María Eugenia Iezzi

720 total citations
16 papers, 306 citations indexed

About

María Eugenia Iezzi is a scholar working on Ecology, Nature and Landscape Conservation and Genetics. According to data from OpenAlex, María Eugenia Iezzi has authored 16 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 8 papers in Nature and Landscape Conservation and 3 papers in Genetics. Recurrent topics in María Eugenia Iezzi's work include Wildlife Ecology and Conservation (15 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Animal Ecology and Behavior Studies (4 papers). María Eugenia Iezzi is often cited by papers focused on Wildlife Ecology and Conservation (15 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Animal Ecology and Behavior Studies (4 papers). María Eugenia Iezzi collaborates with scholars based in Argentina, Brazil and United States. María Eugenia Iezzi's co-authors include Mario S. Di Bitetti, Carlos De Angelo, Paula Cruz, Diego� Varela, Agustín Paviolo, Julia Martínez Pardo, Javier A. Pereira, Sebastián Andrés Costa, Verónica Quiroga and Robert J. Fletcher and has published in prestigious journals such as PLoS ONE, Biological Conservation and Forest Ecology and Management.

In The Last Decade

María Eugenia Iezzi

16 papers receiving 301 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
María Eugenia Iezzi Argentina 10 261 93 69 55 41 16 306
Paula Cruz Argentina 10 274 1.0× 90 1.0× 74 1.1× 44 0.8× 50 1.2× 19 317
Diego� Varela Argentina 10 291 1.1× 153 1.6× 89 1.3× 74 1.3× 40 1.0× 17 384
Anak Pattanavibool Thailand 11 340 1.3× 121 1.3× 129 1.9× 61 1.1× 54 1.3× 19 399
Kapil K. Khadka United States 8 258 1.0× 43 0.5× 66 1.0× 49 0.9× 56 1.4× 13 332
Maurus Msuha Tanzania 11 288 1.1× 45 0.5× 70 1.0× 70 1.3× 58 1.4× 14 358
Todd Soderquist Australia 12 346 1.3× 132 1.4× 105 1.5× 53 1.0× 34 0.8× 20 396
Junaidi Payne Malaysia 7 255 1.0× 81 0.9× 59 0.9× 104 1.9× 69 1.7× 13 369
Neil A. Gilbert United States 8 271 1.0× 50 0.5× 144 2.1× 40 0.7× 26 0.6× 21 345
Maja Kajin Brazil 11 241 0.9× 66 0.7× 48 0.7× 35 0.6× 22 0.5× 26 306
Mark Chynoweth United States 10 256 1.0× 41 0.4× 77 1.1× 35 0.6× 21 0.5× 17 313

Countries citing papers authored by María Eugenia Iezzi

Since Specialization
Citations

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

Fields of papers citing papers by María Eugenia Iezzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Eugenia Iezzi. 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 Eugenia Iezzi. The network helps show where María Eugenia Iezzi may publish in the future.

Co-authorship network of co-authors of María Eugenia Iezzi

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

All Works

16 of 16 papers shown
1.
Fletcher, Robert J., et al.. (2023). A framework for linking dispersal biology to connectivity across landscapes. Landscape Ecology. 38(10). 2487–2500. 7 indexed citations
2.
Agostini, Ilaria, Diego� Varela, María Eugenia Iezzi, et al.. (2022). Camera trapping arboreal mammals in Argentina’s Atlantic Forest. Mammalia. 86(6). 551–561. 4 indexed citations
3.
Iezzi, María Eugenia, Mario S. Di Bitetti, Julia Martínez Pardo, et al.. (2022). Forest fragments prioritization based on their connectivity contribution for multiple Atlantic Forest mammals. Biological Conservation. 266. 109433–109433. 14 indexed citations
4.
Pardo, Julia Martínez, Paula Cruz, Sergio Moya, et al.. (2022). Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models. Biological Conservation. 272. 109600–109600. 6 indexed citations
5.
Bitetti, Mario S. Di, María Eugenia Iezzi, Paula Cruz, et al.. (2022). Enemies or good neighbors? No indication of spatial or temporal avoidance between two sympatric South American canids. Journal of Zoology. 317(3). 170–184. 2 indexed citations
6.
Iezzi, María Eugenia, Carlos De Angelo, Paula Cruz, Diego� Varela, & Mario S. Di Bitetti. (2021). Are tree plantations promoting homogenization of mammal assemblages between regions with contrasting environments?. Journal of Biogeography. 48(5). 1038–1047. 11 indexed citations
7.
Bitetti, Mario S. Di, María Eugenia Iezzi, Paula Cruz, Diego� Varela, & Carlos De Angelo. (2020). Effects of cattle on habitat use and diel activity of large native herbivores in a South American rangeland. Journal for Nature Conservation. 58. 125900–125900. 27 indexed citations
8.
Iezzi, María Eugenia, Carlos De Angelo, & Mario S. Di Bitetti. (2020). Tree plantations replacing natural grasslands in high biodiversity areas: How do they affect the mammal assemblage?. Forest Ecology and Management. 473. 118303–118303. 24 indexed citations
9.
Cruz, Paula, Carlos De Angelo, Julia Martínez Pardo, et al.. (2019). Cats under cover: Habitat models indicate a high dependency on woodlands by Atlantic Forest felids. Biotropica. 51(2). 266–278. 25 indexed citations
10.
Cruz, Paula, María Eugenia Iezzi, Carlos De Angelo, Diego� Varela, & Mario S. Di Bitetti. (2019). Landscape use by two opossums is shaped by habitat preferences rather than by competitive interactions. Journal of Mammalogy. 100(6). 1966–1978. 10 indexed citations
11.
Iezzi, María Eugenia, Paula Cruz, Diego� Varela, Mario S. Di Bitetti, & Carlos De Angelo. (2019). Fragment configuration or environmental quality? Understanding what really matters for the conservation of native mammals in the Atlantic Forest of Argentina. Journal for Nature Conservation. 52. 125751–125751. 9 indexed citations
12.
Cruz, Paula, et al.. (2018). DETERMINING THE WINTERING RANGE OF BROAD-WINGED HAWK (BUTEO PLATYPTERUS) IN SOUTH AMERICA USING CITIZEN-SCIENCE DATABASE. Ornitología Neotropical. 29. 337–342. 6 indexed citations
13.
Cruz, Paula, María Eugenia Iezzi, Carlos De Angelo, et al.. (2018). Effects of human impacts on habitat use, activity patterns and ecological relationships among medium and small felids of the Atlantic Forest. PLoS ONE. 13(8). e0200806–e0200806. 84 indexed citations
14.
Paviolo, Agustín, Paula Cruz, María Eugenia Iezzi, et al.. (2018). Barriers, corridors or suitable habitat? Effect of monoculture tree plantations on the habitat use and prey availability for jaguars and pumas in the Atlantic Forest. Forest Ecology and Management. 430. 576–586. 25 indexed citations
15.
Iezzi, María Eugenia, Paula Cruz, Diego� Varela, Carlos De Angelo, & Mario S. Di Bitetti. (2018). Tree monocultures in a biodiversity hotspot: Impact of pine plantations on mammal and bird assemblages in the Atlantic Forest. Forest Ecology and Management. 424. 216–227. 45 indexed citations
16.

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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