Charles J. Marsh

2.7k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Charles J. Marsh is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Ecology. According to data from OpenAlex, Charles J. Marsh has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nature and Landscape Conservation, 19 papers in Ecological Modeling and 11 papers in Ecology. Recurrent topics in Charles J. Marsh's work include Species Distribution and Climate Change (19 papers), Ecology and Vegetation Dynamics Studies (19 papers) and Wildlife Ecology and Conservation (8 papers). Charles J. Marsh is often cited by papers focused on Species Distribution and Climate Change (19 papers), Ecology and Vegetation Dynamics Studies (19 papers) and Wildlife Ecology and Conservation (8 papers). Charles J. Marsh collaborates with scholars based in United Kingdom, United States and Germany. Charles J. Marsh's co-authors include Joseph A. Veech, Daniel M. Griffith, Robert M. Ewers, Yoni Gavish, Mark A. Lee, Sally A. Power, Júlio Louzada, William E. Kunin, Janna Rist and Peter Manning and has published in prestigious journals such as PLoS ONE, Journal of Marketing and Trends in Ecology & Evolution.

In The Last Decade

Charles J. Marsh

28 papers receiving 1.0k citations

Hit Papers

cooccur: Probabilistic Species Co-Occurrence Analysis inR 2016 2026 2019 2022 2016 100 200 300 400

Peers

Charles J. Marsh
Charles J. Marsh
Citations per year, relative to Charles J. Marsh Charles J. Marsh (= 1×) peers Elizabeth J. Kleynhans

Countries citing papers authored by Charles J. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Charles J. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles J. Marsh. 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 J. Marsh. The network helps show where Charles J. Marsh may publish in the future.

Co-authorship network of co-authors of Charles J. Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of Charles J. Marsh. A scholar is included among the top collaborators of Charles J. Marsh 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 Charles J. Marsh. Charles J. Marsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marsh, Charles J., Yanina V. Sica, Nathan S. Upham, & Walter Jetz. (2024). Response to Arbogast and Kerhoulas. Journal of Mammalogy. 105(4). 941–948. 2 indexed citations
2.
Betts, Matthew G., Marion Pfeifer, Christopher Wolf, et al.. (2023). Climate-driven variation in dispersal ability predicts responses to forest fragmentation in birds. Nature Ecology & Evolution. 7(7). 1079–1091. 29 indexed citations
3.
Gábor, Lukáš, Walter Jetz, Alejandra Zarzo‐Arias, et al.. (2023). Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable. Ecography. 2023(6). 10 indexed citations
4.
Maureaud, Aurore, Robert Guralnick, Mélodie A. McGeoch, et al.. (2023). A globally integrated structure of taxonomy to support biodiversity science and conservation. Trends in Ecology & Evolution. 38(12). 1143–1153. 25 indexed citations
5.
Marsh, Charles J., Mindy M. Syfert, Elina Aletrari, et al.. (2023). The effect of sampling effort and methodology on range size estimates of poorly-recorded species for IUCN Red List assessments. Biodiversity and Conservation. 32(3). 1105–1123. 10 indexed citations
6.
Gábor, Lukáš, Petra Šímová, Petr Keil, et al.. (2022). Habitats as predictors in species distribution models: Shall we use continuous or binary data?. Ecography. 2022(7). 17 indexed citations
7.
Maureaud, Aurore, Robert Guralnick, Mélodie A. McGeoch, et al.. (2022). Getting the GIST: Testing an integrative data structure for linking taxonomy, biodiversity and conservation. Biodiversity Information Science and Standards. 6. 1 indexed citations
8.
Marsh, Charles J., Yoni Gavish, Mathias Kuemmerlen, et al.. (2022). SDM profiling: A tool for assessing the information-content of sampled and unsampled locations for species distribution models. Ecological Modelling. 475. 110170–110170. 6 indexed citations
9.
Marsh, Charles J., et al.. (2022). Recovery trajectories of oceanic reef ecosystems following multiple mass coral bleaching events. Marine Biology. 169(2). 9 indexed citations
10.
Jeliazkov, Aliénor, Yoni Gavish, Charles J. Marsh, et al.. (2022). Sampling and modelling rare species: Conceptual guidelines for the neglected majority. Global Change Biology. 28(12). 3754–3777. 54 indexed citations
11.
Marsh, Charles J., Yoni Gavish, William E. Kunin, & Neil Brummitt. (2019). Mind the gap: Can downscaling Area of Occupancy overcome sampling gaps when assessing IUCN Red List status?. Diversity and Distributions. 25(12). 1832–1845. 6 indexed citations
12.
Gavish, Yoni, Jerome O’Connell, Charles J. Marsh, et al.. (2018). Comparing the performance of flat and hierarchical Habitat/Land-Cover classification models in a NATURA 2000 site. ISPRS Journal of Photogrammetry and Remote Sensing. 136. 1–12. 24 indexed citations
13.
Gavish, Yoni, Charles J. Marsh, Mathias Kuemmerlen, et al.. (2017). Accounting for biotic interactions through alpha‐diversity constraints in stacked species distribution models. Methods in Ecology and Evolution. 8(9). 1092–1102. 24 indexed citations
14.
Griffith, Daniel M., Joseph A. Veech, & Charles J. Marsh. (2016). cooccur: Probabilistic Species Co-Occurrence Analysis inR. Journal of Statistical Software. 69(Code Snippet 2). 422 indexed citations breakdown →
15.
Brummitt, Neil, Eugenie Regan, Lauren V. Weatherdon, et al.. (2016). Taking stock of nature: Essential biodiversity variables explained. Biological Conservation. 213. 252–255. 39 indexed citations
16.
Marsh, Charles J., Júlio Louzada, Wallace Beiroz, & Robert M. Ewers. (2013). Optimising Bait for Pitfall Trapping of Amazonian Dung Beetles (Coleoptera: Scarabaeinae). PLoS ONE. 8(8). e73147–e73147. 77 indexed citations
17.
Marsh, Charles J. & Robert M. Ewers. (2012). A fractal‐based sampling design for ecological surveys quantifying β‐diversity. Methods in Ecology and Evolution. 4(1). 63–72. 22 indexed citations
18.
Ewers, Robert M., Charles J. Marsh, & Oliver R. Wearn. (2010). Making statistics biologically relevant in fragmented landscapes. Trends in Ecology & Evolution. 25(12). 699–704. 33 indexed citations
19.
Marsh, Charles J., et al.. (2010). Community-level diversity modelling of birds and butterflies on Anjouan, Comoro Islands. Biological Conservation. 143(6). 1364–1374. 16 indexed citations
20.
Marsh, Charles J. & F. N. David. (1951). Probability Theory for Statistical Methods. Journal of Marketing. 15(3). 376–376. 32 indexed citations

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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