Matthew Strimas‐Mackey

1.9k total citations · 2 hit papers
29 papers, 777 citations indexed

About

Matthew Strimas‐Mackey is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Matthew Strimas‐Mackey has authored 29 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 17 papers in Ecological Modeling and 14 papers in Nature and Landscape Conservation. Recurrent topics in Matthew Strimas‐Mackey's work include Species Distribution and Climate Change (17 papers), Wildlife Ecology and Conservation (14 papers) and Ecology and Vegetation Dynamics Studies (12 papers). Matthew Strimas‐Mackey is often cited by papers focused on Species Distribution and Climate Change (17 papers), Wildlife Ecology and Conservation (14 papers) and Ecology and Vegetation Dynamics Studies (12 papers). Matthew Strimas‐Mackey collaborates with scholars based in United States, Canada and United Kingdom. Matthew Strimas‐Mackey's co-authors include Daniel Fink, Orin J. Robinson, Viviana Ruiz‐Gutiérrez, Eliot T. Miller, Alison Johnston, Richard Schuster, Tom Auer, Steve Kelling, Wesley M. Hochachka and Jeffrey O. Hanson and has published in prestigious journals such as Science, Nature Communications and Physical Review B.

In The Last Decade

Matthew Strimas‐Mackey

27 papers receiving 756 citations

Hit Papers

Analytical guidelines to increase the value of community ... 2021 2026 2022 2024 2021 2024 50 100 150
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.

  1. Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions
    2021 181 citations Alison Johnston, Wesley M. Hochachka et al. Diversity and Distributions profile →
  2. Mapping the planet’s critical areas for biodiversity and nature’s contributions to people
    2024 43 citations Rachel Neugarten, Rebecca Chaplin‐Kramer et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Strimas‐Mackey United States 15 457 361 237 205 127 29 777
John W. Wilkinson United Kingdom 12 541 1.2× 268 0.7× 163 0.7× 268 1.3× 105 0.8× 30 837
Michael J. Mossman United States 10 452 1.0× 148 0.4× 165 0.7× 308 1.5× 91 0.7× 13 665
Daniel Martínez Spain 16 341 0.7× 148 0.4× 568 2.4× 147 0.7× 456 3.6× 33 862
Markus Ahola Finland 19 865 1.9× 412 1.1× 203 0.9× 231 1.1× 302 2.4× 36 1.1k
Tristan A. Nuñez United States 7 657 1.4× 536 1.5× 322 1.4× 274 1.3× 145 1.1× 10 973
Orin J. Robinson United States 15 667 1.5× 508 1.4× 293 1.2× 210 1.0× 133 1.0× 39 939
Giulio Valentino Dalla Riva New Zealand 11 300 0.7× 213 0.6× 316 1.3× 98 0.5× 373 2.9× 18 775
Rajan Amin United Kingdom 7 373 0.8× 277 0.8× 218 0.9× 133 0.6× 77 0.6× 8 566
Linda A. Weir United States 7 495 1.1× 324 0.9× 160 0.7× 167 0.8× 98 0.8× 8 636
Antoine Sierro Switzerland 8 409 0.9× 230 0.6× 161 0.7× 172 0.8× 192 1.5× 13 613

Countries citing papers authored by Matthew Strimas‐Mackey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Strimas‐Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Strimas‐Mackey. 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 Strimas‐Mackey. The network helps show where Matthew Strimas‐Mackey may publish in the future.

