Ann M. Lynch

1.9k total citations
40 papers, 1.1k citations indexed

About

Ann M. Lynch is a scholar working on Global and Planetary Change, Ecology and Insect Science. According to data from OpenAlex, Ann M. Lynch has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 21 papers in Ecology and 19 papers in Insect Science. Recurrent topics in Ann M. Lynch's work include Fire effects on ecosystems (19 papers), Forest Insect Ecology and Management (16 papers) and Forest Ecology and Biodiversity Studies (13 papers). Ann M. Lynch is often cited by papers focused on Fire effects on ecosystems (19 papers), Forest Insect Ecology and Management (16 papers) and Forest Ecology and Biodiversity Studies (13 papers). Ann M. Lynch collaborates with scholars based in United States, Ireland and United Kingdom. Ann M. Lynch's co-authors include Thomas W. Swetnam, Christopher D. O’Connor, Donald A. Falk, Gary W. Fowler, Daniel Ryerson, John L. Koprowski, Christopher H. Guiterman, Stefan Klesse, Margaret E. K. Evans and John D. Shaw and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Ann M. Lynch

37 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann M. Lynch United States 16 705 462 445 328 203 40 1.1k
Caroline Heiri Switzerland 13 564 0.8× 184 0.4× 621 1.4× 259 0.8× 262 1.3× 28 1.0k
Elizabeth M. Campbell Canada 15 579 0.8× 380 0.8× 369 0.8× 189 0.6× 137 0.7× 28 859
James M. Dyer United States 15 660 0.9× 290 0.6× 640 1.4× 329 1.0× 136 0.7× 25 1.0k
Giovanni Caudullo Italy 13 318 0.5× 241 0.5× 331 0.7× 191 0.6× 141 0.7× 23 794
Rosina Soler Argentina 18 410 0.6× 313 0.7× 457 1.0× 95 0.3× 197 1.0× 65 878
Otso Suominen Finland 13 199 0.3× 569 1.2× 465 1.0× 356 1.1× 131 0.6× 23 1.0k
Luciana Ghermandi Argentina 21 649 0.9× 453 1.0× 758 1.7× 205 0.6× 80 0.4× 61 1.3k
F. Romane France 16 451 0.6× 232 0.5× 598 1.3× 229 0.7× 110 0.5× 48 1.1k
Martín A. Spetich United States 20 747 1.1× 396 0.9× 715 1.6× 173 0.5× 311 1.5× 68 1.2k
Csaba Mátýas Hungary 15 637 0.9× 284 0.6× 728 1.6× 422 1.3× 82 0.4× 24 1.3k

Countries citing papers authored by Ann M. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann M. Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Ann M. Lynch. A scholar is included among the top collaborators of Ann M. Lynch 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 Ann M. Lynch. Ann M. Lynch 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.
Cassidy, Lara M., Ros Ó Maoldúin, Thomas Kador, et al.. (2020). A dynastic elite in monumental Neolithic society. Nature. 582(7812). 384–388. 81 indexed citations
2.
3.
Klesse, Stefan, R. Justin DeRose, Christopher H. Guiterman, et al.. (2018). Sampling bias overestimates climate change impacts on forest growth in the southwestern United States. Nature Communications. 9(1). 5336–5336. 98 indexed citations
4.
Lynch, Ann M., Gary W. Fowler, & John A. Witter. (2017). Development of Empirical Models to Rate Spruce-Fir Stands in Michigan's Upper Peninsula for Hazard From the Spruce Budworm (Lepidoptera: Tortricidae): A Case History. The Great Lakes Entomologist. 17(3). 1 indexed citations
5.
Lynch, Ann M., et al.. (2017). Impact of the Spruce Budworm (Lepidoptera: Tortricidae) on the Ottawa and Hiawatha National Forests, 1978-1980. The Great Lakes Entomologist. 15(1). 1 indexed citations
6.
Fowler, Gary W. & Ann M. Lynch. (2017). Bibliography of Sequential Sampling Plans in Insect Pest Management Based on Wald's Sequential Probability Ratio Test. The Great Lakes Entomologist. 20(3). 1 indexed citations
7.
Swetnam, Tyson L., Christopher D. O’Connor, & Ann M. Lynch. (2016). Tree Morphologic Plasticity Explains Deviation from Metabolic Scaling Theory in Semi-Arid Conifer Forests, Southwestern USA. PLoS ONE. 11(7). e0157582–e0157582. 6 indexed citations
8.
O’Connor, Christopher D., Donald A. Falk, Ann M. Lynch, & Thomas W. Swetnam. (2014). Fire severity, size, and climate associations diverge from historical precedent along an ecological gradient in the Pinaleño Mountains, Arizona, USA. Forest Ecology and Management. 329. 264–278. 109 indexed citations
9.
Negrón, José F., Barbara Bentz, Christopher J. Fettig, et al.. (2008). US Forest Service Bark Beetle Research in the Western United States: Looking Toward the Future. Journal of Forestry. 106(6). 325–331. 24 indexed citations
10.
Koprowski, John L., et al.. (2005). Nowhere to run and nowhere to hide: Response of endemic Mt. Graham red squirrels to catastrophic forest damage. Biological Conservation. 126(4). 491–498. 52 indexed citations
11.
Lynch, Ann M.. (2004). Fate and characteristics of Picea damaged by Elatobium abietinum (Walker) (Homoptera: Aphididae) in the White Mountains of Arizona. Western North American Naturalist. 64(1). 7–17. 19 indexed citations
12.
Swetnam, Thomas W. & Ann M. Lynch. (1993). Multicentury, Regional‐Scale Patterns of Western Spruce Budworm Outbreaks. Ecological Monographs. 63(4). 399–424. 264 indexed citations
13.
Lynch, Ann M. & Mark J. Twery. (1992). Forest visual resources and pest management: potential applications of visualization technology. Landscape and Urban Planning. 21(4). 319–321. 4 indexed citations
14.
Lynch, Ann M., et al.. (1990). Benefit-cost analysis of fuelwood management using native alder in Ecuador. Agroforestry Systems. 11(2). 125–139. 8 indexed citations
15.
Swetnam, Thomas W. & Ann M. Lynch. (1989). A Tree-Ring Reconstruction of Western Spruce Budworm History in the Southern Rocky Mountains. Forest Science. 35(4). 962–986. 98 indexed citations
16.
Lynch, Ann M. & J. Bassett. (1987). Oak Stump Sprouting on Dry Sites in Northern Lower Michigan. Northern Journal of Applied Forestry. 4(3). 142–145. 15 indexed citations
17.
Fowler, Gary W. & Ann M. Lynch. (1987). Sampling Plans in Insect Pest Management Based on Wald's Sequential Probability Ratio Test. Environmental Entomology. 16(2). 345–354. 55 indexed citations
18.
Lynch, Ann M.. (1984). Development of a System to Rate Spruce-Fir Stands in Michigan's Upper Peninsula for Hazard from the Spruce Budworm.. Deep Blue (University of Michigan). 2 indexed citations
19.
Lynch, Ann M. & Roy L. Hedden. (1984). Relation between Early- and Late-Season Loblolly Pine Seedling Mortality from Pales and Pitcheating Weevil Attack in Southeast Oklahoma¹. Southern Journal of Applied Forestry. 8(3). 172–176. 2 indexed citations
20.
Witter, John A., et al.. (1983). Management Implications of Interactions between the Spruce Budworm and Spruce-Fir Stands. 85. 127–132. 1 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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