Jacob S. Ivan

1.8k total citations
40 papers, 916 citations indexed

About

Jacob S. Ivan is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Jacob S. Ivan has authored 40 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Ecology, 14 papers in Ecological Modeling and 9 papers in Nature and Landscape Conservation. Recurrent topics in Jacob S. Ivan's work include Wildlife Ecology and Conservation (34 papers), Species Distribution and Climate Change (14 papers) and Rangeland and Wildlife Management (9 papers). Jacob S. Ivan is often cited by papers focused on Wildlife Ecology and Conservation (34 papers), Species Distribution and Climate Change (14 papers) and Rangeland and Wildlife Management (9 papers). Jacob S. Ivan collaborates with scholars based in United States, Canada and Australia. Jacob S. Ivan's co-authors include Tanya M. Shenk, Eric S. Newkirk, Robert K. Murphy, Gary C. White, Robert K. Swihart, Michael K. Schwartz, Martha M. Ellis, John R. Squires, Lucretia E. Olson and Mevin B. Hooten and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecology and Scientific Reports.

In The Last Decade

Jacob S. Ivan

38 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob S. Ivan United States 19 809 288 192 148 106 40 916
Éric Marboutin France 17 633 0.8× 243 0.8× 187 1.0× 87 0.6× 93 0.9× 26 809
Kenneth F. Kellner United States 17 753 0.9× 294 1.0× 344 1.8× 175 1.2× 121 1.1× 73 1.0k
Kim A. Keating United States 13 944 1.2× 309 1.1× 337 1.8× 226 1.5× 148 1.4× 19 1.2k
Jonah L. Keim United States 11 791 1.0× 214 0.7× 205 1.1× 126 0.9× 95 0.9× 12 927
Kim G. Poole Canada 23 1.2k 1.4× 221 0.8× 179 0.9× 136 0.9× 93 0.9× 48 1.3k
Frank T. van Manen United States 26 1.3k 1.6× 284 1.0× 200 1.0× 198 1.3× 120 1.1× 85 1.5k
Guillaume Bastille‐Rousseau United States 22 887 1.1× 188 0.7× 193 1.0× 125 0.8× 156 1.5× 56 1.1k
Janice Reid United States 14 949 1.2× 375 1.3× 467 2.4× 294 2.0× 143 1.3× 16 1.1k
Sarah P. Saunders United States 19 646 0.8× 414 1.4× 328 1.7× 231 1.6× 226 2.1× 42 982
Christopher T. Rota United States 17 1.1k 1.3× 445 1.5× 378 2.0× 290 2.0× 130 1.2× 55 1.2k

Countries citing papers authored by Jacob S. Ivan

Since Specialization
Citations

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

Fields of papers citing papers by Jacob S. Ivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob S. Ivan. 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 Jacob S. Ivan. The network helps show where Jacob S. Ivan may publish in the future.

Co-authorship network of co-authors of Jacob S. Ivan

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob S. Ivan. A scholar is included among the top collaborators of Jacob S. Ivan 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 Jacob S. Ivan. Jacob S. Ivan 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.
Squires, John R., et al.. (2024). Anthropogenically protected but naturally disturbed: a specialist carnivore at its southern range periphery. Biodiversity and Conservation. 34(2). 401–427.
2.
Ivan, Jacob S., Karen E. Hodges, Joseph D. Holbrook, et al.. (2024). Reply to Thornton and Murray: Models for Canada lynx conservation planning require nuance. Biological Conservation. 299. 110836–110836.
3.
Hooten, Mevin B., et al.. (2024). Geostatistical capture–recapture models. Spatial Statistics. 59. 100817–100817. 2 indexed citations
4.
Hooten, Mevin B., et al.. (2023). Multistage hierarchical capture–recapture models. Environmetrics. 34(6). 3 indexed citations
5.
Ivan, Jacob S., Eric S. Newkirk, & Brian D. Gerber. (2023). Differential impacts of spruce beetle outbreaks on snowshoe hares and red squirrels in the southern Rocky Mountains. Forest Ecology and Management. 544. 121147–121147. 1 indexed citations
6.
Ivan, Jacob S., et al.. (2022). Community confounding in joint species distribution models. Scientific Reports. 12(1). 12235–12235. 6 indexed citations
7.
Olson, Lucretia E., Joseph D. Holbrook, Jacob S. Ivan, et al.. (2021). Improved prediction of Canada lynx distribution through regional model transferability and data efficiency. Ecology and Evolution. 11(4). 1667–1690. 15 indexed citations
8.
Kraberger, Simona, Nicholas M. Fountain‐Jones, Guy Baele, et al.. (2021). Complex evolutionary history of felid anelloviruses. Virology. 562. 176–189. 16 indexed citations
9.
Squires, John R., et al.. (2020). A specialized forest carnivore navigates landscape-level disturbance: Canada lynx in spruce-beetle impacted forests. Forest Ecology and Management. 475. 118400. 2 indexed citations
10.
Tabak, Michael A., Mohammad Sadegh Norouzzadeh, David W. Wolfson, et al.. (2020). Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2. Ecology and Evolution. 10(19). 10374–10383. 49 indexed citations
11.
Squires, John R., et al.. (2020). A specialized forest carnivore navigates landscape-level disturbance: Canada lynx in spruce-beetle impacted forests. Forest Ecology and Management. 475. 118400–118400. 10 indexed citations
12.
Zímová, Markéta, Alexej P. K. Sirén, J. Joshua Nowak, et al.. (2019). Local climate determines vulnerability to camouflage mismatch in snowshoe hares. Global Ecology and Biogeography. 29(3). 503–515. 25 indexed citations
13.
Gigliotti, Laura C., Nathan Berg, Rudy Boonstra, et al.. (2019). Latitudinal variation in snowshoe hare (Lepus americanus) body mass: a test of Bergmann’s rule. Canadian Journal of Zoology. 98(2). 88–95. 6 indexed citations
14.
Squires, John R., et al.. (2019). Winter recreation and Canada lynx: reducing conflict through niche partitioning. Ecosphere. 10(10). 13 indexed citations
15.
Buderman, Frances E., Mevin B. Hooten, Mathew W. Alldredge, Ephraim M. Hanks, & Jacob S. Ivan. (2018). Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars. Movement Ecology. 6(1). 22–22. 17 indexed citations
16.
17.
Olson, Lucretia E., et al.. (2018). Sharing the same slope: Behavioral responses of a threatened mesocarnivore to motorized and nonmotorized winter recreation. Ecology and Evolution. 8(16). 8555–8572. 20 indexed citations
18.
Gerber, Brian D., Jacob S. Ivan, & Kenneth P. Burnham. (2014). Estimating the abundance of rare and elusive carnivores from photographic‐sampling data when the population size is very small. Population Ecology. 56(3). 463–470. 36 indexed citations
19.
Trainor, Anne M., Oswald J. Schmitz, Jacob S. Ivan, & Tanya M. Shenk. (2013). Enhancing species distribution modeling by characterizing predator–prey interactions. Ecological Applications. 24(1). 204–216. 55 indexed citations
20.
Ivan, Jacob S., Gary C. White, & Tanya M. Shenk. (2012). Using auxiliary telemetry information to estimate animal density from capture–recapture data. Ecology. 94(4). 809–816. 33 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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