Susana Perelman

2.4k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Susana Perelman is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Susana Perelman has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Nature and Landscape Conservation and 16 papers in Plant Science. Recurrent topics in Susana Perelman's work include Ecology and Vegetation Dynamics Studies (18 papers), Plant Taxonomy and Phylogenetics (11 papers) and Wildlife Ecology and Conservation (5 papers). Susana Perelman is often cited by papers focused on Ecology and Vegetation Dynamics Studies (18 papers), Plant Taxonomy and Phylogenetics (11 papers) and Wildlife Ecology and Conservation (5 papers). Susana Perelman collaborates with scholars based in Argentina, United States and Brazil. Susana Perelman's co-authors include Juan Pablo Guerschman, Gervasio Piñeiro, José M. Paruelo, Rolando J.C. León, Martı́n Oesterheld, A. Soriano, Enrique J. Chaneton, Osvaldo E. Sala, Marina Omacini and William B. Batista and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Susana Perelman

35 papers receiving 1.8k citations

Hit Papers

How to evaluate models: O... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susana Perelman Argentina 19 725 608 459 418 380 38 1.8k
Matthew D. Madsen United States 27 798 1.1× 1.0k 1.7× 591 1.3× 233 0.6× 565 1.5× 75 1.9k
Toby R. Marthews United Kingdom 24 674 0.9× 569 0.9× 364 0.8× 223 0.5× 1.0k 2.7× 39 2.0k
James R. Brandle United States 26 529 0.7× 604 1.0× 564 1.2× 301 0.7× 707 1.9× 105 2.4k
Carlos Ovalle Chile 26 595 0.8× 389 0.6× 587 1.3× 361 0.9× 369 1.0× 115 2.3k
Bradley S. Case New Zealand 24 662 0.9× 874 1.4× 399 0.9× 299 0.7× 745 2.0× 68 2.2k
Camilla Wellstein Italy 22 1.4k 1.9× 627 1.0× 851 1.9× 665 1.6× 782 2.1× 82 2.6k
Peter A. Henrys United Kingdom 25 653 0.9× 865 1.4× 255 0.6× 677 1.6× 585 1.5× 85 2.6k
Maria C. Caldeira Portugal 23 1.0k 1.4× 602 1.0× 750 1.6× 467 1.1× 987 2.6× 50 2.3k
Simonetta Bagella Italy 24 479 0.7× 507 0.8× 696 1.5× 434 1.0× 235 0.6× 100 1.7k
Pu Mou China 24 669 0.9× 631 1.0× 416 0.9× 145 0.3× 477 1.3× 52 1.7k

Countries citing papers authored by Susana Perelman

Since Specialization
Citations

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

Fields of papers citing papers by Susana Perelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Perelman

This figure shows the co-authorship network connecting the top 25 collaborators of Susana Perelman. A scholar is included among the top collaborators of Susana Perelman 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 Susana Perelman. Susana Perelman 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.
Bergamin, Rodrigo Scarton, Bianca Ott Andrade, Alice Altesor, et al.. (2024). Determinants of biogeographical distribution of grasses in grasslands of South America. Perspectives in Plant Ecology Evolution and Systematics. 63. 125791–125791. 4 indexed citations
3.
Perelman, Susana, et al.. (2023). Abordaje multivariado en estudios botánicos y ecológicos. Darwiniana nueva serie. 11(1). 272–294.
4.
Andrade, Bianca Ott, Eduardo Marchesi, Felipe Lezama, et al.. (2018). Vascular plant species richness and distribution in the Río de la Plata grasslands. Botanical Journal of the Linnean Society. 56 indexed citations
5.
Perelman, Susana, et al.. (2017). Climatic and land‐use drivers along a latitudinal gradient: species diversity in temperate grasslands on agricultural soils. Journal of Vegetation Science. 28(6). 1230–1239. 4 indexed citations
7.
Carmona, Marcelo, et al.. (2015). Development and validation of a fungicide scoring system for management of late season soybean diseases in Argentina. Crop Protection. 70. 83–91. 26 indexed citations
8.
Schellberg, J., Frank Ewert, Anja Linstädter, et al.. (2014). Response of community‐aggregated plant functional traits along grazing gradients: insights from African semi‐arid grasslands. Applied Vegetation Science. 17(3). 470–481. 58 indexed citations
9.
Perelman, Susana, et al.. (2014). Local and regional long‐term diversity changes and biotic homogenization in two temperate grasslands. Journal of Vegetation Science. 25(5). 1278–1288. 11 indexed citations
10.
Carmona, Marcelo, et al.. (2011). Relationship between Late Soybean Diseases Complex and Rain in Determining Grain Yield Responses to Fungicide Applications. Journal of Phytopathology. 159(10). 687–693. 11 indexed citations
11.
León, Rolando J.C., et al.. (2010). Plant species diversity in remnant grasslands on arable soils in the cropping Pampa. Plant Ecology. 212(6). 1009–1024. 22 indexed citations
12.
Piñeiro, Gervasio, Susana Perelman, Juan Pablo Guerschman, & José M. Paruelo. (2008). How to evaluate models: Observed vs. predicted or predicted vs. observed?. Ecological Modelling. 216(3-4). 316–322. 730 indexed citations breakdown →
13.
Mazzella, Marı́a Agustina, María Verónica Arana, Roberto J. Staneloni, et al.. (2005). Phytochrome Control of the Arabidopsis Transcriptome Anticipates Seedling Exposure to Light. The Plant Cell. 17(9). 2507–2516. 35 indexed citations
14.
Chaneton, Enrique J., Susana Perelman, & Rolando J.C. León. (2005). Floristic heterogeneity of flooding Pampa grasslands: a multi-scale analysis. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 139(3). 245–254. 7 indexed citations
15.
Perelman, Susana, Marı́a Agustina Mazzella, Jorge Muschietti, Tong Zhu, & Jorge J. Casal. (2003). Finding Unexpected Patterns in Microarray Data. PLANT PHYSIOLOGY. 133(4). 1717–1725. 14 indexed citations
16.
Perelman, Susana, et al.. (2003). The role of a native tussock grass (Paspalum quadrifarium Lam.) in structuring plant communities in the Flooding Pampa grasslands, Argentina. Biodiversity and Conservation. 12(2). 225–238. 31 indexed citations
17.
Ghersa, Claudio M., Diego Ferraro, Marina Omacini, et al.. (2002). Farm and landscape level variables as indicators of sustainable land-use in the Argentine Inland-Pampa. Agriculture Ecosystems & Environment. 93(1-3). 279–293. 42 indexed citations
18.
Ghersa, Claudio M., Marina Omacini, Diego Ferraro, et al.. (2000). Estimation of sustainability indicators in mixed cropping systems of the inland Pampa.. 20(1). 49–66. 1 indexed citations
19.
Perelman, Susana, et al.. (1997). Floristic changes related to grazing intensity in a Patagonian shrub steppe. Ecography. 20(4). 400–406. 80 indexed citations
20.
Batista, William B., Rolando J.C. León, & Susana Perelman. (1988). Las comunidades vegetales de un pastizal natural de la Región de Laprida, Prov. de Buenos Aires, Argentina. Phytocoenologia. 16(4). 465–480. 17 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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