Sabrina Mazzoni

716 total citations
11 papers, 577 citations indexed

About

Sabrina Mazzoni is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Sabrina Mazzoni has authored 11 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecological Modeling, 5 papers in Nature and Landscape Conservation and 4 papers in Ecology. Recurrent topics in Sabrina Mazzoni's work include Species Distribution and Climate Change (8 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Animal Ecology and Behavior Studies (2 papers). Sabrina Mazzoni is often cited by papers focused on Species Distribution and Climate Change (8 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Animal Ecology and Behavior Studies (2 papers). Sabrina Mazzoni collaborates with scholars based in Norway, United States and Austria. Sabrina Mazzoni's co-authors include Rune Halvorsen, Douglas T. Bolger, Allison C. Alberts, Raymond M. Sauvajot, Vegar Bakkestuen, Anders Bryn, Michael E. Soulé, Erik Næsset, Mikael Ohlson and Terje Gobakken and has published in prestigious journals such as Ecological Applications, Journal of Biogeography and Ecological Modelling.

In The Last Decade

Sabrina Mazzoni

10 papers receiving 558 citations

Peers

Sabrina Mazzoni

ECOLO

NLC

EEBS

GPC

Valerio Orioli Italy

Michael J. L. Peers Canada

A.S.J. van Proosdij Netherlands

Ellen P. Robertson United States

Marcela Gómez‐Laverde Colombia

Mariya Shcheglovitova United States

Brian R. Hudgens United States

Thomas P. Husband United States

Joanne M. Monks New Zealand

Henning Heldbjerg Denmark

Valerio Orioli Italy

Sabrina Mazzoni

437 ×1.2

ECOLO

209 ×0.9

NLC

217 ×0.9

127 ×1.1

EEBS

117 ×1.2

GPC

Citations per year, relative to Sabrina Mazzoni Sabrina Mazzoni (= 1×) peers Valerio Orioli

Countries citing papers authored by Sabrina Mazzoni

Since Specialization

Citations

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

Fields of papers citing papers by Sabrina Mazzoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabrina Mazzoni. 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 Sabrina Mazzoni. The network helps show where Sabrina Mazzoni may publish in the future.

Co-authorship network of co-authors of Sabrina Mazzoni

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

All Works

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11 of 11 papers shown

Muri, Cristina Di, et al.. (2024). Assessing semantic interoperability in environmental sciences: variety of approaches and semantic artefacts. Scientific Data. 11(1). 1055–1055. 3 indexed citations

Halvorsen, Rune, et al.. (2019). The MIAmaxent R package: Variable transformation and model selection for species distribution models. Ecology and Evolution. 9(21). 12051–12068. 46 indexed citations

Ribeiro, Joana, Luís Reino, Stefan Schindler, et al.. (2019). Trends in legal and illegal trade of wild birds: a global assessment based on expert knowledge. Biodiversity and Conservation. 28(12). 3343–3369. 71 indexed citations

Halvorsen, Rune, et al.. (2018). Sampling bias in presence-only data used for species distribution modelling: theory and methods for detecting sample bias and its effects on models. Duo Research Archive (University of Oslo). 38(1). 1–53. 24 indexed citations

Halvorsen, Rune, et al.. (2016). How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?. Ecological Modelling. 328. 108–118. 76 indexed citations

Mazzoni, Sabrina, Rune Halvorsen, & Vegar Bakkestuen. (2015). MIAT: Modular R-wrappers for flexible implementation of MaxEnt distribution modelling. Ecological Informatics. 30. 215–221. 14 indexed citations

Bendiksby, Mika, Sabrina Mazzoni, Marte Holten Jørgensen, Rune Halvorsen, & Håkon Holien. (2014). Combining genetic analyses of archived specimens with distribution modelling to explain the anomalous distribution of the rare lichen Staurolemma omphalarioides: long‐distance dispersal or vicariance?. Journal of Biogeography. 41(11). 2020–2031. 19 indexed citations

Halvorsen, Rune, Sabrina Mazzoni, Anders Bryn, & Vegar Bakkestuen. (2014). Opportunities for improved distribution modelling practice via a strict maximum likelihood interpretation of MaxEnt. Ecography. 38(2). 172–183. 69 indexed citations

Dramstad, Wenche, Sabrina Mazzoni, & Wendy Fjellstad. (2012). Jordvern og arealplanlegging. BIBSYS Brage (BIBSYS (Norway)). 1 indexed citations

10.

Bolger, Douglas T., et al.. (1997). Response of Rodents to Habitat Fragmentation in Coastal Southern California. Ecological Applications. 7(2). 552–552. 121 indexed citations

11.

Bolger, Douglas T., et al.. (1997). RESPONSE OF RODENTS TO HABITAT FRAGMENTATION IN COASTAL SOUTHERN CALIFORNIA. Ecological Applications. 7(2). 552–563. 133 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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