Travis Seaborn

424 citations
24 papers · 282 indexed · h-index 11
Topics
Species Distribution and Climate Change (12 papers)Genetic diversity and population structure (9 papers)Fish Ecology and Management Studies (6 papers)

In The Last Decade

Travis Seaborn

23 papers receiving 279 citations

Peers

Travis Seaborn
Comparison fields: 5 of 71
  • Ecology 135
  • Nature and Landscape Conservation 87
  • Ecological Modeling 85
  • Genetics 79
  • Global and Planetary Change 73
Replace Jeyaraj Antony Johnson with:
Jeyaraj Antony Johnson India
M. Weilenmann United Kingdom
Paulo Travassos Portugal
H. Sierdsema Netherlands
Marian Talbert United States
Ana Ceia‐Hasse Portugal
Craig Bienz United States
Samantha G. Robinson United States
Jérôme Guélat Switzerland
Katharine M. Banner United States
Travis Seaborn relative to Jeyaraj Antony Johnson India Jeyaraj Antony Johnson's profile →
Citations per field
00.5×1.6×
Jeyaraj Antony Johnson · 1×
Citations per year

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
#WorkIndexed citations
1 5
2 1
3 1
4 4
5 3
6 2
7 2
8 2
9 26
10 41
11
Evaluating the Influence of Beaver Ponds on Nonnative Brook Trout in Idaho Streams Using Species Distribution Models
0
12 12
13 21
14 20
15 7
16 10
17 2
18 25
19 9
20 11

About Travis Seaborn

Travis Seaborn is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 24 papers that have together received 282 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (12 papers), Genetic diversity and population structure (9 papers) and Fish Ecology and Management Studies (6 papers). The work is most often cited by research in Ecological Modeling (85 citations), Nature and Landscape Conservation (87 citations) and Ecology (135 citations). Travis Seaborn has collaborated with scholars based in United States, Canada and Switzerland. Frequent 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. Their work appears in journals such as Scientific Reports, Global Change Biology and Molecular Ecology.

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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