Matthew A. Barbour

1.2k total citations
33 papers, 798 citations indexed

About

Matthew A. Barbour is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Global and Planetary Change. According to data from OpenAlex, Matthew A. Barbour has authored 33 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, Evolution, Behavior and Systematics, 11 papers in Nature and Landscape Conservation and 9 papers in Global and Planetary Change. Recurrent topics in Matthew A. Barbour's work include Plant and animal studies (16 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Plant Parasitism and Resistance (5 papers). Matthew A. Barbour is often cited by papers focused on Plant and animal studies (16 papers), Ecology and Vegetation Dynamics Studies (10 papers) and Plant Parasitism and Resistance (5 papers). Matthew A. Barbour collaborates with scholars based in United States, Canada and Switzerland. Matthew A. Barbour's co-authors include Rulon W. Clark, Jordi Bascompte, Gregory M. Crutsinger, David M. Rizzo, Patricia E. Maloney, Erik S. Jules, Riitta Julkunen‐Tiitto, Miguel A. Fortuna, Denon Start and Mariano A. Rodríguez‐Cabal and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Ecology.

In The Last Decade

Matthew A. Barbour

30 papers receiving 775 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew A. Barbour United States 18 319 298 283 259 193 33 798
Roger Catchpole United Kingdom 5 340 1.1× 310 1.0× 258 0.9× 207 0.8× 201 1.0× 8 868
Tess Nahanni Grainger Canada 13 282 0.9× 247 0.8× 324 1.1× 117 0.5× 118 0.6× 22 655
Wolf‐Christian Saul Germany 13 284 0.9× 442 1.5× 339 1.2× 130 0.5× 128 0.7× 18 831
Matthew C. Hutchinson United States 15 258 0.8× 421 1.4× 250 0.9× 118 0.5× 103 0.5× 22 766
Carol R. Townsend United States 13 386 1.2× 380 1.3× 239 0.8× 325 1.3× 261 1.4× 20 1.0k
Suhel Quader India 18 383 1.2× 378 1.3× 246 0.9× 197 0.8× 113 0.6× 38 851
Casey P. terHorst United States 18 402 1.3× 279 0.9× 228 0.8× 105 0.4× 231 1.2× 42 860
Benoît Facon France 7 325 1.0× 324 1.1× 217 0.8× 104 0.4× 298 1.5× 7 818
Martin Jones United Kingdom 18 257 0.8× 365 1.2× 317 1.1× 108 0.4× 127 0.7× 60 784
Chris Wiley United States 18 436 1.4× 518 1.7× 168 0.6× 251 1.0× 369 1.9× 26 1.1k

Countries citing papers authored by Matthew A. Barbour

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Barbour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Barbour

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

All Works

20 of 20 papers shown
1.
Grainger, Tess Nahanni, et al.. (2025). The Equilibrium Conundrum. Ecology Letters. 28(11). e70232–e70232.
2.
Barbour, Matthew A., et al.. (2025). Linking plant genes to arthropod community dynamics: current progress and future challenges. Plant and Cell Physiology. 66(4). 506–513.
3.
Sato, Yasuhiro, et al.. (2023). Genome-wide association study of aphid abundance highlights a locus affecting plant growth and flowering in Arabidopsis thaliana. Royal Society Open Science. 10(8). 230399–230399. 3 indexed citations
4.
Young, Steven G., James A. Valdez, Michelle Espy, et al.. (2023). Analysis of Coronado State Historic Site artifacts using X‐rays. X-Ray Spectrometry. 53(1). 2–15. 1 indexed citations
5.
Barbour, Matthew A., Daniel J. Kliebenstein, & Jordi Bascompte. (2022). A keystone gene underlies the persistence of an experimental food web. Science. 376(6588). 70–73. 28 indexed citations
6.
Capdevila, Pol, Iain Stott, Imma Oliveras Menor, et al.. (2021). Reconciling resilience across ecological systems, species and subdisciplines. Journal of Ecology. 109(9). 3102–3113. 28 indexed citations
7.
Fortuna, Miguel A., Matthew A. Barbour, Luis Zaman, et al.. (2019). Coevolutionary dynamics shape the structure of bacteria‐phage infection networks. Evolution. 73(5). 1001–1011. 36 indexed citations
8.
Rudman, Seth M., Matthew A. Barbour, Katalin Csilléry, et al.. (2017). What genomic data can reveal about eco-evolutionary dynamics. Nature Ecology & Evolution. 2(1). 9–15. 57 indexed citations
9.
Osmond, Matthew M., Matthew A. Barbour, Joey R. Bernhardt, et al.. (2017). Warming-Induced Changes to Body Size Stabilize Consumer-Resource Dynamics. The American Naturalist. 189(6). 718–725. 32 indexed citations
10.
Slinn, Heather L., Matthew A. Barbour, Kerri M. Crawford, Mariano A. Rodríguez‐Cabal, & Gregory M. Crutsinger. (2016). Genetic variation in resistance to leaf fungus indirectly affects spider density. Ecology. 98(3). 875–881. 4 indexed citations
11.
Barbour, Matthew A., Miguel A. Fortuna, Jordi Bascompte, et al.. (2016). Genetic specificity of a plant–insect food web: Implications for linking genetic variation to network complexity. Proceedings of the National Academy of Sciences. 113(8). 2128–2133. 55 indexed citations
12.
Barbour, Matthew A., et al.. (2016). Freedom to move: Arctic caterpillar (Lepidoptera) growth rate increases with access to new willows (Salicaceae). The Canadian Entomologist. 148(6). 673–682. 4 indexed citations
13.
Barbour, Matthew A., Mariano A. Rodríguez‐Cabal, Riitta Julkunen‐Tiitto, et al.. (2015). Multiple plant traits shape the genetic basis of herbivore community assembly. Functional Ecology. 29(8). 995–1006. 62 indexed citations
14.
Barbour, Matthew A., Mariano A. Rodríguez‐Cabal, Riitta Julkunen‐Tiitto, et al.. (2014). Data from: Multiple plant traits shape the genetic basis of herbivore community assembly. Data Archiving and Networked Services (DANS). 1 indexed citations
15.
Barbour, Matthew A. & Rulon W. Clark. (2012). Diel Cycles in Chemosensory Behaviors of Free‐Ranging Rattlesnakes Lying in Wait for Prey. Ethology. 118(5). 480–488. 13 indexed citations
16.
Joshi, Sanjay S., Ryan C. Johnson, Aaron Rundus, et al.. (2011). Robotic Squirrel Models. IEEE Robotics & Automation Magazine. 18(4). 59–68. 2 indexed citations
17.
Molina, José Antonio, et al.. (2009). Plant communities as a tool in temporary ponds conservation in SW Portugal. Hydrobiologia. 634(1). 11–24. 44 indexed citations
18.
Barbour, Matthew A., et al.. (2003). Vernal pool vegetation of California: variation within pools.. Madroño; a West American journal of botany. 50(3). 129–146. 30 indexed citations
19.
Barbour, Matthew A., et al.. (2002). Present and past old‐growth forests of the Lake Tahoe Basin, Sierra Nevada, US. Journal of Vegetation Science. 13(4). 461–472. 61 indexed citations
20.
Barbour, Matthew A., et al.. (2002). Present and past old-growth forests of the Lake Tahoe Basin, Sierra Nevada, US. Journal of Vegetation Science. 13(4). 461–461. 56 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.

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