María Ariza

1.4k total citations · 1 hit paper
7 papers, 870 citations indexed

About

María Ariza is a scholar working on Ecology, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, María Ariza has authored 7 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 3 papers in Molecular Biology and 2 papers in Nature and Landscape Conservation. Recurrent topics in María Ariza's work include Environmental DNA in Biodiversity Studies (3 papers), Microbial Community Ecology and Physiology (2 papers) and Species Distribution and Climate Change (2 papers). María Ariza is often cited by papers focused on Environmental DNA in Biodiversity Studies (3 papers), Microbial Community Ecology and Physiology (2 papers) and Species Distribution and Climate Change (2 papers). María Ariza collaborates with scholars based in Norway, Brazil and Germany. María Ariza's co-authors include Tobias Andermann, Daniele Silvestro, Camila Duarte Ritter, Josué A. R. Azevedo, Alexander Zizka, Alexandre Antonelli, Sten Svantesson, Niklas Wengström, Harith Farooq and Vera Zizka and has published in prestigious journals such as Scientific Reports, Quaternary Science Reviews and Methods in Ecology and Evolution.

In The Last Decade

María Ariza

7 papers receiving 855 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases

2019 685 citations Alexander Zizka, Daniele Silvestro et al. Methods in Ecology and Evolution profile →

Peers

María Ariza

EM

EEBS

NLC

ECOLO

GENET

Harith Farooq Mozambique

Josué A. R. Azevedo Brazil

Niklas Wengström Sweden

Marianna V. P. Simões United States

Giulio Valentino Dalla Riva New Zealand

Sten Svantesson Sweden

Cristian Román‐Palacios United States

Valeria Di Cola Argentina

Buntarou Kusumoto Japan

Viviane Gianluppi Ferro Brazil

Harith Farooq Mozambique

María Ariza

472 ×1.1

EM

381 ×1.0

EEBS

401 ×1.1

NLC

280 ×1.0

ECOLO

153 ×1.1

GENET

Citations per year, relative to María Ariza María Ariza (= 1×) peers Harith Farooq

Countries citing papers authored by María Ariza

Since Specialization

Citations

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

Fields of papers citing papers by María Ariza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Ariza

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ariza, María, et al.. (2024). Evaluating the feasibility of using plant‐specific metabarcoding to assess forest types from soil eDNA. Applied Vegetation Science. 27(4). 1 indexed citations

2.

Ariza, María, Bertrand Fouks, Quentin Mauvisseau, et al.. (2022). Plant biodiversity assessment through soil eDNA reflects temporal and local diversity. Methods in Ecology and Evolution. 14(2). 415–430. 31 indexed citations

3.

Ariza, María, et al.. (2022). Severe conservation risks of roads on apex predators. Scientific Reports. 12(1). 2902–2902. 19 indexed citations

4.

Polling, Marcel, B. van Geel, Sanne Boessenkool, et al.. (2021). Multiproxy analysis of permafrost preserved faeces provides an unprecedented insight into the diets and habitats of extinct and extant megafauna. Quaternary Science Reviews. 267. 107084–107084. 9 indexed citations

5.

Zizka, Alexander, Daniele Silvestro, Tobias Andermann, et al.. (2019). CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases. Methods in Ecology and Evolution. 10(5). 744–751. 685 indexed citations breakdown →

6.

Antonelli, Alexandre, María Ariza, James S. Albert, et al.. (2018). Conceptual and empirical advances in Neotropical biodiversity research. PeerJ. 6. e5644–e5644. 107 indexed citations

7.

Landaverde‐González, Patricia, Eunice Enríquez, María Ariza, et al.. (2017). Fragmentation in the clouds? The population genetics of the native bee Partamona bilineata (Hymenoptera: Apidae: Meliponini) in the cloud forests of Guatemala. Conservation Genetics. 18(3). 631–643. 18 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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