Chris Zganjar
- Global and Planetary Change top 10%
- Ecology top 10%
- Nature and Landscape Conservation top 10%
- Ecological Modeling top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Evan GirvetzEdwin P. MaurerGeorge T. RaberJoshua J. LawlerPeter KareivaPhilip A. TownsendJane R. FosterForrest M. Hoffman
- Topics
- Climate variability and models (4 papers)Species Distribution and Climate Change (3 papers)Conservation, Biodiversity, and Resource Management (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Chris Zganjar
9 papers receiving 439 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Global and Planetary Change 215
- Ecology 188
- Nature and Landscape Conservation 127
- Ecological Modeling 127
- Ecology, Evolution, Behavior and Systematics 72
Countries citing papers authored by Chris Zganjar
This map shows the geographic impact of Chris Zganjar'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 Chris Zganjar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Zganjar more than expected).
Fields of papers citing papers by Chris Zganjar
This network shows the impact of papers produced by Chris Zganjar. 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 Chris Zganjar. The network helps show where Chris Zganjar may publish in the future.
Co-authorship network of co-authors of Chris Zganjar
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Zganjar. A scholar is included among the top collaborators of Chris Zganjar 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 Chris Zganjar. Chris Zganjar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Drivers of global mangrove loss and gain in social-ecological systemsbreakdown → | 112 |
| 3 | 22 | |
| 4 | 24 | |
| 5 | Making Climate Data Relevant to Decision Making: The important details of Spatial and Temporal Downscaling | 21 |
| 6 | 156 | |
| 7 | 50 | |
| 8 | 81 | |
| 9 | 4 |
About Chris Zganjar
Chris Zganjar is a scholar working on Ecological Modeling, Global and Planetary Change and Nature and Landscape Conservation, having authored 9 papers that have together received 473 indexed citations. Recurring topics across this work include Climate variability and models (4 papers), Species Distribution and Climate Change (3 papers) and Conservation, Biodiversity, and Resource Management (2 papers). The work is most often cited by research in Ecological Modeling (127 citations), Nature and Landscape Conservation (127 citations) and Global and Planetary Change (215 citations). Chris Zganjar has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Evan Girvetz, Edwin P. Maurer, George T. Raber, Joshua J. Lawler, Peter Kareiva, Philip A. Townsend, Jane R. Foster, Forrest M. Hoffman, William W. Hargrove and Earl C. Saxon. Their work appears in journals such as Nature Communications, PLoS ONE and Remote Sensing of Environment.
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.