Karen V. Noyce

3.9k total citations
18 papers, 601 citations indexed

About

Karen V. Noyce is a scholar working on Ecology, Ecological Modeling and Small Animals. According to data from OpenAlex, Karen V. Noyce has authored 18 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 4 papers in Ecological Modeling and 2 papers in Small Animals. Recurrent topics in Karen V. Noyce's work include Wildlife Ecology and Conservation (15 papers), Rangeland and Wildlife Management (5 papers) and Animal Ecology and Behavior Studies (4 papers). Karen V. Noyce is often cited by papers focused on Wildlife Ecology and Conservation (15 papers), Rangeland and Wildlife Management (5 papers) and Animal Ecology and Behavior Studies (4 papers). Karen V. Noyce collaborates with scholars based in United States, Portugal and Canada. Karen V. Noyce's co-authors include David L. Garshelis, John Fieberg, Michael R. Riggs, Mark A. Ditmer, Paul A. Iaizzo, Timothy G. Laske, Paul B. Conn, Kyle W. Shertzer, Véronique St‐Louis and James D. Forester and has published in prestigious journals such as PLoS ONE, Molecular Ecology and Journal of Wildlife Management.

In The Last Decade

Karen V. Noyce

18 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen V. Noyce United States 16 535 107 96 93 80 18 601
Benjamin T. Maletzke United States 13 484 0.9× 95 0.9× 80 0.8× 85 0.9× 49 0.6× 22 505
Kelly Marnewick South Africa 14 446 0.8× 100 0.9× 69 0.7× 134 1.4× 58 0.7× 31 537
Claudio Groff Italy 11 469 0.9× 121 1.1× 72 0.8× 180 1.9× 61 0.8× 22 530
Adrienne L. Contasti Canada 7 332 0.6× 73 0.7× 50 0.5× 60 0.6× 98 1.2× 9 397
Peter M. Haswell United Kingdom 7 453 0.8× 113 1.1× 103 1.1× 86 0.9× 61 0.8× 12 504
Stéphanie C. Schai‐Braun Austria 10 295 0.6× 74 0.7× 65 0.7× 37 0.4× 78 1.0× 20 346
Mark Weckel United States 11 310 0.6× 80 0.7× 57 0.6× 114 1.2× 39 0.5× 22 392
Raghunandan S. Chundawat India 7 407 0.8× 122 1.1× 61 0.6× 68 0.7× 79 1.0× 10 450
Mario Posillico Italy 14 371 0.7× 173 1.6× 35 0.4× 87 0.9× 96 1.2× 35 500
Anna Maria De Marinis Italy 10 296 0.6× 41 0.4× 56 0.6× 79 0.8× 58 0.7× 29 424

Countries citing papers authored by Karen V. Noyce

Since Specialization
Citations

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

Fields of papers citing papers by Karen V. Noyce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen V. Noyce. 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 Karen V. Noyce. The network helps show where Karen V. Noyce may publish in the future.

Co-authorship network of co-authors of Karen V. Noyce

This figure shows the co-authorship network connecting the top 25 collaborators of Karen V. Noyce. A scholar is included among the top collaborators of Karen V. Noyce 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 Karen V. Noyce. Karen V. Noyce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Garshelis, David L., Karen V. Noyce, & Véronique St‐Louis. (2020). Population reduction by hunting helps control human–wildlife conflicts for a species that is a conservation success story. PLoS ONE. 15(8). e0237274–e0237274. 26 indexed citations
2.
Horn, R, et al.. (2018). Phenotypic plasticity in the timing of reproduction in Andean bears. Journal of Zoology. 305(3). 196–202. 21 indexed citations
3.
Ditmer, Mark A., John Fieberg, Paul A. Iaizzo, et al.. (2018). American black bears perceive the risks of crossing roads. Behavioral Ecology. 29(3). 667–675. 37 indexed citations
4.
Ditmer, Mark A., Karen V. Noyce, John Fieberg, & David L. Garshelis. (2018). Delineating the ecological and geographic edge of an opportunist: The American black bear exploiting an agricultural landscape. Ecological Modelling. 387. 205–219. 18 indexed citations
5.
Ditmer, Mark A., John Fieberg, Paul A. Iaizzo, et al.. (2017). Data from: American black bears perceive the risks of crossing roads. Data Archiving and Networked Services (DANS). 1 indexed citations
6.
Ditmer, Mark A., et al.. (2015). Are American black bears in an agricultural landscape being sustained by crops?. Journal of Mammalogy. 97(1). 54–67. 40 indexed citations
7.
Ditmer, Mark A., David L. Garshelis, Karen V. Noyce, et al.. (2015). Behavioral and physiological responses of American black bears to landscape features within an agricultural region. Ecosphere. 6(3). 1–21. 41 indexed citations
8.
Noyce, Karen V. & David L. Garshelis. (2014). Follow the leader: social cues help guide landscape-level movements of American black bears (Ursus americanus). Canadian Journal of Zoology. 92(12). 1005–1017. 28 indexed citations
9.
Puckett, Emily E., Karen V. Noyce, David M. Leslie, et al.. (2014). Influence of drift and admixture on population structure of American black bears (Ursus americanus) in the Central Interior Highlands, USA, 50 years after translocation. Molecular Ecology. 23(10). 2414–2427. 36 indexed citations
10.
Noyce, Karen V. & David L. Garshelis. (2010). Seasonal migrations of black bears (Ursus americanus): causes and consequences. Behavioral Ecology and Sociobiology. 65(4). 823–835. 49 indexed citations
11.
Fieberg, John, Kyle W. Shertzer, Paul B. Conn, Karen V. Noyce, & David L. Garshelis. (2010). Integrated Population Modeling of Black Bears in Minnesota: Implications for Monitoring and Management. PLoS ONE. 5(8). e12114–e12114. 52 indexed citations
12.
Garshelis, David L. & Karen V. Noyce. (2007). Seeing the World through the Nose of a Bear — Diversity of Foods Fosters Behavioral and Demographic Stability. 151–176. 20 indexed citations
13.
Solá, Susana, David L. Garshelis, Joana D. Amaral, et al.. (2006). Plasma levels of ursodeoxycholic acid in black bears, Ursus americanus: Seasonal changes. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 143(2). 204–208. 16 indexed citations
14.
Garshelis, David L. & Karen V. Noyce. (2006). Discerning Biases in a Large Scale Mark–Recapture Population Estimate for Black Bears. Journal of Wildlife Management. 70(6). 1634–1643. 25 indexed citations
15.
Noyce, Karen V., et al.. (1997). Black bears as ant-eaters: seasonal associations between bear myrmecophagy and ant ecology in north-central Minnesota. Canadian Journal of Zoology. 75(10). 1671–1686. 71 indexed citations
16.
Noyce, Karen V. & David L. Garshelis. (1997). Influence of Natural Food Abundance on Black Bear Harvests in Minnesota. Journal of Wildlife Management. 61(4). 1067–1067. 73 indexed citations
17.
Noyce, Karen V., et al.. (1990). Abundance and Productivity of Bear Food Species in Different Forest Types of Northcentral Minnesota. Bears Their Biology and Management. 8. 169–169. 40 indexed citations
18.
Garshelis, David L., Karen V. Noyce, & Patrick D. Karns. (1987). Yohimbine as an Antagonist to Ketamine-Xylazine Immobilization in Black Bears. Bears Their Biology and Management. 7. 323–323. 7 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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