Valeria Dellarocca

22 total papers · 587 total citations
16 papers, 491 citations indexed

About

Valeria Dellarocca is a scholar working on Condensed Matter Physics, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Valeria Dellarocca has authored 16 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Condensed Matter Physics, 10 papers in Materials Chemistry and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Valeria Dellarocca's work include Superconductivity in MgB2 and Alloys (10 papers), Physics of Superconductivity and Magnetism (7 papers) and Iron-based superconductors research (6 papers). Valeria Dellarocca is often cited by papers focused on Superconductivity in MgB2 and Alloys (10 papers), Physics of Superconductivity and Magnetism (7 papers) and Iron-based superconductors research (6 papers). Valeria Dellarocca collaborates with scholars based in Italy, Russia and Switzerland. Valeria Dellarocca's co-authors include Salvatore Coluccia, Leonardo Marchese, Fernando Rey, Enrica Gianotti, Thomas Maschmeyer, John Meurig Thomas, R. S. Gonnelli, D. Daghero, Arrigo Calzolari and В. А. Степанов and has published in prestigious journals such as Physical Review B, Physical Chemistry Chemical Physics and Journal of Physics and Chemistry of Solids.

In The Last Decade

Valeria Dellarocca

16 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Valeria Dellarocca 339 169 112 108 64 16 491
Daniel Beltrán 248 0.7× 108 0.6× 122 1.1× 99 0.9× 38 0.6× 24 448
Li Zhao 245 0.7× 102 0.6× 222 2.0× 100 0.9× 39 0.6× 25 420
Bokhimi 348 1.0× 60 0.4× 71 0.6× 47 0.4× 59 0.9× 22 476
Evan M. Benbow 143 0.4× 119 0.7× 186 1.7× 75 0.7× 25 0.4× 12 412
V. S. Darshane 362 1.1× 94 0.6× 220 2.0× 65 0.6× 26 0.4× 31 447
M. Filippi 260 0.8× 208 1.2× 152 1.4× 14 0.1× 78 1.2× 25 428
Deena R. Modeshia 362 1.1× 55 0.3× 94 0.8× 51 0.5× 54 0.8× 11 480
Jian Liang Cheong 180 0.5× 58 0.3× 62 0.6× 53 0.5× 28 0.4× 17 474
Andrew J. Martinolich 282 0.8× 42 0.2× 94 0.8× 87 0.8× 17 0.3× 17 475
Dong Gun Oh 335 1.0× 89 0.5× 124 1.1× 44 0.4× 205 3.2× 26 478

Countries citing papers authored by Valeria Dellarocca

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Dellarocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Dellarocca

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

All Works

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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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