Lucilla Corrias

869 total citations
12 papers, 551 citations indexed

About

Lucilla Corrias is a scholar working on Modeling and Simulation, Molecular Biology and Finance. According to data from OpenAlex, Lucilla Corrias has authored 12 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 5 papers in Molecular Biology and 4 papers in Finance. Recurrent topics in Lucilla Corrias's work include Mathematical Biology Tumor Growth (10 papers), Gene Regulatory Network Analysis (5 papers) and Stochastic processes and financial applications (4 papers). Lucilla Corrias is often cited by papers focused on Mathematical Biology Tumor Growth (10 papers), Gene Regulatory Network Analysis (5 papers) and Stochastic processes and financial applications (4 papers). Lucilla Corrias collaborates with scholars based in France, Italy and South Korea. Lucilla Corrias's co-authors include Benoı̂t Perthame, Hatem Zaag, Vincent Calvez, Miguel Escobedo, Maurizio Falcone, Roberto Natalini, Yong-Jung Kim, Yves Achdou and Fabio Camilli and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Mathematical and Computer Modelling.

In The Last Decade

Lucilla Corrias

12 papers receiving 504 citations

Peers

Lucilla Corrias
Comparison fields: 5 of 44
  • Modeling and Simulation 467
  • Molecular Biology 226
  • Computational Theory and Mathematics 157
  • Cell Biology 151
  • Mathematical Physics 84
Replace Yoshie Sugiyama with:
Yoshie Sugiyama Japan
Takasi Senba Japan
Jiashan Zheng China
Toshitaka Nagai Japan
Tomasz Cieślak Poland
Elio Espejo Japan
Cristian Morales-Rodrigo Spain
Jihoon Lee South Korea
Tohru Tsujikawa Japan
Janet Dyson Italy
Yoshie Sugiyama Japan View profile →
Citations per field, relative to Lucilla Corrias
Lucilla Corrias · 1×
Citations per year, relative to Lucilla Corrias
Lucilla Corrias · 1×

Countries citing papers authored by Lucilla Corrias

Since Specialization
Citations

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

Fields of papers citing papers by Lucilla Corrias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucilla Corrias

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 6
2 26
3 1
4 46
5 4
6 40
7 32
8
$L^p$ and $L^\infty$ a priori estimates for some chemotaxis models and applications to the Cauchy problem (Dynamics of spatio - temporal patterns for the system of reaction - diffusion equations)
10
9 239
10 84
11 39
12 24

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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