Elisabetta Carlini

631 citations
26 papers · 329 indexed · h-index 10
Topics
Mathematical Biology Tumor Growth (8 papers)Stochastic processes and financial applications (7 papers)Advanced Numerical Methods in Computational Mathematics (5 papers)
Partner nations
ItalyFranceAustria

In The Last Decade

Elisabetta Carlini

22 papers receiving 310 citations

Peers

Elisabetta Carlini
Comparison fields: 5 of 64
  • Computational Mechanics 122
  • Applied Mathematics 73
  • Finance 72
  • Numerical Analysis 58
  • Control and Systems Engineering 53
Replace Levon Nurbekyan with:
Levon Nurbekyan United States
Raphael Kruse Germany
Julien Vovelle France
Nicola Bruti‐Liberati Australia
Thomas Müller-Gronbach Germany
Antoine Tambue Norway
Jürgen Potthoff Germany
Wanrong Cao China
Elisabetta Carlini relative to Levon Nurbekyan United States Levon Nurbekyan's profile →
Citations per field
00.5×10.5×
Levon Nurbekyan · 1×
Citations per year

Countries citing papers authored by Elisabetta Carlini

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Carlini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Carlini

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Carlini. A scholar is included among the top collaborators of Elisabetta Carlini 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 Elisabetta Carlini. Elisabetta Carlini 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
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 4
6 8
7 15
8 1
9 0
10 16
11 4
12 36
13 5
14 12
15 9
16 20
17 5
18 13
19 19
20 2

About Elisabetta Carlini

Elisabetta Carlini is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 26 papers that have together received 329 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (8 papers), Stochastic processes and financial applications (7 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). The work is most often cited by research in Numerical Analysis (58 citations), Modeling and Simulation (46 citations) and Finance (72 citations). Elisabetta Carlini has collaborated with scholars based in Italy, France and Austria. Frequent co-authors include Roberto Ferretti, Francisco J. Silva, Maurizio Falcone, Francisco J. Silva, Giovanni Russo, Régis Monneau, Olivier Alvarez, Elisabeth Rouy, Nicolas Forcadel and Marie-Thérèse Wolfram. Their work appears in journals such as Journal of Computational Physics, Materials Science and Engineering A and SIAM Journal on Numerical Analysis.

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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