Tom Auer

1.5k total citations · 1 hit paper
19 papers, 685 citations indexed

About

Tom Auer is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Tom Auer has authored 19 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 12 papers in Ecological Modeling and 7 papers in Nature and Landscape Conservation. Recurrent topics in Tom Auer's work include Species Distribution and Climate Change (12 papers), Wildlife Ecology and Conservation (8 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Tom Auer is often cited by papers focused on Species Distribution and Climate Change (12 papers), Wildlife Ecology and Conservation (8 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Tom Auer collaborates with scholars based in United States, United Kingdom and Austria. Tom Auer's co-authors include Daniel Fink, Alison Johnston, Wesley M. Hochachka, Steve Kelling, Viviana Ruiz‐Gutiérrez, Matthew Strimas‐Mackey, Orin J. Robinson, Eliot T. Miller, Amanda D. Rodewald and Peter Arcese and has published in prestigious journals such as Science, Nature Communications and Ecological Applications.

In The Last Decade

Tom Auer

16 papers receiving 659 citations

Hit Papers

Analytical guidelines to increase the value of community ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Auer United States 13 400 309 198 121 111 19 685
John D. Rothlisberger United States 14 402 1.0× 55 0.2× 310 1.6× 162 1.3× 64 0.6× 21 599
Yegang Wu United States 11 428 1.1× 49 0.2× 207 1.0× 242 2.0× 41 0.4× 21 700
Christine Laney United States 8 355 0.9× 196 0.6× 286 1.4× 448 3.7× 38 0.3× 15 814
David F. Staples United States 14 577 1.4× 149 0.5× 525 2.7× 266 2.2× 55 0.5× 45 938
Kate J. Helmstedt Australia 14 312 0.8× 67 0.2× 116 0.6× 277 2.3× 23 0.2× 39 579
Aaron S. Ruesch United States 8 421 1.1× 183 0.6× 433 2.2× 209 1.7× 87 0.8× 8 737
Clive A. Walmsley United Kingdom 10 169 0.4× 167 0.5× 184 0.9× 101 0.8× 27 0.2× 13 503
Lina Koyama Japan 13 252 0.6× 40 0.1× 87 0.4× 221 1.8× 46 0.4× 24 573
Ned Gardiner United States 6 730 1.8× 426 1.4× 313 1.6× 403 3.3× 9 0.1× 6 1.1k
Bijan Seyednasrollah United States 14 549 1.4× 315 1.0× 219 1.1× 560 4.6× 17 0.2× 29 995

Countries citing papers authored by Tom Auer

Since Specialization
Citations

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

Fields of papers citing papers by Tom Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Auer. 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 Tom Auer. The network helps show where Tom Auer may publish in the future.

Co-authorship network of co-authors of Tom Auer

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

All Works

19 of 19 papers shown
1.
Stillman, Andrew N., Courtney L. Davis, Viviana Ruiz‐Gutiérrez, et al.. (2025). A Framework for Assessing the Habitat Correlates of Spatially Explicit Population Trends. Diversity and Distributions. 31(5).
2.
Johnston, Alison, Amanda D. Rodewald, Matthew Strimas‐Mackey, et al.. (2025). North American bird declines are greatest where species are most abundant. Science. 388(6746). 532–537. 9 indexed citations
3.
Stillman, Andrew N., Gavin M. Jones, Matthew Strimas‐Mackey, et al.. (2025). Evaluating macroecological fire impacts on bird populations. Frontiers in Ecology and the Environment. 23(9).
4.
Fink, Daniel, Alison Johnston, Matthew Strimas‐Mackey, et al.. (2023). A Double machine learning trend model for citizen science data. Methods in Ecology and Evolution. 14(9). 2435–2448. 29 indexed citations
5.
Sorte, Frank A. La, Kyle G. Horton, Alison Johnston, Daniel Fink, & Tom Auer. (2022). Seasonal associations with light pollution trends for nocturnally migrating bird populations. Ecosphere. 13(3). 13 indexed citations
6.
Sorte, Frank A. La, Alison Johnston, Amanda D. Rodewald, et al.. (2022). The role of artificial light at night and road density in predicting the seasonal occurrence of nocturnally migrating birds. Diversity and Distributions. 28(5). 992–1009. 13 indexed citations
7.
Ng, Wee Hao, Daniel Fink, Frank A. La Sorte, et al.. (2022). Continental‐scale biomass redistribution by migratory birds in response to seasonal variation in productivity. Global Ecology and Biogeography. 31(4). 727–739. 14 indexed citations
8.
Johnston, Alison, Wesley M. Hochachka, Matthew Strimas‐Mackey, et al.. (2021). Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions. Diversity and Distributions. 27(7). 1265–1277. 181 indexed citations breakdown →
9.
Schuetz, Justin G., Matthew Strimas‐Mackey, & Tom Auer. (2020). colorist : An r package for colouring wildlife distributions in space–time. Methods in Ecology and Evolution. 11(11). 1476–1482. 1 indexed citations
10.
Strimas‐Mackey, Matthew, et al.. (2020). Access and Analyze eBird Status and Trends Data [R package ebirdst version 0.2.1]. 1 indexed citations
11.
Johnston, Alison, Tom Auer, Daniel Fink, et al.. (2019). Comparing abundance distributions and range maps in spatial conservation planning for migratory species. Ecological Applications. 30(3). 24 indexed citations
12.
Schuster, Richard, Scott Wilson, Amanda D. Rodewald, et al.. (2019). Optimizing the conservation of migratory species over their full annual cycle. Nature Communications. 10(1). 1754–1754. 61 indexed citations
13.
Fink, Daniel, Tom Auer, Alison Johnston, et al.. (2019). Modeling avian full annual cycle distribution and population trends with citizen science data. Ecological Applications. 30(3). e02056–e02056. 147 indexed citations
14.
Auer, Tom, Candan U. Soykan, Chad B. Wilsey, et al.. (2017). Climate-based prioritization of data collection for monitoring wintering birds in Latin America. Bird Conservation International. 27(4). 512–524.
15.
Schuetz, Justin G., et al.. (2015). Making spatial prioritizations robust to climate change uncertainties: a case study with North American birds. Ecological Applications. 25(7). 1819–1831. 19 indexed citations
16.
Auer, Martin, Nancy A. Auer, Noel R. Urban, & Tom Auer. (2013). Distribution of the Amphipod Diporeia in Lake Superior: The Ring of Fire. Journal of Great Lakes Research. 39(1). 33–46. 30 indexed citations
17.
Auer, Tom, et al.. (2010). HerbariaViz: A web-based client–server interface for mapping and exploring flora observation data. Ecological Informatics. 6(2). 93–110. 16 indexed citations
18.
Auer, Tom, et al.. (1995). Phosphorus diagenesis in lake sediments: investigations using fractionation techniques. Marine and Freshwater Research. 46(1). 89–99. 114 indexed citations
19.
Ennemoser, O., et al.. (1994). High Indoor Radon Concentrations in an Alpine Region of Western Tyrol. Health Physics. 67(2). 151–154. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026