Co-authorship network of co-authors of Matthew Strimas‐Mackey

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Strimas‐Mackey. A scholar is included among the top collaborators of Matthew Strimas‐Mackey 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 Strimas‐Mackey. Matthew Strimas‐Mackey 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.
Stillman, Andrew N., Courtney L. Davis, Viviana Ruiz‐Gutiérrez, et al.. (2025). A Framework for Assessing the Habitat Correlates of Spatially Explicit Population Trends. Diversity and Distributions. 31(5).
2.
Johnston, Alison, Amanda D. Rodewald, Matthew Strimas‐Mackey, et al.. (2025). North American bird declines are greatest where species are most abundant. Science. 388(6746). 532–537. 9 indexed citations
3.
Stillman, Andrew N., Gavin M. Jones, Matthew Strimas‐Mackey, et al.. (2025). Evaluating macroecological fire impacts on bird populations. Frontiers in Ecology and the Environment. 23(9).
4.
Freeman, Benjamin G., Eliot T. Miller, & Matthew Strimas‐Mackey. (2024). Interspecific competition shapes bird species' distributions along tropical precipitation gradients. Ecology Letters. 27(8). e14487–e14487. 2 indexed citations
5.
Neugarten, Rachel, Rebecca Chaplin‐Kramer, Richard Sharp, et al.. (2024). Mapping the planet’s critical areas for biodiversity and nature’s contributions to people. Nature Communications. 15(1). 261–261. 43 indexed citations breakdown →
6.
Hanson, Jeffrey O., Richard Schuster, Matthew Strimas‐Mackey, et al.. (2024). Systematic conservation prioritization with the prioritizr R package. Conservation Biology. 39(1). e14376–e14376. 29 indexed citations
7.
Fink, Daniel, Alison Johnston, Matthew Strimas‐Mackey, et al.. (2023). A Double machine learning trend model for citizen science data. Methods in Ecology and Evolution. 14(9). 2435–2448. 29 indexed citations
8.
Sorte, Frank A. La, Alison Johnston, Amanda D. Rodewald, et al.. (2022). The role of artificial light at night and road density in predicting the seasonal occurrence of nocturnally migrating birds. Diversity and Distributions. 28(5). 992–1009. 13 indexed citations
9.
Ruiz‐Gutiérrez, Viviana, Mark C. Otto, Guthrie S. Zimmerman, et al.. (2021). A pathway for citizen science data to inform policy: A case study using eBird data for defining low‐risk collision areas for wind energy development. Journal of Applied Ecology. 58(6). 1104–1111. 25 indexed citations
10.
Schrimpf, Michael B., Alison Johnston, Adam C. Smith, et al.. (2021). Reduced human activity during COVID-19 alters avian land use across North America. Science Advances. 7(39). eabf5073–eabf5073. 46 indexed citations
11.
Johnston, Alison, Wesley M. Hochachka, Matthew Strimas‐Mackey, et al.. (2021). Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions. Diversity and Distributions. 27(7). 1265–1277. 181 indexed citations breakdown →
12.
Scholer, Micah N., Matthew Strimas‐Mackey, & Jill E. Jankowski. (2020). A meta‐analysis of global avian survival across species and latitude. Ecology Letters. 23(10). 1537–1549. 31 indexed citations
13.
Robinson, Orin J., Viviana Ruiz‐Gutiérrez, Mark Reynolds, et al.. (2020). Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models. Diversity and Distributions. 26(8). 976–986. 88 indexed citations
14.
Schuetz, Justin G., Matthew Strimas‐Mackey, & Tom Auer. (2020). colorist : An r package for colouring wildlife distributions in space–time. Methods in Ecology and Evolution. 11(11). 1476–1482. 1 indexed citations
15.
Odom, Karan J., Marcelo Araya‐Salas, Kyle G. Horton, et al.. (2020). Breeding season length predicts duet coordination and consistency in Neotropical wrens (Troglodytidae). Proceedings of the Royal Society B Biological Sciences. 287(1941). 20202482–20202482. 9 indexed citations
16.
Strimas‐Mackey, Matthew, et al.. (2020). Access and Analyze eBird Status and Trends Data [R package ebirdst version 0.2.1]. 1 indexed citations
17.
Rodewald, Amanda D., Matthew Strimas‐Mackey, Richard Schuster, & Peter Arcese. (2019). Tradeoffs in the value of biodiversity feature and cost data in conservation prioritization. Scientific Reports. 9(1). 15921–15921. 18 indexed citations
18.
Johnston, Alison, Tom Auer, Daniel Fink, et al.. (2019). Comparing abundance distributions and range maps in spatial conservation planning for migratory species. Ecological Applications. 30(3). 24 indexed citations
19.
Rodewald, Amanda D., Matthew Strimas‐Mackey, Richard Schuster, & Peter Arcese. (2019). Beyond canaries in coal mines: Co-occurrence of Andean mining concessions and migratory birds. Perspectives in Ecology and Conservation. 17(3). 151–156. 7 indexed citations
20.
Nastos, F., Julien Rioux, Matthew Strimas‐Mackey, Bernardo S. Mendoza, & J. E. Sipe. (2007). Full band structure LDA andk∙pcalculations of optical spin-injection. Physical Review B. 76(20). 48 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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