Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Two-phase flow instabilities: A review
2014309 citationsAlejandro Clausse et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Alejandro Clausse
Since
Specialization
Citations
This map shows the geographic impact of Alejandro Clausse'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 Alejandro Clausse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Clausse more than expected).
Fields of papers citing papers by Alejandro Clausse
This network shows the impact of papers produced by Alejandro Clausse. 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 Alejandro Clausse. The network helps show where Alejandro Clausse may publish in the future.
Co-authorship network of co-authors of Alejandro Clausse
This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Clausse.
A scholar is included among the top collaborators of Alejandro Clausse 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 Alejandro Clausse. Alejandro Clausse is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Clausse, Alejandro, et al.. (2013). An improved immersed-boundary algorithm for fluid-solid interaction in Lattice-Boltzmann simulations. Latin American Applied Research - An international journal. 43(2). 181–188.3 indexed citations
6.
Silin, N., et al.. (2010). Polar profile of the wall pressure on cylindrical bars in yawed gas flow. Latin American Applied Research - An international journal. 40(3). 287–294.
7.
Vénere, M., et al.. (2010). Interactive remeshing for navigation over landscape models. Latin American Applied Research - An international journal. 40(4). 311–315.1 indexed citations
Soto, Leopoldo, et al.. (2003). Plasma motion observations in a very small plasma focus in the limit of low energy. Revista Mexicana de Física. 49(2). 140–142.1 indexed citations
15.
Soto, Leopoldo, et al.. (2002). Plasma focus in the limit of low energy. Revista Mexicana de Física. 48(3). 142–144.2 indexed citations
16.
Zambra, Marcelo, et al.. (2002). Design and construction of a compact module of surfaces treatment by thermal shock. Revista Mexicana de Física. 48(3). 148–150.
17.
Vénere, M., et al.. (2001). Tomographic system based on Plasma Focus X-rays. Nukleonika.9 indexed citations
18.
Moreno, C., et al.. (2001). Ultrafast X-ray introspective imaging of metallic objects using a Plasma Focus. Nukleonika.9 indexed citations
19.
Clausse, Alejandro, et al.. (1996). A simple delay model for the dynamics of boiling channels. Latin American Applied Research - An international journal. 26. 185–191.1 indexed citations
20.
Clausse, Alejandro & Pablo M. Carrica. (1994). A mathematical model of local boiling nonlinear dynamics and crisis. Latin American Applied Research - An international journal. 24(2). 77–87.2 indexed citations
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.