Jake M. Ferguson

998 total citations
37 papers, 727 citations indexed

About

Jake M. Ferguson is a scholar working on Ecology, Nature and Landscape Conservation and Global and Planetary Change. According to data from OpenAlex, Jake M. Ferguson has authored 37 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 12 papers in Nature and Landscape Conservation and 6 papers in Global and Planetary Change. Recurrent topics in Jake M. Ferguson's work include Wildlife Ecology and Conservation (10 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Isotope Analysis in Ecology (7 papers). Jake M. Ferguson is often cited by papers focused on Wildlife Ecology and Conservation (10 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Isotope Analysis in Ecology (7 papers). Jake M. Ferguson collaborates with scholars based in United States, Canada and Thailand. Jake M. Ferguson's co-authors include John B. Hopkins, Jeremy W. Lichstein, Douglas J. Levey, T. Trevor Caughlin, Sarayudh Bunyavejchewin, Paul L. Koch, Steven T. Kalinowski, Pieter A. Zuidema, José Miguel Ponciano and Aleksandar Vakanski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.

In The Last Decade

Jake M. Ferguson

35 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jake M. Ferguson United States 14 492 212 120 107 76 37 727
James W. Grier United States 12 531 1.1× 188 0.9× 120 1.0× 117 1.1× 76 1.0× 35 798
Chloé R. Nater Norway 9 284 0.6× 155 0.7× 112 0.9× 114 1.1× 79 1.0× 19 527
Ellie Owen United Kingdom 17 486 1.0× 130 0.6× 173 1.4× 109 1.0× 77 1.0× 39 678
Klara Dološ Germany 11 235 0.5× 245 1.2× 154 1.3× 67 0.6× 172 2.3× 22 519
Nick L. Rasmussen United States 9 223 0.5× 232 1.1× 128 1.1× 265 2.5× 136 1.8× 13 587
Dušan Romportl Czechia 16 302 0.6× 154 0.7× 240 2.0× 112 1.0× 111 1.5× 52 676
Aulay Mackenzie 2 355 0.7× 271 1.3× 147 1.2× 228 2.1× 43 0.6× 4 793
Marc J. Bechard United States 19 1.1k 2.3× 253 1.2× 217 1.8× 310 2.9× 193 2.5× 71 1.4k
Casey Youngflesh United States 12 452 0.9× 144 0.7× 136 1.1× 145 1.4× 215 2.8× 25 616
Blake M. Allan Australia 11 468 1.0× 133 0.6× 126 1.1× 45 0.4× 80 1.1× 17 695

Countries citing papers authored by Jake M. Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by Jake M. Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake M. Ferguson. 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 Jake M. Ferguson. The network helps show where Jake M. Ferguson may publish in the future.

