Kathryn M. Miller

1.0k total citations · 1 hit paper
17 papers, 747 citations indexed

About

Kathryn M. Miller is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kathryn M. Miller has authored 17 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 7 papers in Global and Planetary Change and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kathryn M. Miller's work include Ecology and Vegetation Dynamics Studies (10 papers), Fire effects on ecosystems (6 papers) and Forest Management and Policy (4 papers). Kathryn M. Miller is often cited by papers focused on Ecology and Vegetation Dynamics Studies (10 papers), Fire effects on ecosystems (6 papers) and Forest Management and Policy (4 papers). Kathryn M. Miller collaborates with scholars based in United States. Kathryn M. Miller's co-authors include B. R. Mitchell, Amanda Little, E. William Schweiger, James B. Grace, Donald R. Schoolmaster, Glenn R. Guntenspergen, Brian J. McGill, Howard J. Curtis, Nicholas A. Fisichelli and Robert G. Wagner and has published in prestigious journals such as Journal of Applied Ecology, Ecological Applications and Forest Ecology and Management.

In The Last Decade

Kathryn M. Miller

16 papers receiving 734 citations

Hit Papers

Guidelines for a graph‐theoretic implementation of struct... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathryn M. Miller United States 12 330 321 257 130 111 17 747
Alix I. Gitelman United States 11 282 0.9× 333 1.0× 316 1.2× 122 0.9× 91 0.8× 30 827
E. William Schweiger United States 14 374 1.1× 512 1.6× 233 0.9× 119 0.9× 92 0.8× 21 919
Case M. Prager United States 14 278 0.8× 380 1.2× 296 1.2× 120 0.9× 104 0.9× 21 822
Andrew Skowno South Africa 18 426 1.3× 491 1.5× 512 2.0× 90 0.7× 121 1.1× 41 1.0k
William L. Steffen Australia 11 246 0.7× 208 0.6× 278 1.1× 111 0.9× 81 0.7× 22 580
Francis Isselin‐Nondedeu France 16 221 0.7× 495 1.5× 331 1.3× 106 0.8× 127 1.1× 38 818
Edward A. Martinko United States 12 261 0.8× 508 1.6× 355 1.4× 122 0.9× 75 0.7× 23 870
P.A. Slim Netherlands 17 345 1.0× 463 1.4× 175 0.7× 115 0.9× 64 0.6× 60 824
Amber Pairis United States 3 204 0.6× 255 0.8× 332 1.3× 90 0.7× 192 1.7× 3 676
Deborah A. Procter United Kingdom 3 441 1.3× 401 1.2× 476 1.9× 205 1.6× 184 1.7× 3 1.0k

Countries citing papers authored by Kathryn M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn M. Miller

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

All Works

17 of 17 papers shown
1.
Miller, Kathryn M., John Paul Schmit, Aaron S. Weed, et al.. (2023). Overabundant deer and invasive plants drive widespread regeneration debt in eastern United States national parks. Ecological Applications. 33(4). e2837–e2837. 15 indexed citations
2.
Doser, Jeffrey W., Aaron S. Weed, Elise F. Zipkin, Kathryn M. Miller, & Andrew O. Finley. (2020). Trends in bird abundance differ among protected forests but not bird guilds. arXiv (Cornell University). 4 indexed citations
3.
Miller, Kathryn M., et al.. (2020). Long‐term trends indicate that invasive plants are pervasive and increasing in eastern national parks. Ecological Applications. 31(2). e02239–e02239. 18 indexed citations
4.
Miller, Kathryn M. & Brian J. McGill. (2019). Compounding human stressors cause major regeneration debt in over half of eastern US forests. Journal of Applied Ecology. 56(6). 1355–1366. 47 indexed citations
5.
Miller, Kathryn M., et al.. (2018). Eastern national parks protect greater tree species diversity than unprotected matrix forests. Forest Ecology and Management. 414. 74–84. 15 indexed citations
6.
Miller, Kathryn M. & Brian J. McGill. (2017). Land use and life history limit migration capacity of eastern tree species. Global Ecology and Biogeography. 27(1). 57–67. 43 indexed citations
7.
Fisichelli, Nicholas A. & Kathryn M. Miller. (2017). Weeds, worms, and deer: positive relationships among common forest understory stressors. Biological Invasions. 20(5). 1337–1348. 18 indexed citations
8.
Miller, Kathryn M., Jillian Campbell, James A. Comiskey, et al.. (2016). National parks in the easternUnitedStates harbor important older forest structure compared with matrix forests. Ecosphere. 7(7). 20 indexed citations
9.
Miller, Kathryn M., B. R. Mitchell, & Brian J. McGill. (2016). Constructing multimetric indices and testing ability of landscape metrics to assess condition of freshwater wetlands in the Northeastern US. Ecological Indicators. 66. 143–152. 30 indexed citations
10.
Miller, Kathryn M. & B. R. Mitchell. (2014). A new tool for power analysis of fixed plot data: Using simulations and mixed effects models to evaluate forest metrics. Ecosphere. 5(9). 1–23. 3 indexed citations
11.
Grace, James B., Donald R. Schoolmaster, Glenn R. Guntenspergen, et al.. (2012). Guidelines for a graph‐theoretic implementation of structural equation modeling. Ecosphere. 3(8). 1–44. 456 indexed citations breakdown →
12.
Schoolmaster, Donald R., James B. Grace, E. William Schweiger, et al.. (2012). An algorithmic and information-theoretic approach to multimetric index construction. Ecological Indicators. 26. 14–23. 26 indexed citations
13.
Miller, Kathryn M., Robert G. Wagner, & Stephen A. Woods. (2008). Arboreal Arthropod Associations with Epiphytes Following Gap Harvesting in The Acadian Forest of Maine. The Bryologist. 111(3). 424–434. 9 indexed citations
14.
Miller, Kathryn M., Robert G. Wagner, & Stephen A. Woods. (2007). Effect of gap harvesting on epiphytes and bark-dwelling arthropods in the Acadian forest of central Maine. Canadian Journal of Forest Research. 37(11). 2175–2187. 14 indexed citations
15.
Miller, Kathryn M.. (2006). Arboreal Arthropod Associations with Epiphytes and the Effects of Gap Harvesting in the Acadian Forest of Central Maine. DigitalCommons (California Polytechnic State University). 2 indexed citations
16.
Miller, Kathryn M.. (1990). Two-phase stratified flow regime transition analysis for low gravity conditions. OakTrust (Texas A&M University Libraries). 1 indexed citations
17.
Curtis, Howard J. & Kathryn M. Miller. (1971). Chromosome Aberrations in Liver Cells of Guinea Pigs. Journal of Gerontology. 26(3). 292–293. 26 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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