Alexander E. White

17 papers receiving 572 citations

Alexander E. White's Hit Papers

Deep learning as a tool for ecology and evolution 2022 · 155 citations
1550+1+2Years since publication50100150

Peers

Alexander E. White
Comparison fields: 5 of 97
  • Ecological Modeling 227
  • Nature and Landscape Conservation 150
  • Paleontology 63
  • Ecology 197
  • Ecology, Evolution, Behavior and Systematics 133
Replace Stan Blum with:
Stan Blum United States
Elita Baldridge United States
Julien Richard France
Carlos Anderson United States
Peter Desmet Belgium
Emilio García‐Roselló Spain
Brett Houlding Ireland
Daniel S. Caetano United States
Elizabeth A. Sandlin United States
Richard J. White United Kingdom
Alexander E. White relative to Stan Blum United States Stan Blum's profile →
Citations per field
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Stan Blum · 1×
Citations per year

Countries citing papers authored by Alexander E. White

Since Specialization
Citations

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

Fields of papers citing papers by Alexander E. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander E. White. 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 Alexander E. White. The network helps show where Alexander E. White may publish in the future.

Co-authors

The 25 scholars most cited alongside Alexander E. White, 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 Alexander E. White Line = papers co-authored together Alexander E. White links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Deep learning as a tool for ecology and evolution
Hit paper breakdown →
2022155
2 202082
3 202362
4 201953
5 201645
6 201644
7 201939
8 202037
9 202124
10 201923
11 20239
12 20217
13 20252
14 20232
15 20192
16 20191
17 20231
18 20260

About Alexander E. White

Alexander E. White is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Ecology, Ecology, Evolution, Behavior and Systematics and Molecular Biology, having authored 18 papers that have together received 588 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Plant and animal studies (4 papers), Animal Ecology and Behavior Studies (2 papers), Wildlife Ecology and Conservation (2 papers), Evolution and Paleontology Studies (2 papers), Isotope Analysis in Ecology (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Ecological Modeling (227 citations), Nature and Landscape Conservation (150 citations), Paleontology (63 citations), Ecology (197 citations) and Ecology, Evolution, Behavior and Systematics (133 citations). Alexander E. White has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Rebecca B. Dikow, Paul B. Frandsen, Trevor D. Price, Gabriele Valentini, Marek L. Borowiec, K. Supriya, Matthew Stephens, Kushal K. Dey, Stewart M. Edie and David Jablonski. Their work appears in journals such as Global Ecology and Biogeography, Proceedings of the Royal Society B Biological Sciences, The American Naturalist, Applications in Plant Sciences and PLoS ONE.

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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