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.
A new hot-tearing criterion
1999808 citationsM. Rappaz, J.‐M. Drezet et al.profile →
Probabilistic modelling of microstructure formation in solidification processes
1993803 citationsM. Rappaz, Charles‐André GandinActa Metallurgica et Materialiaprofile →
Solidification microstructures and solid-state parallels: Recent developments, future directions
2008597 citationsC. Beckermann, Alain Karma et al.Acta Materialiaprofile →
This map shows the geographic impact of M. Rappaz'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 M. Rappaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rappaz more than expected).
This network shows the impact of papers produced by M. Rappaz. 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 M. Rappaz. The network helps show where M. Rappaz may publish in the future.
Co-authorship network of co-authors of M. Rappaz
This figure shows the co-authorship network connecting the top 25 collaborators of M. Rappaz.
A scholar is included among the top collaborators of M. Rappaz 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 M. Rappaz. M. Rappaz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rappaz, M., et al.. (2006). Modeling of porosity formation in multicomponent alloys in teh presence of several dissolved gases and volatile solute elements. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 143–152.3 indexed citations
8.
Beckermann, C., et al.. (1998). Study of Hot Tearing in Aluminum Alloys using the Ring Mold Test. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 883.6 indexed citations
9.
Drezet, J.‐M., et al.. (1997). Direct Chill Casting of Aluminum Alloys : Ingot Distorsion and Mold Design Optimization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1071.3 indexed citations
10.
Rappaz, M. & Charles‐André Gandin. (1995). Process modelling and microstructure. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 351(1697). 563–577.5 indexed citations
Zou, Juntao, M. Rappaz, Vaughan R. Voller, M. Stachowicz, & Brian G. Thomas. (1991). Experiment and Modeling of Gray Cast Iron Solidification. Part I: Uniformly Solidified Castings. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 335.1 indexed citations
16.
Thévoz, Ph., M. Rappaz, & J.-L. Desbiolles. (1990). 3-MOS: a general FEM code for the prediction of microstructures in castings. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 975.6 indexed citations
17.
Rappaz, M., D. M. Stefanescu, & G. J. Abbaschian. (1987). Modeling of equiaxed primary and eutectic solidification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 133.1 indexed citations
Rappaz, M., J. O. Ramey, L. A. Boatner, & M. M. Abraham. (1982). EPR investigations of Fe/sup 3 +/ in single crystals and powders of the zircon-structure orthophosphates LuPO/sub 4/, YPO/sub 4/, and ScPO/sub 4/.
20.
Rappaz, M., M. M. Abraham, J. O. Ramey, & L. A. Boatner. (1981). EPR characterization of Gd3+ in the monazite-type rare-earth orthophosphates LaPO4, CePO4, PrPO4, NdPO4, SmPO4 and EuPO4. Infoscience (Ecole Polytechnique Fédérale de Lausanne).1 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.