Kevin Winner

745 total citations
22 papers, 471 citations indexed

About

Kevin Winner is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Kevin Winner has authored 22 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecological Modeling, 12 papers in Ecology and 6 papers in Nature and Landscape Conservation. Recurrent topics in Kevin Winner's work include Species Distribution and Climate Change (13 papers), Wildlife Ecology and Conservation (10 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Kevin Winner is often cited by papers focused on Species Distribution and Climate Change (13 papers), Wildlife Ecology and Conservation (10 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Kevin Winner collaborates with scholars based in United States, Germany and United Kingdom. Kevin Winner's co-authors include Daniel Sheldon, Andrew Farnsworth, Wesley M. Hochachka, Frank A. La Sorte, Kyle G. Horton, Benjamin M. Van Doren, Subhransu Maji, Tsung‐Yu Lin, Walter Jetz and Steve Kelling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Trends in Ecology & Evolution and PLoS Biology.

In The Last Decade

Kevin Winner

16 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Winner United States 9 358 186 103 88 81 22 471
Nicolas Strebel Switzerland 8 306 0.9× 199 1.1× 77 0.7× 117 1.3× 140 1.7× 12 508
Susan N. Ellis‐Felege United States 14 458 1.3× 97 0.5× 82 0.8× 122 1.4× 94 1.2× 48 593
Casey Youngflesh United States 12 452 1.3× 215 1.2× 136 1.3× 145 1.6× 144 1.8× 25 616
Ruth Y. Oliver United States 8 210 0.6× 125 0.7× 55 0.5× 44 0.5× 48 0.6× 14 311
Yves Aubry Canada 12 656 1.8× 162 0.9× 104 1.0× 140 1.6× 112 1.4× 23 809
Samuel Haché Canada 18 407 1.1× 160 0.9× 155 1.5× 62 0.7× 194 2.4× 36 552
John H. Wilshire Australia 8 309 0.9× 184 1.0× 197 1.9× 95 1.1× 134 1.7× 10 520
Casey L. Brown United States 8 356 1.0× 63 0.3× 52 0.5× 56 0.6× 67 0.8× 18 450
Lex Hiby United Kingdom 13 479 1.3× 89 0.5× 127 1.2× 71 0.8× 100 1.2× 20 568
Josée S. Rousseau United States 9 250 0.7× 151 0.8× 156 1.5× 86 1.0× 175 2.2× 12 416

Countries citing papers authored by Kevin Winner

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Winner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Winner

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Winner. A scholar is included among the top collaborators of Kevin Winner 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 Kevin Winner. Kevin Winner 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.
Kellenberger, Benjamin, Kevin Winner, & W. Jetz. (2026). The Performance and Potential of Deep Learning for Predicting Species Distributions. Global Ecology and Biogeography. 35(1).
2.
Sharma, Shubhi, Kevin Winner, Laura J. Pollock, et al.. (2025). No species left behind: borrowing strength to map data-deficient species. Trends in Ecology & Evolution. 40(7). 699–711.
3.
Winner, Kevin, et al.. (2025). A theoretical framework for scaling ecological niches from individuals to species. Proceedings of the National Academy of Sciences. 122(35). e2425582122–e2425582122.
4.
Sharma, Shubhi, et al.. (2024). Measuring the evolution of n ‐dimensional environmental niches. Ecography. 2025(3).
5.
Gábor, Lukáš, Walter Jetz, Alejandra Zarzo‐Arias, et al.. (2023). Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable. Ecography. 2023(6). 10 indexed citations
6.
Pinkert, Stefan, Yanina V. Sica, Kevin Winner, & Walter Jetz. (2023). The potential of ecoregional range maps for boosting taxonomic coverage in ecology and conservation. Ecography. 2023(12). 3 indexed citations
7.
Winner, Kevin, et al.. (2021). A unifying framework for quantifying and comparing n‐dimensional hypervolumes. Methods in Ecology and Evolution. 12(10). 1953–1968. 22 indexed citations
8.
Sheldon, Daniel, et al.. (2021). A weather surveillance radar view of Alaskan avian migration. Proceedings of the Royal Society B Biological Sciences. 288(1950). 20210232–20210232. 8 indexed citations
9.
Oliver, Ruth Y., Carsten Meyer, Ajay Ranipeta, Kevin Winner, & Walter Jetz. (2021). Global and national trends, gaps, and opportunities in documenting and monitoring species distributions. PLoS Biology. 19(8). e3001336–e3001336. 42 indexed citations
10.
Beery, Sara, Elijah Cole, Joseph Parker, Pietro Perona, & Kevin Winner. (2021). Species Distribution Modeling for Machine Learning Practitioners: A Review. arXiv (Cornell University). 329–348. 4 indexed citations
11.
Horton, Kyle G., Frank A. La Sorte, Daniel Sheldon, et al.. (2019). Phenology of nocturnal avian migration has shifted at the continental scale. Nature Climate Change. 10(1). 63–68. 106 indexed citations
12.
Lin, Tsung‐Yu, Kevin Winner, Adriaan M. Dokter, et al.. (2019). MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks. Methods in Ecology and Evolution. 10(11). 1908–1922. 63 indexed citations
13.
Nilsson, Cecilia, Tsung‐Yu Lin, Kevin Winner, et al.. (2019). Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation. Biology Letters. 15(9). 20190383–20190383. 8 indexed citations
14.
Winner, Kevin, Michael Noonan, Christen H. Fleming, et al.. (2018). Statistical inference for home range overlap. Methods in Ecology and Evolution. 9(7). 1679–1691. 77 indexed citations
15.
Winner, Kevin, et al.. (2017). Exact Inference for Integer Latent-Variable Models. International Conference on Machine Learning. 3761–3770.
16.
Winner, Kevin & Daniel Sheldon. (2016). Probabilistic Inference with Generating Functions for Poisson Latent Variable Models. Neural Information Processing Systems. 29. 2640–2648.
17.
Farnsworth, Andrew, Benjamin M. Van Doren, Wesley M. Hochachka, et al.. (2016). A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeasternUSA. Ecological Applications. 26(3). 752–770. 51 indexed citations
18.
Winner, Kevin, et al.. (2015). Inference in a Partially Observed Queuing Model with Applications in Ecology. International Conference on Machine Learning. 2512–2520. 1 indexed citations
19.
Sorte, Frank A. La, Wesley M. Hochachka, Andrew Farnsworth, et al.. (2015). Migration timing and its determinants for nocturnal migratory birds during autumn migration. Journal of Animal Ecology. 84(5). 1202–1212. 60 indexed citations
20.
Farnsworth, Andrew, Benjamin M. Van Doren, Wesley M. Hochachka, et al.. (2015). A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern US. Ecological Applications. 492051073–492051073. 6 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

Breakdown of academic impact, for papers by Nicolas Strebel Breakdown of academic impact, for papers by Susan N. Ellis‐Felege Breakdown of academic impact, for papers by Casey Youngflesh Breakdown of academic impact, for papers by Ruth Y. Oliver Breakdown of academic impact, for papers by Yves Aubry Breakdown of academic impact, for papers by Samuel Haché Breakdown of academic impact, for papers by John H. Wilshire Breakdown of academic impact, for papers by Casey L. Brown Breakdown of academic impact, for papers by Lex Hiby Breakdown of academic impact, for papers by Josée S. Rousseau
Rankless by CCL
2026