William E. Peterman

3.2k total citations · 1 hit paper
92 papers, 2.2k citations indexed

About

William E. Peterman is a scholar working on Global and Planetary Change, Ecology and Ecological Modeling. According to data from OpenAlex, William E. Peterman has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Global and Planetary Change, 49 papers in Ecology and 35 papers in Ecological Modeling. Recurrent topics in William E. Peterman's work include Amphibian and Reptile Biology (52 papers), Species Distribution and Climate Change (35 papers) and Wildlife Ecology and Conservation (32 papers). William E. Peterman is often cited by papers focused on Amphibian and Reptile Biology (52 papers), Species Distribution and Climate Change (35 papers) and Wildlife Ecology and Conservation (32 papers). William E. Peterman collaborates with scholars based in United States, Brazil and France. William E. Peterman's co-authors include Raymond D. Semlitsch, John A. Crawford, Lori S. Eggert, Grant M. Connette, Joseph R. Milanovich, Thomas L. Anderson, Dana L. Drake, Brittany H. Ousterhout, John C. Maerz and Nathan P. Nibbelink and has published in prestigious journals such as PLoS ONE, Ecology and Global Change Biology.

In The Last Decade

William E. Peterman

86 papers receiving 2.2k citations

Hit Papers

ResistanceGA: An R package for the optimization of resist... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William E. Peterman United States 26 1.3k 1.1k 830 615 614 92 2.2k
Juan M. Pleguezuelos Spain 27 1.1k 0.8× 1.0k 0.9× 804 1.0× 480 0.8× 424 0.7× 109 2.0k
Claudia Corti Italy 22 681 0.5× 1.0k 0.9× 681 0.8× 391 0.6× 532 0.9× 102 1.7k
Michelle S. Koo United States 18 799 0.6× 670 0.6× 941 1.1× 543 0.9× 477 0.8× 39 1.8k
Gustavo A. Llorente Spain 31 1.3k 1.1× 1.7k 1.6× 891 1.1× 594 1.0× 397 0.6× 128 2.8k
Fernando Martínez‐Freiría Portugal 23 705 0.6× 684 0.6× 867 1.0× 311 0.5× 563 0.9× 96 1.6k
Guillermo Velo‐Antón Portugal 27 794 0.6× 930 0.8× 671 0.8× 491 0.8× 884 1.4× 119 1.9k
Giovanni Amori Italy 24 2.0k 1.5× 545 0.5× 835 1.0× 795 1.3× 727 1.2× 143 2.8k
Andrew A. Burbidge Australia 16 2.3k 1.8× 537 0.5× 829 1.0× 766 1.2× 662 1.1× 48 2.9k
Michael E. Dorcas United States 31 1.7k 1.4× 1.6k 1.4× 635 0.8× 1.1k 1.8× 262 0.4× 84 2.7k
Travis Ingram New Zealand 23 1.1k 0.9× 560 0.5× 346 0.4× 900 1.5× 692 1.1× 62 2.4k

Countries citing papers authored by William E. Peterman

Since Specialization
Citations

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

Fields of papers citing papers by William E. Peterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Peterman. 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 William E. Peterman. The network helps show where William E. Peterman may publish in the future.

Co-authorship network of co-authors of William E. Peterman

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Peterman. A scholar is included among the top collaborators of William E. Peterman 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 William E. Peterman. William E. Peterman 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.
Crawford, John A., et al.. (2025). Spatio‐Temporal Comparisons Between Microclimate Species Distribution Models and Mechanistic Models of Potential Surface Activity. Ecology and Evolution. 15(7). e71813–e71813. 1 indexed citations
2.
Peterman, William E., et al.. (2025). Three‐Dimensional Habitat Structure Drives Avian Functional and Trait Diversity Across North America. Ecology and Evolution. 15(4). e70988–e70988. 1 indexed citations
3.
Fonseca, Emanuel M., Nathaniel S. Pope, William E. Peterman, et al.. (2024). Genetic structure and landscape effects on gene flow in the Neotropical lizard Norops brasiliensis (Squamata: Dactyloidae). Heredity. 132(6). 284–295.
7.
Peterman, William E., et al.. (2024). Population viability analysis for the common mudpuppy: Assessing potential impacts of TFM lampricide bycatch. Animal Conservation. 28(3). 380–388.
8.
Hoffman, Andrew, et al.. (2023). Demography and space‐use of Eastern Red‐backed Salamanders (Plethodon cinereus) between mature and successional forests. Ecology and Evolution. 13(1). e9764–e9764. 5 indexed citations
9.
Peterman, William E.. (2023). One metric or many? Refining the analytical framework of landscape resistance estimation in individual‐based landscape genetic analyses. Molecular Ecology Resources. 24(1). e13876–e13876. 2 indexed citations
10.
Lulla, Vijay, William E. Peterman, Robert D. Denton, et al.. (2022). Linking genetic structure, landscape genetics, and species distribution modeling for regional conservation of a threatened freshwater turtle. Landscape Ecology. 37(4). 1017–1034. 13 indexed citations
11.
Peterman, William E., et al.. (2021). Small mammal daily activity periods derived using AHDriFT camera traps. Mammal Research. 66(2). 289–300.
12.
Peterman, William E., et al.. (2021). Evaluation of the AHDriFT Camera Trap System to Survey for Small Mammals and Herpetofauna. Journal of Fish and Wildlife Management. 12(1). 197–207. 9 indexed citations
13.
Connette, Grant M., John A. Crawford, Daniel J. Hocking, et al.. (2020). Predicted alteration of surface activity as a consequence of climate change. Ecology. 101(11). e03154–e03154. 13 indexed citations
14.
Peterman, William E., et al.. (2019). A comparison of popular approaches to optimize landscape resistance surfaces. Landscape Ecology. 34(9). 2197–2208. 50 indexed citations
15.
Peterman, William E.. (2018). ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms. Methods in Ecology and Evolution. 9(6). 1638–1647. 244 indexed citations breakdown →
16.
Crawford, John A., et al.. (2017). Chytrid Infection Dynamics in Cricket Frogs on Military and Public Lands in the Midwestern United States. Journal of Fish and Wildlife Management. 8(2). 344–352. 3 indexed citations
17.
Connette, Grant M., John A. Crawford, & William E. Peterman. (2015). Climate change and shrinking salamanders: alternative mechanisms for changes in plethodontid salamander body size. Global Change Biology. 21(8). 2834–2843. 47 indexed citations
18.
Semlitsch, Raymond D., William E. Peterman, Thomas L. Anderson, Dana L. Drake, & Brittany H. Ousterhout. (2015). Intermediate Pond Sizes Contain the Highest Density, Richness, and Diversity of Pond-Breeding Amphibians. PLoS ONE. 10(4). e0123055–e0123055. 79 indexed citations
19.
Peterman, William E. & Raymond D. Semlitsch. (2013). Fine-Scale Habitat Associations of a Terrestrial Salamander: The Role of Environmental Gradients and Implications for Population Dynamics. PLoS ONE. 8(5). e62184–e62184. 88 indexed citations
20.
Milanovich, Joseph R., William E. Peterman, Nathan P. Nibbelink, & John C. Maerz. (2010). Projected Loss of a Salamander Diversity Hotspot as a Consequence of Projected Global Climate Change. PLoS ONE. 5(8). e12189–e12189. 153 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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