers), Rangeland and Wildlife Management (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Ryan C. Blackburn is often cited by papers focused on Ecology and Vegetation Dynamics Studies (5 papers), Rangeland and Wildlife Management (4 papers) and Remote Sensing and LiDAR Applications (4 papers). Ryan C. Blackburn collaborates with scholars based in United States, Sweden and France. Ryan C. Blackburn's co-authors include Holly P. Jones, Peter C. Jones, Karen D. Holl, José María Rey Beñayas, Michelle L. McCrackin, Edward B. Barbier, Paula Meli, David Moreno‐Mateos, Daniel Montoya and Andrew J. Sánchez Meador and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Ecology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Ryan C. Blackburn

10 papers receiving 431 citations

Hit Papers

align trajectories

What are hit papers?

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.

Restoration and repair of Earth's damaged ecosystems

2018 254 citations Holly P. Jones, Peter C. Jones et al. Proceedings of the Royal Society B Biological Sciences profile →

Peers

Countries citing papers authored by Ryan C. Blackburn

Since Specialization

Citations

This map shows the geographic impact of Ryan C. Blackburn'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 Ryan C. Blackburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan C. Blackburn more than expected).

Fields of papers citing papers by Ryan C. Blackburn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan C. Blackburn. 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 Ryan C. Blackburn. The network helps show where Ryan C. Blackburn may publish in the future.

Co-authorship network of co-authors of Ryan C. Blackburn

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan C. Blackburn. A scholar is included among the top collaborators of Ryan C. Blackburn 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 Ryan C. Blackburn. Ryan C. Blackburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Title	Journal	Authors	Indexed citations
1	UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a northern Arizona landscape	Landscape Ecology	Ryan C. Blackburn, Ginger Allington et al.	0
2	Eigenfeature‐enhanced deep learning: advancing tree species classification in mixed conifer forests with lidar	Remote Sensing in Ecology and Conservation	Ryan C. Blackburn, Robert Buscaglia et al.	0
3	Assessing changes to ecosystem structure and function following invasion by Spartina alterniflora and Phragmites australis: a meta-analysis	Biological Invasions	Ryan C. Blackburn, John P. Vanek et al.	27
4	Effects of management outweigh effects of plant diversity on restored animal communities in tallgrass prairies	Proceedings of the National Academy of Sciences	Peter W. Guiden, Nicholas A. Barber et al.	43
5	Detectability of Clothing Color by Small Unmanned Aircraft Systems for Search and Rescue Operations	The Journal of Aviation/Aerospace Education and Research	Ryan C. Blackburn, Robert Joslin	1
6	Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?	Remote Sensing	Jonathon J. Donager, Andrew J. Sánchez Meador et al.	47
7	Mixtures of airborne lidar-based approaches improve predictions of forest structure	Canadian Journal of Forest Research	Ryan C. Blackburn, Robert Buscaglia et al.	9
8	Monitoring ecological characteristics of a tallgrass prairie using an unmanned aerial vehicle	Restoration Ecology	Ryan C. Blackburn, Nicholas A. Barber et al.	12
9	Plant Community Shifts in Response to Fire and Bison in a Restored Tallgrass Prairie	Natural Areas Journal	Ryan C. Blackburn, Nicholas A. Barber et al.	9
10	Reintroduced bison diet changes throughout the season in restored prairie	Restoration Ecology	Ryan C. Blackburn, Nicholas A. Barber et al.	9
11	Grassland restoration characteristics influence phylogenetic and taxonomic structure of plant communities and suggest assembly mechanisms	Journal of Ecology	Nicholas A. Barber, Ryan C. Blackburn et al.	31
12	Restoration and repair of Earth's damaged ecosystems breakdown →	Proceedings of the Royal Society B Biological Sciences	Holly P. Jones, Peter C. Jones et al.	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.

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