Ester Gabetta

569 citations
27 papers · 342 · h-index 10

Impact in

Papers in

Ester Gabetta

26 papers receiving 307 citations

Peers

Ester Gabetta
Comparison fields: 5 of 41
  • Applied Mathematics 246
  • Statistical and Nonlinear Physics 128
  • Mathematical Physics 81
  • Modeling and Simulation 39
  • Computational Mechanics 110
Replace Maria C. Carvalho with:
Maria C. Carvalho United States
S. Caprino Italy
Paolo Buttà Italy
V. I. Gerasimenko Ukraine
D. Ya. Petrina Czechia
Nicolas Dirr United Kingdom
Ada Pulvirenti Italy
Maria G. Reznikoff United States
Matías G. Delgadino United States
Simone Di Marino Italy
Ester Gabetta relative to Maria C. Carvalho United States Maria C. Carvalho's profile →
Citations per field
00.5×1.6×
Maria C. Carvalho · 1×
Citations per year

Countries citing papers authored by Ester Gabetta

Since Specialization
Citations

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

Fields of papers citing papers by Ester Gabetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ester Gabetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ester Gabetta Line = papers co-authored together Ester Gabetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199778
2 199966
3 200045
4 201019
5 200916
6 200414
7 200613
8 200910
9 20079
10 20089
11 20018
12 20077
13 19957
14 19946
15 19996
16 20006
17 19925
18 19864
19 19953
20 19963

About Ester Gabetta

Ester Gabetta is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics, Computational Mechanics, Mathematical Physics and Statistics and Probability, having authored 27 papers that have together received 342 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (18 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Markov Chains and Monte Carlo Methods (5 papers), Numerical methods in inverse problems (5 papers), Statistical Mechanics and Entropy (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Mathematical Biology Tumor Growth (3 papers) and Radiative Heat Transfer Studies (2 papers). The work is most often cited by research in Applied Mathematics (246 citations), Statistical and Nonlinear Physics (128 citations), Mathematical Physics (81 citations), Modeling and Simulation (39 citations) and Computational Mechanics (110 citations). Ester Gabetta has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Giuseppe Toscani, Eric A. Carlen, Lorenzo Pareschi, Eugenio Regazzini, Maria C. Carvalho, Carlo Cercignani, Benoı̂t Perthame, Peter A. Markowich, A. V. Bobylev and Andreas Unterreiter. Their work appears in journals such as Mathematical Models and Methods in Applied Sciences, Journal of Applied Probability, Journal of Statistical Physics, Applied Mathematics Letters and Mathematical Methods in the Applied Sciences.

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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