Ivan Lunati

2.2k total citations
76 papers, 1.8k citations indexed

About

Ivan Lunati is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Ocean Engineering. According to data from OpenAlex, Ivan Lunati has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 28 papers in Computational Theory and Mathematics and 23 papers in Ocean Engineering. Recurrent topics in Ivan Lunati's work include Advanced Mathematical Modeling in Engineering (28 papers), Advanced Numerical Methods in Computational Mathematics (25 papers) and Groundwater flow and contamination studies (15 papers). Ivan Lunati is often cited by papers focused on Advanced Mathematical Modeling in Engineering (28 papers), Advanced Numerical Methods in Computational Mathematics (25 papers) and Groundwater flow and contamination studies (15 papers). Ivan Lunati collaborates with scholars based in Switzerland, United States and United Kingdom. Ivan Lunati's co-authors include Patrick Jenny, Andrea Ferrari, M. B. Parlange, Seong H. Lee, Francesco Ciocca, Tanguy Le Borgne, Joaquín Jiménez‐Martínez, Yves Méheust, Nick van de Giesen and Wolfgang Kinzelbach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

Ivan Lunati

74 papers receiving 1.7k citations

Peers

Ivan Lunati
Comparison fields: 5 of 91
  • Computational Mechanics 866
  • Computational Theory and Mathematics 632
  • Ocean Engineering 619
  • Environmental Engineering 616
  • Mechanics of Materials 533
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Bernd Flemisch Germany
C.J. van Duijn Netherlands
Ilenia Battiato United States
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Anis Younès France
Joshua A. White United States
Nicola Castelletto United States
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Citations per field, relative to Ivan Lunati
Ivan Lunati · 1×
Citations per year, relative to Ivan Lunati
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Countries citing papers authored by Ivan Lunati

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lunati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Lunati

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Lunati. A scholar is included among the top collaborators of Ivan Lunati 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 Ivan Lunati. Ivan Lunati 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 3
6 3
7 3
8 3
9 5
10 2
11 8
12 5
13 2
14 5
15 92
16
An adaptive iterative Multiscale Finite Volume method to simulate density- driven flow instabilities
1
17
An efficient multiscale finite-volume method for modeling density driven flow in porous media
1
18 1
19 25
20
Laboratory visualization of two-phase flow in a natural fracture by neutron tomography
3

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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