V. Vildosola

61 total papers · 1.3k total citations
41 papers, 972 citations indexed

About

V. Vildosola is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, V. Vildosola has authored 41 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Condensed Matter Physics, 28 papers in Electronic, Optical and Magnetic Materials and 11 papers in Materials Chemistry. Recurrent topics in V. Vildosola's work include Magnetic and transport properties of perovskites and related materials (21 papers), Rare-earth and actinide compounds (20 papers) and Advanced Condensed Matter Physics (10 papers). V. Vildosola is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (21 papers), Rare-earth and actinide compounds (20 papers) and Advanced Condensed Matter Physics (10 papers). V. Vildosola collaborates with scholars based in Argentina, France and Germany. V. Vildosola's co-authors include Leonid V. Pourovskii, Silke Biermann, Antoine Georges, A. M. Llois, Markus Aichhorn, Olivier Parcollet, Michel Ferrero, Takashi Miyake, Ryotaro Arita and Jernej Mravlje and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

V. Vildosola

39 papers receiving 960 citations

Author Peers

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

Author Last Decade Papers Cites
V. Vildosola 682 654 269 152 131 41 972
Z. V. Pchelkina 901 1.3× 850 1.3× 333 1.2× 145 1.0× 74 0.6× 59 1.2k
Toshinori Ozaki 833 1.2× 774 1.2× 278 1.0× 98 0.6× 202 1.5× 84 1.2k
A. Maisuradze 874 1.3× 991 1.5× 190 0.7× 153 1.0× 69 0.5× 58 1.2k
Patricia Alireza 894 1.3× 791 1.2× 221 0.8× 90 0.6× 136 1.0× 32 1.1k
Keith M. Taddei 669 1.0× 514 0.8× 275 1.0× 109 0.7× 107 0.8× 61 942
Xiyu Zhu 806 1.2× 804 1.2× 318 1.2× 227 1.5× 100 0.8× 61 1.2k
Miao Gao 497 0.7× 604 0.9× 559 2.1× 121 0.8× 75 0.6× 49 1.1k
S. L. Skornyakov 659 1.0× 684 1.0× 238 0.9× 152 1.0× 63 0.5× 41 926
Sahana Rößler 879 1.3× 814 1.2× 369 1.4× 228 1.5× 53 0.4× 46 1.1k
N. Qureshi 642 0.9× 591 0.9× 233 0.9× 122 0.8× 75 0.6× 76 881

Countries citing papers authored by V. Vildosola

Since Specialization
Citations

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

Fields of papers citing papers by V. Vildosola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Vildosola

This figure shows the co-authorship network connecting the top 25 collaborators of V. Vildosola. A scholar is included among the top collaborators of V. Vildosola 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 V. Vildosola. V. Vildosola 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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