David N. Koons

4.1k total citations
107 papers, 2.9k citations indexed

About

David N. Koons is a scholar working on Ecology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David N. Koons has authored 107 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Ecology, 30 papers in Nature and Landscape Conservation and 23 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David N. Koons's work include Avian ecology and behavior (49 papers), Wildlife Ecology and Conservation (48 papers) and Rangeland and Wildlife Management (23 papers). David N. Koons is often cited by papers focused on Avian ecology and behavior (49 papers), Wildlife Ecology and Conservation (48 papers) and Rangeland and Wildlife Management (23 papers). David N. Koons collaborates with scholars based in United States, Canada and Germany. David N. Koons's co-authors include Robert F. Rockwell, Jay J. Rotella, Lise M. Aubry, James B. Grand, Michael Schaub, C. Jessica E. Metcalf, David W. Willey, Harmony J. Dalgleish, Scott E. Stephens and Peter B. Adler and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

David N. Koons

103 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David N. Koons United States 32 2.2k 1.0k 677 630 574 107 2.9k
Mark S. Lindberg United States 35 2.6k 1.2× 796 0.8× 625 0.9× 592 0.9× 350 0.6× 91 3.0k
Geoff M. Hilton United Kingdom 34 2.9k 1.3× 863 0.8× 867 1.3× 583 0.9× 667 1.2× 121 3.5k
Silke Bauer Switzerland 32 2.8k 1.2× 830 0.8× 1.0k 1.5× 561 0.9× 1.0k 1.8× 78 3.6k
Katie M. Dugger United States 26 2.5k 1.1× 664 0.6× 465 0.7× 757 1.2× 705 1.2× 91 2.8k
Hannu Pöysä Finland 35 3.2k 1.4× 1.1k 1.1× 1.1k 1.6× 418 0.7× 617 1.1× 157 3.7k
Alan D. Afton United States 35 3.5k 1.6× 1.2k 1.2× 913 1.3× 481 0.8× 408 0.7× 112 4.0k
Wayne E. Thogmartin United States 34 2.0k 0.9× 995 1.0× 1.1k 1.7× 947 1.5× 1.3k 2.3× 159 3.6k
John M. Eadie United States 36 2.7k 1.2× 1.2k 1.2× 1.3k 2.0× 586 0.9× 435 0.8× 118 3.7k
Giuseppe Bogliani Italy 32 1.8k 0.8× 951 0.9× 784 1.2× 513 0.8× 708 1.2× 105 2.6k
Mike S. Fowler United Kingdom 23 1.4k 0.6× 777 0.8× 655 1.0× 629 1.0× 315 0.5× 53 2.4k

Countries citing papers authored by David N. Koons

Since Specialization
Citations

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

Fields of papers citing papers by David N. Koons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Koons. 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 David N. Koons. The network helps show where David N. Koons may publish in the future.

Co-authorship network of co-authors of David N. Koons

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Koons. A scholar is included among the top collaborators of David N. Koons 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 David N. Koons. David N. Koons 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.
Overton, Cory T., Michael L. Casazza, Frances E. Buderman, et al.. (2024). Can waterfowl buffer the mortality risk induced by GPS tags? A cautionary tale for applied inference across species. Animal Biotelemetry. 12(1). 1 indexed citations
2.
Dobson, F. Stephen, et al.. (2024). The Demographic Basis of Population Growth: A 32‐Year Transient Life Table Response Experiment. Ecology Letters. 27(12). e14512–e14512. 2 indexed citations
3.
Koons, David N., et al.. (2024). Riding the wetland wave: Can ducks locate macroinvertebrate resources across the breeding season?. Ecology and Evolution. 14(6). e11568–e11568. 3 indexed citations
4.
Dyck, Markus, Jasmine V. Ware, Andrew E. Derocher, et al.. (2024). A demographic survey of the Davis Strait polar bear subpopulation using physical and genetic capture‐recapture‐recovery sampling. Marine Mammal Science. 40(3). 2 indexed citations
5.
Buderman, Frances E., James H. Devries, & David N. Koons. (2023). A life‐history spectrum of population responses to simultaneous change in climate and land use. Journal of Animal Ecology. 92(6). 1267–1284. 4 indexed citations
6.
Gibson, Daniel, Thomas V. Riecke, Daniel H. Catlin, et al.. (2022). Climate change and commercial fishing practices codetermine survival of a long‐lived seabird. Global Change Biology. 29(2). 324–340. 9 indexed citations
7.
Riecke, Thomas V., Todd W. Arnold, David N. Koons, et al.. (2022). Density‐dependence produces spurious relationships among demographic parameters in a harvested species. Journal of Animal Ecology. 91(11). 2261–2272. 9 indexed citations
8.
9.
Riecke, Thomas V., Todd W. Arnold, Daniel Gibson, et al.. (2022). A hierarchical model for jointly assessing ecological and anthropogenic impacts on animal demography. Journal of Animal Ecology. 91(8). 1612–1626. 14 indexed citations
10.
Koons, David N., Thomas V. Riecke, G. Scott Boomer, et al.. (2022). A niche for null models in adaptive resource management. Ecology and Evolution. 12(1). e8541–e8541. 4 indexed citations
11.
12.
Falvo, Caylee, David N. Koons, & Lise M. Aubry. (2019). Seasonal climate effects on the survival of a hibernating mammal. Ecology and Evolution. 9(7). 3756–3769. 14 indexed citations
13.
Rotella, Jay J., et al.. (2016). Harvest and Non-Harvest Mortality Relationships for Lesser Scaup Breeding in Southwestern Montana. 22(4). 101–102. 1 indexed citations
14.
Koons, David N., David T. Iles, Michael Schaub, & Hal Caswell. (2016). A life‐history perspective on the demographic drivers of structured population dynamics in changing environments. Ecology Letters. 19(9). 1023–1031. 92 indexed citations
15.
Koons, David N., et al.. (2016). Factors affecting conspecific brood parasitism in Wood Ducks Aix sponsa of the intermountain region of western North America. Wildfowl (Wildfowl & Wetlands Trust). 66(66). 186–196. 1 indexed citations
16.
Koons, David N., et al.. (2015). Combined Effects of Climate, Predation, and Density Dependence on Scaup Population Dynamics. Ecological Applications. 4 indexed citations
17.
Koons, David N., Gunnar Gunnarsson, Joel A. Schmutz, & Jay J. Rotella. (2014). Drivers of waterfowl population dynamics: from teal to swans. Wildfowl (Wildfowl & Wetlands Trust). 2014. 169–191. 39 indexed citations
18.
Allington, Ginger, David N. Koons, S. K. Morgan Ernest, Michele R. Schutzenhofer, & Thomas J. Valone. (2012). Niche opportunities and invasion dynamics in a desert annual community. Ecology Letters. 16(2). 158–166. 42 indexed citations
19.
Rockwell, Robert F., David N. Koons, & Lise M. Aubry. (2010). Metapopulation dynamics of midcontinentlesser snow geese: implications for management. Human-wildlife interactions. 4(2). 170–191. 6 indexed citations
20.
Koons, David N., et al.. (2009). The effectof body size on cottonmouth (Agkistrodon piscivorus) survival, recapture probability, andbehavior in an Alabama swamp. Herpetological conservation and biology. 4(2). 221. 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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