M. Salvatores

3.9k total citations
164 papers, 2.6k citations indexed

About

M. Salvatores is a scholar working on Aerospace Engineering, Materials Chemistry and Radiation. According to data from OpenAlex, M. Salvatores has authored 164 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Aerospace Engineering, 92 papers in Materials Chemistry and 65 papers in Radiation. Recurrent topics in M. Salvatores's work include Nuclear reactor physics and engineering (134 papers), Nuclear Materials and Properties (66 papers) and Nuclear Physics and Applications (63 papers). M. Salvatores is often cited by papers focused on Nuclear reactor physics and engineering (134 papers), Nuclear Materials and Properties (66 papers) and Nuclear Physics and Applications (63 papers). M. Salvatores collaborates with scholars based in France, United States and Italy. M. Salvatores's co-authors include G. Palmiotti, I. Slessarev, G. Aliberti, G.S. Bauer, A. Gandini, T. A. Taiwo, J. Tommasi, I. Kodeli, Robert Hill and Mihai Anitescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and Sustainability.

In The Last Decade

M. Salvatores

158 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Salvatores France 22 1.9k 1.6k 1.2k 473 245 164 2.6k
G. Palmiotti United States 20 1.5k 0.8× 1.1k 0.7× 866 0.7× 259 0.5× 216 0.9× 116 1.9k
E. Merle France 18 1.4k 0.7× 1.6k 1.0× 399 0.3× 258 0.5× 41 0.2× 72 2.3k
Hiroshi Sekimoto Japan 20 1.6k 0.9× 1.6k 1.0× 591 0.5× 50 0.1× 61 0.2× 230 2.0k
V. Ignatiev Russia 16 685 0.4× 1.1k 0.6× 139 0.1× 225 0.5× 47 0.2× 37 1.5k
Jan Leen Kloosterman Netherlands 18 945 0.5× 1.1k 0.6× 289 0.2× 140 0.3× 19 0.1× 84 1.7k
O. Méplan France 13 681 0.4× 634 0.4× 348 0.3× 104 0.2× 103 0.4× 64 1.0k
R.K. Sinha India 17 655 0.3× 401 0.2× 124 0.1× 133 0.3× 43 0.2× 50 1.1k
Masaki Saito Japan 17 663 0.3× 640 0.4× 290 0.3× 57 0.1× 84 0.3× 139 1.0k
M. Glugla Germany 22 501 0.3× 1.4k 0.8× 170 0.1× 59 0.1× 406 1.7× 113 1.7k
M. Pelliccioni Italy 21 225 0.1× 442 0.3× 1.1k 1.0× 101 0.2× 123 0.5× 86 2.1k

Countries citing papers authored by M. Salvatores

Since Specialization
Citations

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

Fields of papers citing papers by M. Salvatores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Salvatores

This figure shows the co-authorship network connecting the top 25 collaborators of M. Salvatores. A scholar is included among the top collaborators of M. Salvatores 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. Salvatores. M. Salvatores 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
1.
Palmiotti, G., et al.. (2017). New approaches to provide feedback from nuclear and covariance data adjustment for effective improvement of evaluated nuclear data files. SHILAP Revista de lepidopterología. 11 indexed citations
2.
Palmiotti, G. & M. Salvatores. (2011). Impact of Nuclear Data Uncertainties on Innovative Fast Reactors and Required Target Accuracies. Journal of Nuclear Science and Technology. 48(4). 612–619. 15 indexed citations
3.
Palmiotti, G., et al.. (2009). Innovative Fast Reactors: Impact of Fuel Composition on Reactivity Coefficients. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 9. 282–3. 6 indexed citations
4.
Salvatores, M., G. Aliberti, & G. Palmiotti. (2007). Nuclear data validation and fast reactor design performances uncertainty reduction, invited. Transactions of the American Nuclear Society. 96. 519–522. 9 indexed citations
5.
Aliberti, G., I. Kodeli, G. Palmiotti, & M. Salvatores. (2007). Fission Spectrum Related Uncertainties. University of North Texas Digital Library (University of North Texas). 4 indexed citations
6.
Aliberti, G., G. Palmiotti, & M. Salvatores. (2006). Representativity studies for sodium- and gas-cooled reactors.. Transactions of the American Nuclear Society. 95(2006). 774–777. 3 indexed citations
7.
Carta, M., N. Burgio, A. D’Angelo, et al.. (2006). Electron versus proton accelerator driven sub-critical system performance using TRIGA reactors at power. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
8.
Aliberti, G., et al.. (2005). Sensitivity and Uncertainty Assessment of Coolant Void Reactivity Coefficient for Liquid-Salt-Cooled VHTR. Transactions of the American Nuclear Society. 93(1). 972–974. 2 indexed citations
9.
Salvatores, M., et al.. (2002). The Physics of Subcritical Multiplying Systems. Journal of Nuclear Science and Technology. 39(6). 673–686. 75 indexed citations
10.
Gandini, A., M. Salvatores, & I. Slessarev. (2000). Coupling of reactor power with accelerator current in ADS systems. Annals of Nuclear Energy. 27(13). 1147–1165. 10 indexed citations
11.
Palmiotti, G., M. Salvatores, & Robert Hill. (1994). Sensitivity, Uncertainty Assessment, and Target Accuracies Related to Radiotoxicity Evaluation. Nuclear Science and Engineering. 117(4). 239–250. 10 indexed citations
12.
Gandini, A., G. Palmiotti, & M. Salvatores. (1985). Fast reactor analysis by means of the equivalent generalized perturbation theory. Transactions of the American Nuclear Society. 50. 1 indexed citations
13.
Salvatores, M., et al.. (1983). Experimental validation of the breeding performance of the Phenix Reactor. Transactions of the American Nuclear Society. 45. 2 indexed citations
14.
Salvatores, M., et al.. (1980). Basic Nuclear Data and the Fast Reactor Shielding Design Formulaire Propane Do. 190. 1 indexed citations
15.
Weisbin, C.R., E.M. Oblow, J.H. Marable, & M. Salvatores. (1977). Data adjustment: a cautiously optimistic view for the improvement of design performance calculations and data assessment. Transactions of the American Nuclear Society. 27. 1 indexed citations
16.
Salvatores, M., et al.. (1977). Data adjustments for fast reactor design. Transactions of the American Nuclear Society. 27. 5 indexed citations
17.
Palmiotti, G., et al.. (1977). Burnup Calculations with Time-Dependent Generalized Perturbation Theory. Nuclear Science and Engineering. 62(2). 304–309. 25 indexed citations
18.
Gandini, A., et al.. (1977). New Developments in Generalized Perturbation Methods in the Nuclide Field. Nuclear Science and Engineering. 62(2). 339–345. 18 indexed citations
19.
Salvatores, M., et al.. (1976). A study on the sodium void reactivity coefficient in the PEC fast material test reactor.. 23(3). 160–177. 1 indexed citations
20.
Robinson, William R., et al.. (1972). COMPARISON OF ENDF/B VERSIONS I, II, AND PRELIMINARY III.. Transactions of the American Nuclear Society. 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.

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