Sara Pasquali

741 total citations
35 papers, 542 citations indexed

About

Sara Pasquali is a scholar working on Ecology, Insect Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sara Pasquali has authored 35 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 12 papers in Insect Science and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sara Pasquali's work include Forest Insect Ecology and Management (7 papers), Animal Ecology and Behavior Studies (6 papers) and Insect-Plant Interactions and Control (6 papers). Sara Pasquali is often cited by papers focused on Forest Insect Ecology and Management (7 papers), Animal Ecology and Behavior Studies (6 papers) and Insect-Plant Interactions and Control (6 papers). Sara Pasquali collaborates with scholars based in Italy, Germany and Spain. Sara Pasquali's co-authors include Gianni Gilioli, G. Buffoni, Enrico Marchesini, Fabrizio Ruggeri, Stephan Winter, Simone Parisi, Gritta Schrader, Pablo Martín, Nils Carlsson and Luigi Mariani and has published in prestigious journals such as BioScience, Journal of the Franklin Institute and Ecological Modelling.

In The Last Decade

Sara Pasquali

34 papers receiving 531 citations

Peers

Sara Pasquali

ECOLO

EEBS

PHEOH

Angela Peace United States

C. J. Nagelkerke Netherlands

Jacoby Carter United States

Gregg Hartvigsen United States

D. A. Maelzer Australia

Michael Sieber Germany

Dale R. Lockwood United States

James R. Ziegler United States

Doriana Delfino United Kingdom

Mickaël Teixeira Alves United Kingdom

Angela Peace United States

Sara Pasquali

74 ×0.3

203 ×1.0

ECOLO

60 ×0.5

EEBS

175 ×1.7

PHEOH

138 ×1.6

Citations per year, relative to Sara Pasquali Sara Pasquali (= 1×) peers Angela Peace

Countries citing papers authored by Sara Pasquali

Since Specialization

Citations

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

Fields of papers citing papers by Sara Pasquali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Pasquali

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

All Works

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20 of 20 papers shown

Sperandio, Giorgio, et al.. (2024). An empirical model for predicting insects' diapause termination and phenology: An application to Cydia pomonella. Journal of Applied Entomology. 148(10). 1276–1291. 1 indexed citations

Pasquali, Sara, et al.. (2023). A stage structured demographic model with “no-regression” growth: The case of temperature-dependent development rate. Physica A Statistical Mechanics and its Applications. 629. 129179–129179. 1 indexed citations

Bodini, Antonella, Sara Pasquali, Antonio Pievatolo, & Fabrizio Ruggeri. (2021). Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic. Stochastic Environmental Research and Risk Assessment. 36(1). 137–155. 11 indexed citations

Pasquali, Sara, Luigi Mariani, Maurizio Calvitti, et al.. (2019). Development and calibration of a model for the potential establishment and impact of Aedes albopictus in Europe. Acta Tropica. 202. 105228–105228. 27 indexed citations

Gilioli, Gianni, Sara Pasquali, Pablo Martín, Nils Carlsson, & Luigi Mariani. (2017). A temperature-dependent physiologically based model for the invasive apple snail Pomacea canaliculata. International Journal of Biometeorology. 61(11). 1899–1911. 22 indexed citations

Pasquali, Sara, et al.. (2017). A non-Gaussian option pricing model based on Kaniadakis exponential deformation. The European Physical Journal B. 90(10). 9 indexed citations

Lanzarone, Ettore, Sara Pasquali, Gianni Gilioli, & Enrico Marchesini. (2017). A Bayesian estimation approach for the mortality in a stage-structured demographic model. Journal of Mathematical Biology. 75(3). 759–779. 12 indexed citations

Pasquali, Sara, et al.. (2015). Option pricing under deformed Gaussian distributions. Physica A Statistical Mechanics and its Applications. 446. 246–263. 11 indexed citations

Gilioli, Gianni, Sara Pasquali, & Enrico Marchesini. (2015). A modelling framework for pest population dynamics and management: An application to the grape berry moth. Ecological Modelling. 320. 348–357. 55 indexed citations

10.

Gilioli, Gianni, Ettore Lanzarone, Joaquı́n Mı́guez, et al.. (2014). A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system. Mathematical Biosciences & Engineering. 11(3). 573–597. 5 indexed citations

11.

Pasquali, Sara, Gianni Gilioli, Dirk Janssen, & Stephan Winter. (2014). Optimal Strategies for Interception, Detection, and Eradication in Plant Biosecurity. Risk Analysis. 35(9). 1663–1673. 10 indexed citations

12.

Galbusera, Luca, Sara Pasquali, & Gianni Gilioli. (2013). Stability and optimal control for some classes of tritrophic systems. Mathematical Biosciences & Engineering. 11(2). 257–283. 1 indexed citations

13.

Gilioli, Gianni, Sara Pasquali, Sara Tramontini, & Francesca Riolo. (2013). Modelling local and long-distance dispersal of invasive chestnut gall wasp in Europe. Ecological Modelling. 263. 281–290. 29 indexed citations

14.

Gilioli, Gianni, Sara Pasquali, & Fabrizio Ruggeri. (2011). Nonlinear functional response parameter estimation in a stochastic predator-prey model. Mathematical Biosciences & Engineering. 9(1). 75–96. 15 indexed citations

15.

Buffoni, G. & Sara Pasquali. (2009). Individual-based models for stage structured populations: formulation of “no regression” development equations. Journal of Mathematical Biology. 60(6). 831–848. 12 indexed citations

16.

Gilioli, Gianni, Sara Pasquali, & Fabrizio Ruggeri. (2007). Bayesian Inference for Functional Response in a Stochastic Predator–Prey System. Bulletin of Mathematical Biology. 70(2). 358–381. 18 indexed citations

17.

Buffoni, G. & Sara Pasquali. (2006). Structured population dynamics: continuous size and discontinuous stage structures. Journal of Mathematical Biology. 54(4). 555–595. 37 indexed citations

18.

Pasquali, Sara. (2001). The stochastic logistic equation : stationary solutions and their stability. Rendiconti del Seminario Matematico della Università di Padova. 106. 165–183. 30 indexed citations

19.

Chiarella, Carl, Sara Pasquali, & Wolfgang J. Runggaldier. (2001). On Filtering in Markovian Term Structure Models. RePEc: Research Papers in Economics. 139–150.

20.

Chiarella, Carl, Sara Pasquali, & Wolfgang J. Runggaldier. (2001). On filtering in Markovian term structure models: an approximation approach. Advances in Applied Probability. 33(4). 794–809. 4 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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