Co-authorship network of co-authors of Jake M. Ferguson

This figure shows the co-authorship network connecting the top 25 collaborators of Jake M. Ferguson. A scholar is included among the top collaborators of Jake M. Ferguson 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 Jake M. Ferguson. Jake M. Ferguson 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.
Matsuda, Shayle B., et al.. (2025). Light-driven phenotypic plasticity in the depth-generalist coral, Pavona varians. PLoS ONE. 20(7). e0326069–e0326069. 1 indexed citations
2.
Ferguson, Jake M., et al.. (2023). A comparison of survey method efficiencies for estimating densities of zebra mussels ( Dreissena polymorpha ). PeerJ. 11. e15528–e15528. 1 indexed citations
3.
Ferguson, Jake M., et al.. (2023). Hidden variable models reveal the effects of infection from changes in host survival. PLoS Computational Biology. 19(2). e1010910–e1010910. 1 indexed citations
4.
Ferguson, Jake M., et al.. (2020). Ecological Forecasts Reveal Limitations of Common Model Selection Methods: Predicting Changes in Beaver Colony Densities. Bulletin of the Ecological Society of America. 101(4). 1 indexed citations
5.
Ferguson, Jake M., et al.. (2020). Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities. Ecological Applications. 31(1). e02198–e02198. 11 indexed citations
6.
Ferguson, Jake M., Mark L. Taper, Rosana Zenil‐Ferguson, Marie Jasieniuk, & Bruce D. Maxwell. (2019). Incorporating Parameter Estimability Into Model Selection. Frontiers in Ecology and Evolution. 7. 12 indexed citations
7.
Ferguson, Jake M., et al.. (2019). Using distance sampling to estimate densities of Zebra Mussels (Dreissena polymorpha) in early-stage invasions. Freshwater Science. 38(4). 856–868. 5 indexed citations
8.
Ferguson, Jake M., et al.. (2018). Radar quantifies migrant concentration and Dawn reorientation at a Great Lakes shoreline. Movement Ecology. 6(1). 15–15. 6 indexed citations
9.
Ferguson, Jake M. & Erkan O. Buzbas. (2018). Inference from the stationary distribution of allele frequencies in a family of Wright–Fisher models with two levels of genetic variability. Theoretical Population Biology. 122. 78–87. 1 indexed citations
10.
Tremblay, Raymond L., et al.. (2018). Sheltered from the storm? Population viability analysis of a rare endemic under periodic catastrophe regimes. Population Ecology. 61(1). 74–92. 15 indexed citations
11.
Hopkins, John B., et al.. (2017). Selecting the best stable isotope mixing model to estimate grizzly bear diets in the Greater Yellowstone Ecosystem. PLoS ONE. 12(5). e0174903–e0174903. 17 indexed citations
12.
Vakanski, Aleksandar, et al.. (2016). Mathematical Modeling and Evaluation of Human Motions in Physical Therapy Using Mixture Density Neural Networks. PubMed. 1(4). 27 indexed citations
13.
Ferguson, Jake M. & José Miguel Ponciano. (2015). Evidence and implications of higher-order scaling in the environmental variation of animal population growth. Proceedings of the National Academy of Sciences. 112(9). 2782–2787. 12 indexed citations
14.
Nifong, James C., Brian R. Silliman, Russell H. Lowers, et al.. (2014). Animal-Borne Imaging Reveals Novel Insights into the Foraging Behaviors and Diel Activity of a Large-Bodied Apex Predator, the American Alligator (Alligator mississippiensis). PLoS ONE. 9(1). e83953–e83953. 27 indexed citations
15.
Hopkins, John B., Paul L. Koch, Jake M. Ferguson, & Steven T. Kalinowski. (2014). The changing anthropogenic diets of American black bears over the past century in Yosemite National Park. Frontiers in Ecology and the Environment. 12(2). 107–114. 53 indexed citations
16.
Ferguson, Jake M., et al.. (2014). Optimal Sampling Strategies for Detecting Zoonotic Disease Epidemics. PLoS Computational Biology. 10(6). e1003668–e1003668. 11 indexed citations
17.
Ferguson, Jake M. & José Miguel Ponciano. (2013). Predicting the process of extinction in experimental microcosms and accounting for interspecific interactions in single‐species time series. Ecology Letters. 17(2). 251–259. 13 indexed citations
18.
Hopkins, John B. & Jake M. Ferguson. (2012). Estimating the Diets of Animals Using Stable Isotopes and a Comprehensive Bayesian Mixing Model. PLoS ONE. 7(1). e28478–e28478. 157 indexed citations
19.
Ferguson, Jake M.. (2007). Should the United States Increase the Federal Gasoline Tax. UNI ScholarWorks (University of Northern Iowa). 9(1). 41–58. 1 indexed citations
20.
Utley, Martin, Steve Gallivan, Jane Biddulph, Mark McCarthy, & Jake M. Ferguson. (2003). ARMADA – A Computer Model of the Impact of Environmental Factors on Health. Health Care Management Science. 6(3). 137–146. 8 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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