Daniela Buske

718 total citations
44 papers, 369 citations indexed

About

Daniela Buske is a scholar working on Environmental Engineering, Atmospheric Science and Numerical Analysis. According to data from OpenAlex, Daniela Buske has authored 44 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Environmental Engineering, 11 papers in Atmospheric Science and 8 papers in Numerical Analysis. Recurrent topics in Daniela Buske's work include Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (8 papers) and Differential Equations and Numerical Methods (7 papers). Daniela Buske is often cited by papers focused on Wind and Air Flow Studies (23 papers), Air Quality and Health Impacts (8 papers) and Differential Equations and Numerical Methods (7 papers). Daniela Buske collaborates with scholars based in Brazil, Italy and United States. Daniela Buske's co-authors include Marco T. Vilhena, Davidson Martins Moreira, T. Tirabassi, Renato M. Cotta, Marco Túllio Vilhena, B. E. J. Bodmann, Gervásio Annes Degrazia, Marco Túllio Menna Barreto de Vilhena, G. H. Ben-Bolie and Otávio C. Acevedo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric Environment and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Daniela Buske

33 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Buske Brazil 9 227 116 107 81 66 44 369
E. Lyck Denmark 6 168 0.7× 157 1.4× 23 0.2× 16 0.2× 82 1.2× 14 273
Alexandre Preissmann France 4 79 0.3× 23 0.2× 37 0.3× 9 0.1× 51 0.8× 7 286
Nelida Črnjarić-Žic Croatia 11 8 0.0× 44 0.4× 19 0.2× 5 0.1× 53 0.8× 29 422
P. W. M. Brighton United Kingdom 10 178 0.8× 151 1.3× 10 0.1× 1 0.0× 102 1.5× 13 459
Som Dutta United States 10 80 0.4× 15 0.1× 8 0.1× 15 0.2× 9 0.1× 36 356
Stephen A. Jordan United States 12 191 0.8× 46 0.4× 9 0.1× 24 0.4× 32 387
R.J. Holroyd United Kingdom 9 158 0.7× 76 0.7× 2 0.0× 6 0.1× 29 0.4× 13 393
Bruce A. Egan United States 8 150 0.7× 121 1.0× 8 0.1× 59 0.9× 16 281
Hongmei Cheng China 13 15 0.1× 51 0.4× 23 0.2× 57 0.7× 11 0.2× 44 519
Jassiel V. H. Fontes Brazil 13 32 0.1× 104 0.9× 14 0.1× 19 0.2× 13 0.2× 46 474

Countries citing papers authored by Daniela Buske

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Buske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Buske

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Buske. A scholar is included among the top collaborators of Daniela Buske 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 Daniela Buske. Daniela Buske 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.
Buske, Daniela, et al.. (2024). Allen-Cahn Equation for Modeling Temporal Evolution of Non-Conserved Field Variables in Cancer Cell Migration. Ciência e Natura. 46(esp. 1). e87268–e87268.
2.
Buske, Daniela, et al.. (2023). Modelamiento Matemático de la Fiebre Amarilla: un modelo con migración. 3(esp.). 1–10.
3.
Buske, Daniela, et al.. (2023). Mathematical Modeling of Atmospheric Dispersion from Accidental Release of Ammonia (NH<sub>3</sub>) during Road Transport. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 427. 25–33. 2 indexed citations
4.
Brum, Ruth da Silva, et al.. (2023). Analysis of EAHE through a coupled mathematical model solved by Laplace transform and Gaver-Stehfest algorithm. Ciência e Natura. 45(esp. 3). e74745–e74745. 3 indexed citations
5.
Santos, Thiago M., Bianca O. Cata-Preta, Luisa Arroyave, et al.. (2022). Necessidade de leitos hospitalares para Covid-19 estimada por modelo epidemiológico SEIR adaptado para o município de Pelotas. Ciência e Natura. 43. e11–e11. 1 indexed citations
6.
Buske, Daniela, et al.. (2021). Simulation of the Movement of a Locust Swarm in Argentina in 2020. Neotropical Entomology. 50(5). 716–724. 5 indexed citations
7.
Buske, Daniela, et al.. (2021). Simulação para uma trajetória da nuvem de gafanhotos na Argentina em 2020. Ciência e Natura. 43. e3–e3. 1 indexed citations
8.
Brum, Ruth da Silva, et al.. (2021). Avaliação do potencial térmico de trocadores de calor solo-ar. Ciência e Natura. 43. e16–e16.
9.
Buske, Daniela, et al.. (2019). An Analytical Methodology to Air Pollution Modelling in Atmosphere. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 396. 91–98. 2 indexed citations
10.
Corrêa, Luciara Bilhalva, et al.. (2019). Análise de tendência de temperatura e precipitação e cenários de mudanças climáticas para Pelotas (RS). Revista Ibero-Americana de Ciências Ambientais. 9(8). 93–108. 3 indexed citations
11.
Ben-Bolie, G. H., et al.. (2019). A new truncated M-fractional derivative for air pollutant dispersion. Indian Journal of Physics. 94(11). 1777–1784. 8 indexed citations
12.
Buske, Daniela, et al.. (2018). WRF Model Initialization Applied to a Case of Explosive Cyclogenesis Case in the Southern Region of Brazil. 8(4). 88–98. 1 indexed citations
13.
Buske, Daniela, et al.. (2015). On the Solution of the Coupled Advection-Diffusion and Navier-Stokes Equations. 5. 1–8. 6 indexed citations
14.
Degrazia, Gervásio Annes, Daniela Buske, Umberto Rizza, et al.. (2015). Eddy diffusivities for the convective boundary layer derived from LES spectral data. Atmospheric Pollution Research. 6(4). 605–611. 4 indexed citations
15.
Buske, Daniela, et al.. (2015). An Analytic Model for Dispersion of Rocket Exhaust Clouds: Specifications and Analysis in Different Atmospheric Stability Conditions. Journal of Aerospace Technology and Management. 7(3). 374–385. 2 indexed citations
16.
Buske, Daniela, Marco Túllio Vilhena, T. Tirabassi, & B. E. J. Bodmann. (2012). Air Pollution Steady-State Advection-Diffusion Equation: The General Three-Dimensional Solution. Journal of Environmental Protection. 3(9). 1124–1134. 19 indexed citations
17.
Tirabassi, T., et al.. (2011). An Analytical Simple Formula for the Ground Level Concentration from a Point Source. Atmosphere. 2(2). 21–35. 1 indexed citations
18.
Vilhena, Marco T., et al.. (2011). An analytical model with temporal variable eddy diffusivity applied to contaminant dispersion in the atmospheric boundary layer. Physica A Statistical Mechanics and its Applications. 391(8). 2576–2584. 5 indexed citations
20.
Moreira, Davidson Martins, Marco T. Vilhena, T. Tirabassi, Daniela Buske, & Renato M. Cotta. (2005). Near-source atmospheric pollutant dispersion using the new GILTT method. Atmospheric Environment. 39(34). 6289–6294. 55 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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