Alex L. Pigot
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change 21
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- Ecology and Vegetation Dynamics Studies 29
- Paleontology top 2%
- Evolution and Paleontology Studies 10
- Ecology top 1%
- Wildlife Ecology and Conservation 7
- Animal Ecology and Behavior Studies 6
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- Plant and animal studies 12
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- Ecosystem dynamics and resilience 4
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- Genetic diversity and population structure 4
- Co-authors
- Joseph A. TobiasChristopher H. TrisosCory MerowC. David L. OrmeIan P. F. OwensAlbert B. PhillimoreRampal S. EtienneCatherine Sheard
- Journals
- Nature (3 papers)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Alex L. Pigot
40 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Ecological Modeling 881
- Nature and Landscape Conservation 1.1k
- Paleontology 440
- Ecology 1.2k
- Ecology, Evolution, Behavior and Systematics 803
Countries citing papers authored by Alex L. Pigot
This map shows the geographic impact of Alex L. Pigot'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 Alex L. Pigot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex L. Pigot more than expected).
Fields of papers citing papers by Alex L. Pigot
This network shows the impact of papers produced by Alex L. Pigot. 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 Alex L. Pigot. The network helps show where Alex L. Pigot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex L. Pigot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 52 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 64 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 36 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 29 | |
| 14 | The projected timing of abrupt ecological disruption from climate changebreakdown → | 2020 | 465 |
| 15 | Macroevolutionary convergence connects morphological form to ecological function in birdsbreakdown → | 2020 | 333 |
| 16 | 2019 | 69 | |
| 17 | 2018 | 42 | |
| 18 | 2017 | 6 | |
| 19 | 2012 | 201 | |
| 20 | 2012 | 44 |
About Alex L. Pigot
Alex L. Pigot is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Paleontology, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (29 papers), Species Distribution and Climate Change (21 papers), Plant and animal studies (12 papers), Evolution and Paleontology Studies (10 papers), Wildlife Ecology and Conservation (7 papers), Animal Ecology and Behavior Studies (6 papers), Ecosystem dynamics and resilience (4 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Ecological Modeling (881 citations), Nature and Landscape Conservation (1.1k citations) and Paleontology (440 citations). Alex L. Pigot has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Joseph A. Tobias, Christopher H. Trisos, Cory Merow, C. David L. Orme, Ian P. F. Owens, Albert B. Phillimore, Rampal S. Etienne, Catherine Sheard, Tim M. Blackburn and Benjamin G. Freeman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.