Kevin Winner

16 papers receiving 465 citations

Peers

Kevin Winner
Comparison fields: 5 of 57
  • Ecological Modeling 186
  • Developmental Biology 32
  • Ecology 358
  • Nature and Landscape Conservation 81
  • Global and Planetary Change 103
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Nicolas Strebel Switzerland
Susan N. Ellis‐Felege United States
Casey Youngflesh United States
Ruth Y. Oliver United States
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Citations per year

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-authors

The 25 scholars most cited alongside Kevin Winner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin Winner Line = papers co-authored together Kevin Winner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 201877
3 201963
4 201560
5 201651
6 202142
7 202122
8 202310
9 20218
10 20198
11 20156
12 20095
13
Learning to interpret natural language instructions
20125
14 20214
15 20233
16
Inference in a Partially Observed Queuing Model with Applications in Ecology
20151
17 20240
18 20250
19 20250
20
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
20160

About Kevin Winner

Kevin Winner is a scholar working on Ecological Modeling, Ecology, Nature and Landscape Conservation, Artificial Intelligence and Global and Planetary Change, having authored 22 papers that have together received 471 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (13 papers), Wildlife Ecology and Conservation (10 papers), Ecology and Vegetation Dynamics Studies (6 papers), Avian ecology and behavior (4 papers), Statistical Methods and Bayesian Inference (2 papers), Climate variability and models (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Fire effects on ecosystems (2 papers). The work is most often cited by research in Ecological Modeling (186 citations), Developmental Biology (32 citations), Ecology (358 citations), Nature and Landscape Conservation (81 citations) and Global and Planetary Change (103 citations). Kevin Winner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Daniel Sheldon, Andrew Farnsworth, Wesley M. Hochachka, Frank A. La Sorte, Kyle G. Horton, Benjamin M. Van Doren, Tsung‐Yu Lin, Subhransu Maji, Walter Jetz and Steve Kelling. Their work appears in journals such as Methods in Ecology and Evolution, Ecography, Ecological Applications, Nature Climate Change and Proceedings of the Royal Society B Biological Sciences.

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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