J. M. Sicilian

14 papers receiving 664 citations

Hit Papers

A balanced-force algorithm for continuous and sharp inter...20052026201220192005200400600

Peers

J. M. Sicilian
Comparison fields: 5 of 48
  • Computational Mechanics 637
  • Surfaces, Coatings and Films 124
  • Biomedical Engineering 98
  • Ocean Engineering 89
  • Electrical and Electronic Engineering 61
Replace Matthew W. Williams with:
Matthew W. Williams United States
E. D. Dendy United States
Pascal Ray France
Néstor Balcázar Spain
Jean-Luc Estivalèzes France
Nathan Speirs United States
J. Qian United States
Fabien Evrard Germany
Mark Owkes United States
Fabrício S. Sousa Brazil
J. M. Sicilian relative to Matthew W. Williams United States Matthew W. Williams's profile →
Citations per field
00.5×1.5×
Matthew W. Williams · 1×
Citations per year

Countries citing papers authored by J. M. Sicilian

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Sicilian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Sicilian. 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 J. M. Sicilian. The network helps show where J. M. Sicilian may publish in the future.

Co-authorship network of co-authors of J. M. Sicilian

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 12
2 2
3
A balanced-force algorithm for continuous and sharp interfacial surface tension models within a volume tracking frameworkbreakdown →
600
4 5
5 55
6 1
7
A benchmark for inviscid incompressible flow in spinning containers
1
8
Comparison of FLOW-3D calculations with very large amplitude slosh data
9
9
Zero-gravity slosh analysis
3
10
Numerical simulation of propellant sloshing for spacecraft
2
11 5
12 1
13 1
14 1

About J. M. Sicilian

J. M. Sicilian is a scholar working on Computational Mechanics, Earth-Surface Processes and Surfaces, Coatings and Films, having authored 14 papers that have together received 698 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (6 papers), Lattice Boltzmann Simulation Studies (3 papers) and Fluid Dynamics Simulations and Interactions (3 papers). The work is most often cited by research in Computational Mechanics (637 citations), Surfaces, Coatings and Films (124 citations) and Computer Graphics and Computer-Aided Design (29 citations). J. M. Sicilian has collaborated with scholars based in United States and France. Frequent co-authors include Douglas B. Kothe, Marianne Francois, Matthew W. Williams, E. D. Dendy, Sharen J. Cummins, Markus Bussmann, C.W. Hirt, Roland Glowinski, Alexandre Caboussat and D.B. Kothe. Their work appears in journals such as Journal of Computational Physics, Mathematical and Computer Modelling and Nuclear Science and Engineering.

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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