Matthew C. Reeves

81 total papers · 1.1k total citations
32 papers, 687 citations indexed

About

Matthew C. Reeves is a scholar working on Global and Planetary Change, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Matthew C. Reeves has authored 32 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 25 papers in Ecology and 9 papers in Nature and Landscape Conservation. Recurrent topics in Matthew C. Reeves's work include Rangeland and Wildlife Management (21 papers), Fire effects on ecosystems (13 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Matthew C. Reeves is often cited by papers focused on Rangeland and Wildlife Management (21 papers), Fire effects on ecosystems (13 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Matthew C. Reeves collaborates with scholars based in United States, China and Canada. Matthew C. Reeves's co-authors include Maosheng Zhao, Steven W. Running, S. W. Running, L. Scott Baggett, Adam Moreno, Kevin C. Ryan, Thomas G. Thompson, Matthew G. Rollins, David D. Briske and Matthew Jones and has published in prestigious journals such as Global Change Biology, Climatic Change and International Journal of Remote Sensing.

In The Last Decade

Matthew C. Reeves

32 papers receiving 652 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew C. Reeves 466 446 160 104 90 32 687
Santiago Baeza 290 0.6× 322 0.7× 237 1.5× 127 1.2× 42 0.5× 28 674
Anthony M. Swemmer 222 0.5× 344 0.8× 315 2.0× 89 0.9× 70 0.8× 35 674
Zhengguo Sun 323 0.7× 408 0.9× 123 0.8× 227 2.2× 69 0.8× 29 753
Marcos D. Robles 311 0.7× 459 1.0× 248 1.6× 88 0.8× 48 0.5× 23 788
N. Zambatis 310 0.7× 267 0.6× 308 1.9× 93 0.9× 50 0.6× 18 617
Taisuke Yasuda 379 0.8× 181 0.4× 161 1.0× 165 1.6× 123 1.4× 31 730
Rubén A. Montes 223 0.5× 387 0.9× 256 1.6× 55 0.5× 67 0.7× 15 675
Kusum Naithani 340 0.7× 276 0.6× 75 0.5× 74 0.7× 48 0.5× 27 672
Dawei Xu 369 0.8× 215 0.5× 102 0.6× 88 0.8× 149 1.7× 32 660
Heinrich Hasenack 230 0.5× 221 0.5× 223 1.4× 99 1.0× 103 1.1× 35 720

Countries citing papers authored by Matthew C. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Reeves

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

All Works

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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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