Travis Seaborn

424 total citations
24 papers, 282 citations indexed

About

Travis Seaborn is a scholar working on Ecological Modeling, Ecology and Genetics. According to data from OpenAlex, Travis Seaborn has authored 24 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecological Modeling, 11 papers in Ecology and 10 papers in Genetics. Recurrent topics in Travis Seaborn's work include Species Distribution and Climate Change (12 papers), Genetic diversity and population structure (9 papers) and Fish Ecology and Management Studies (6 papers). Travis Seaborn is often cited by papers focused on Species Distribution and Climate Change (12 papers), Genetic diversity and population structure (9 papers) and Fish Ecology and Management Studies (6 papers). Travis Seaborn collaborates with scholars based in United States, Canada and Switzerland. Travis Seaborn's co-authors include Caren Goldberg, Erica J. Crespi, Christopher C. Caudill, Lisette P. Waits, Shawn R. Narum, Zhongqi Chen, Andrew Kliskey, Kimberly R. Andrews, Timothy E. Link and Zhe Wang and has published in prestigious journals such as Scientific Reports, Global Change Biology and Molecular Ecology.

In The Last Decade

Travis Seaborn

23 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Seaborn United States 11 135 87 85 79 73 24 282
Paulo Travassos Portugal 12 160 1.2× 52 0.6× 51 0.6× 46 0.6× 65 0.9× 23 284
Jeyaraj Antony Johnson India 12 253 1.9× 238 2.7× 98 1.2× 49 0.6× 58 0.8× 75 470
M. Weilenmann United Kingdom 5 151 1.1× 125 1.4× 107 1.3× 43 0.5× 137 1.9× 6 340
H. Sierdsema Netherlands 9 193 1.4× 81 0.9× 136 1.6× 25 0.3× 80 1.1× 30 319
Caroline B. Turner United States 9 152 1.1× 109 1.3× 24 0.3× 150 1.9× 39 0.5× 12 370
Yohann Chauvier Switzerland 7 144 1.1× 166 1.9× 239 2.8× 36 0.5× 70 1.0× 11 364
D.L. Freeman United States 3 170 1.3× 99 1.1× 94 1.1× 31 0.4× 52 0.7× 3 338
Theresa L. Cole New Zealand 12 203 1.5× 70 0.8× 36 0.4× 125 1.6× 44 0.6× 27 377
Morteza Naderi Iran 10 200 1.5× 29 0.3× 116 1.4× 68 0.9× 59 0.8× 46 285
Neil Perry United States 10 162 1.2× 52 0.6× 46 0.5× 55 0.7× 44 0.6× 26 273

Countries citing papers authored by Travis Seaborn

Since Specialization
Citations

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

Fields of papers citing papers by Travis Seaborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis Seaborn. 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 Travis Seaborn. The network helps show where Travis Seaborn may publish in the future.

Co-authorship network of co-authors of Travis Seaborn

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Seaborn. A scholar is included among the top collaborators of Travis Seaborn 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 Travis Seaborn. Travis Seaborn 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.
Adams, Andrea J., Brian J. Halstead, Patrick M. Kleeman, et al.. (2024). From eDNA to decisions using a multi-method approach to restoration planning in streams. Scientific Reports. 14(1). 14335–14335. 5 indexed citations
2.
Seaborn, Travis, et al.. (2023). Genetic Distinctness and Diversity of American Aberdeen Cattle Compared to Common Beef Breeds in the United States. Genes. 14(10). 1842–1842. 1 indexed citations
3.
Seaborn, Travis, Erin L. Landguth, & Christopher C. Caudill. (2023). Simulating plasticity as a framework for understanding habitat selection and its role in adaptive capacity and extinction risk through an expansion of CDMetaPOP. Molecular Ecology Resources. 23(6). 1458–1472. 1 indexed citations
4.
Seaborn, Travis, et al.. (2023). Using Decision Analysis to Determine the Feasibility of a Conservation Translocation. Decision Analysis. 20(4). 295–310. 4 indexed citations
5.
Seaborn, Travis, Casey C. Day, Stephanie J. Galla, et al.. (2023). Individual-Based Models for Incorporating Landscape Processes in the Conservation and Management of Aquatic Systems. 8(3). 119–135. 3 indexed citations
6.
Fullerton, Aimee H., Todd Bennett, Michael L. McHenry, et al.. (2023). Using riverscape genetics to investigate the genetic response of two species and their life-history forms to dam removal. Frontiers in Ecology and Evolution. 11. 2 indexed citations
7.
Seaborn, Travis, et al.. (2023). Using social‐ecological models to explore stream connectivity outcomes for stakeholders and Yellowstone cutthroat trout. Ecological Applications. 33(8). e2915–e2915. 2 indexed citations
8.
Seaborn, Travis, et al.. (2021). Ecological adaptation drives wood frog population divergence in life history traits. Heredity. 126(5). 790–804. 2 indexed citations
9.
Seaborn, Travis, et al.. (2021). Modeling tree canopy height using machine learning over mixed vegetation landscapes. International Journal of Applied Earth Observation and Geoinformation. 101. 102353–102353. 26 indexed citations
10.
Chen, Zhongqi, et al.. (2021). Applying genomics in assisted migration under climate change: Framework, empirical applications, and case studies. Evolutionary Applications. 15(1). 3–21. 41 indexed citations
11.
Caudill, Christopher C., et al.. (2021). Evaluating the Influence of Beaver Ponds on Nonnative Brook Trout in Idaho Streams Using Species Distribution Models. Scholar Works (Boise State University).
12.
Pope, Karen L., et al.. (2020). Designing environmental DNA surveys in complex aquatic systems: Backpack sampling for rare amphibians in Sierra Nevada meadows. Aquatic Conservation Marine and Freshwater Ecosystems. 30(10). 1975–1987. 12 indexed citations
13.
Seaborn, Travis, Caren Goldberg, & Erica J. Crespi. (2020). Drivers of distributions and niches of North American cold‐adapted amphibians: evaluating both climate and land use. Ecological Applications. 31(2). e2236–e2236. 21 indexed citations
14.
Seaborn, Travis, Caren Goldberg, & Erica J. Crespi. (2020). Integration of dispersal data into distribution modeling: what have we done and what have we learned?. Frontiers of Biogeography. 12(4). 20 indexed citations
15.
16.
Seaborn, Travis, et al.. (2019). Landscape genetic inferences vary with sampling scenario for a pond‐breeding amphibian. Ecology and Evolution. 9(9). 5063–5078. 10 indexed citations
17.
Seaborn, Travis & Kefyn M. Catley. (2016). Abiotic Microhabitat Parameters of the Spruce—Fir Moss Spider,Microhexura montivagaCrosby and Bishop (Araneae: Dipluridae). Southeastern Naturalist. 15(1). 61–75. 2 indexed citations
18.
Crespi, Erica J., Leslie J. Rissler, Kristin Engbrecht, et al.. (2015). Geophysiology of Wood Frogs: Landscape Patterns of Prevalence of Disease and Circulating Hormone Concentrations across the Eastern Range. Integrative and Comparative Biology. 55(4). 602–617. 25 indexed citations
19.
Seaborn, Travis. (2014). Limpets and Their Algal Epibionts: Costs and Benefits ofAcrosiphoniaspp andUlva lactucaGrowth. Journal of Marine Biology. 2014. 1–7. 9 indexed citations
20.
Lee, Stephanie J., Travis Seaborn, Mary A. Schubert, et al.. (2009). Frequency of Abnormal Findings Detected by Comprehensive Clinical Evaluation at 1 Year after Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 15(4). 416–420. 11 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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