María C. Mateo‐Sánchez

1.1k total citations
20 papers, 666 citations indexed

About

María C. Mateo‐Sánchez is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, María C. Mateo‐Sánchez has authored 20 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 10 papers in Ecological Modeling and 5 papers in Nature and Landscape Conservation. Recurrent topics in María C. Mateo‐Sánchez's work include Wildlife Ecology and Conservation (20 papers), Wildlife-Road Interactions and Conservation (16 papers) and Species Distribution and Climate Change (10 papers). María C. Mateo‐Sánchez is often cited by papers focused on Wildlife Ecology and Conservation (20 papers), Wildlife-Road Interactions and Conservation (16 papers) and Species Distribution and Climate Change (10 papers). María C. Mateo‐Sánchez collaborates with scholars based in Spain, United States and Germany. María C. Mateo‐Sánchez's co-authors include Santiago Saura, Niko Balkenhol, Ana Domínguez, Trinidad Pérez, Sam Cushman, Aitor Gastón, Samuel A. Cushman, Miguel A. Simón, Juan Ignacio García‐Viñás and Luciano Bani and has published in prestigious journals such as PLoS ONE, Journal of Applied Ecology and Remote Sensing.

In The Last Decade

María C. Mateo‐Sánchez

20 papers receiving 655 citations

Peers

María C. Mateo‐Sánchez
Tzeidle N. Wasserman United States
Joanna M. Burgar Canada
Carmen Cianfrani Switzerland
Aurélien G. Besnard France
Mary Beth Kolozsvary United States
Divya Vasudev India
Jenni G. Garden Australia
Julie A. Heinrichs United States
Richard L. Truex United States
Johanna Bradie Canada
Tzeidle N. Wasserman United States
María C. Mateo‐Sánchez
Citations per year, relative to María C. Mateo‐Sánchez María C. Mateo‐Sánchez (= 1×) peers Tzeidle N. Wasserman

Countries citing papers authored by María C. Mateo‐Sánchez

Since Specialization
Citations

This map shows the geographic impact of María C. Mateo‐Sánchez'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 María C. Mateo‐Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María C. Mateo‐Sánchez more than expected).

Fields of papers citing papers by María C. Mateo‐Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María C. Mateo‐Sánchez. 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 María C. Mateo‐Sánchez. The network helps show where María C. Mateo‐Sánchez may publish in the future.

Co-authorship network of co-authors of María C. Mateo‐Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of María C. Mateo‐Sánchez. A scholar is included among the top collaborators of María C. Mateo‐Sánchez 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 María C. Mateo‐Sánchez. María C. Mateo‐Sánchez 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.
Lewison, Rebecca L., et al.. (2023). Dynamic connectivity analyses to inform management of the invasive American mink and its native competitor, the European mink. Biological Invasions. 25(11). 3583–3601. 3 indexed citations
2.
Mateo‐Sánchez, María C., et al.. (2022). Static vs dynamic connectivity: how landscape changes affect connectivity predictions in the Iberian Peninsula. Landscape Ecology. 37(7). 1855–1870. 12 indexed citations
3.
Mateo, Rubén G., et al.. (2022). Considering plant functional connectivity in landscape conservation and restoration management. Biodiversity and Conservation. 31(5-6). 1591–1608. 4 indexed citations
4.
Juffe‐Bignoli, Diego, et al.. (2021). Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in Tanzania. Remote Sensing in Ecology and Conservation. 7(3). 430–444. 15 indexed citations
5.
Mateo‐Sánchez, María C., et al.. (2021). The Role of Remote Sensing Data in Habitat Suitability and Connectivity Modeling: Insights from the Cantabrian Brown Bear. Remote Sensing. 13(6). 1138–1138. 15 indexed citations
6.
Gastón, Aitor, et al.. (2021). Deterministic, random, or in between? Inferring the randomness level of wildlife movements. Movement Ecology. 9(1). 33–33. 9 indexed citations
7.
8.
Ciudad, Carlos, et al.. (2021). Landscape connectivity estimates are affected by spatial resolution, habitat seasonality and population trends. Biodiversity and Conservation. 30(5). 1395–1413. 6 indexed citations
9.
Mateo‐Sánchez, María C., et al.. (2020). Influence of land-use/land-cover change on landscape connectivity for an endemic threatened amphibian (Argenteohyla siemersi pederseni, Anura: Hylidae). Landscape Ecology. 35(6). 1481–1494. 13 indexed citations
10.
Zarzo‐Arias, Alejandra, Vincenzo Penteriani, María del Mar Delgado, et al.. (2019). Identifying potential areas of expansion for the endangered brown bear (Ursus arctos) population in the Cantabrian Mountains (NW Spain). PLoS ONE. 14(1). e0209972–e0209972. 45 indexed citations
11.
Gastón, Aitor, et al.. (2019). The role of forest canopy cover in habitat selection: insights from the Iberian lynx. European Journal of Wildlife Research. 65(2). 20 indexed citations
12.
Mateo‐Sánchez, María C., et al.. (2018). Natura 2000 sites, public forests and riparian corridors: The connectivity backbone of forest green infrastructure. Land Use Policy. 75. 429–441. 75 indexed citations
13.
Dondina, Olivia, Santiago Saura, Luciano Bani, & María C. Mateo‐Sánchez. (2018). Enhancing connectivity in agroecosystems: focus on the best existing corridors or on new pathways?. Landscape Ecology. 33(10). 1741–1756. 38 indexed citations
14.
Gastón, Aitor, Carlos Ciudad, María C. Mateo‐Sánchez, et al.. (2016). Species’ habitat use inferred from environmental variables at multiple scales: How much we gain from high-resolution vegetation data?. International Journal of Applied Earth Observation and Geoinformation. 55. 1–8. 27 indexed citations
15.
Gastón, Aitor, Germán Garrote, María C. Mateo‐Sánchez, et al.. (2016). Response to agriculture by a woodland species depends on cover type and behavioural state: insights from resident and dispersing Iberian lynx. Journal of Applied Ecology. 53(3). 814–824. 62 indexed citations
16.
Mateo‐Sánchez, María C., Niko Balkenhol, Sam Cushman, et al.. (2015). Estimating effective landscape distances and movement corridors: comparison of habitat and genetic data. Ecosphere. 6(4). 1–16. 98 indexed citations
17.
Mateo‐Sánchez, María C., Aitor Gastón, Carlos Ciudad, et al.. (2015). Seasonal and temporal changes in species use of the landscape: how do they impact the inferences from multi-scale habitat modeling?. Landscape Ecology. 31(6). 1261–1276. 37 indexed citations
18.
Mateo‐Sánchez, María C., Niko Balkenhol, Samuel A. Cushman, et al.. (2015). A comparative framework to infer landscape effects on population genetic structure: are habitat suitability models effective in explaining gene flow?. Landscape Ecology. 30(8). 1405–1420. 112 indexed citations
19.
Mateo‐Sánchez, María C., Sam Cushman, & Santiago Saura. (2014). Connecting endangered brown bear subpopulations in the Cantabrian Range (north‐western Spain). Animal Conservation. 17(5). 430–440. 49 indexed citations
20.
Mateo‐Sánchez, María C., et al.. (2012). Sustaining forest landscape connectivity under different land cover change scenarios. Forest Systems. 21(2). 223–235. 24 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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