Charles G. Willis
- Ecological Modeling top 0.2%
- Species Distribution and Climate Change 19
- Nature and Landscape Conservation top 0.5%
- Ecology and Vegetation Dynamics Studies 24
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- Plant and animal studies 28
- Plant Diversity and Evolution 3
- Plant Science top 1%
- Plant Parasitism and Resistance 3
- Seed Germination and Physiology 3
- Ecology top 2%
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- Animal and Plant Science Education 3
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- Tree-ring climate responses 2
- Co-authors
- Charles C. DavisRichard B. PrimackRafael Rubio de CasasAbraham J. Miller‐RushingKathleen DonohueLiana T. BurghardtKatherine KovachBrad R. Ruhfel
- Cited by
- Ecological ModelingNature and Landscape ConservationEcology, Evolution, Behavior and Systematics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Charles G. Willis
36 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Ecological Modeling 1.4k
- Nature and Landscape Conservation 1.8k
- Ecology, Evolution, Behavior and Systematics 2.0k
- Plant Science 1.4k
- Ecology 815
Countries citing papers authored by Charles G. Willis
This map shows the geographic impact of Charles G. Willis'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 Charles G. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles G. Willis more than expected).
Fields of papers citing papers by Charles G. Willis
This network shows the impact of papers produced by Charles G. Willis. 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 Charles G. Willis. The network helps show where Charles G. Willis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles G. Willis, 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 | 2021 | 100 | |
| 2 | 2021 | 7 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 38 | |
| 8 | Widespread sampling biases in herbaria revealed from large‐scale digitizationbreakdown → | 2017 | 277 |
| 9 | 2017 | 235 | |
| 10 | 2017 | 57 | |
| 11 | 2016 | 6 | |
| 12 | 2015 | 187 | |
| 13 | Reply to Angelo: Climate change and species loss in Thoreau's woods (Concord, Massachusetts, USA) | 2014 | 1 |
| 14 | 2014 | 35 | |
| 15 | 2014 | 38 | |
| 16 | 2013 | 138 | |
| 17 | 2012 | 10 | |
| 18 | 2010 | 22 | |
| 19 | 2010 | 202 | |
| 20 | 2007 | 39 |
About Charles G. Willis
Charles G. Willis is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 3.6k indexed citations. Recurring topics across this work include Plant and animal studies (28 papers), Ecology and Vegetation Dynamics Studies (24 papers), Species Distribution and Climate Change (19 papers), Plant Parasitism and Resistance (3 papers), Plant Diversity and Evolution (3 papers), Animal and Plant Science Education (3 papers), Seed Germination and Physiology (3 papers) and Tree-ring climate responses (2 papers). The work is most often cited by research in Ecological Modeling (1.4k citations), Nature and Landscape Conservation (1.8k citations) and Ecology, Evolution, Behavior and Systematics (2.0k citations). Charles G. Willis has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Charles C. Davis, Richard B. Primack, Rafael Rubio de Casas, Abraham J. Miller‐Rushing, Kathleen Donohue, Liana T. Burghardt, Katherine Kovach, Brad R. Ruhfel, Aaron M. Ellison and Jeannine Cavender‐Bares.
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.