Pierre Vallobra

42 total papers · 759 total citations
26 papers, 567 citations indexed

About

Pierre Vallobra is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Pierre Vallobra has authored 26 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 15 papers in Electrical and Electronic Engineering and 11 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Pierre Vallobra's work include Magnetic properties of thin films (19 papers), Magnetic Properties and Applications (5 papers) and Magneto-Optical Properties and Applications (5 papers). Pierre Vallobra is often cited by papers focused on Magnetic properties of thin films (19 papers), Magnetic Properties and Applications (5 papers) and Magneto-Optical Properties and Applications (5 papers). Pierre Vallobra collaborates with scholars based in China, France and United States. Pierre Vallobra's co-authors include S. Mangin, M. Hehn, G. Malinowski, Juan‐Carlos Rojas‐Sánchez, Gilles Gaudin, Soong‐Geun Je, Olivier Boulle, Yong Xu, Weisheng Zhao and D. Lacour and has published in prestigious journals such as Advanced Materials, Nano Letters and Applied Physics Letters.

In The Last Decade

Pierre Vallobra

24 papers receiving 560 citations

Author Peers

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

Author Last Decade Papers Cites
Pierre Vallobra 466 274 232 154 140 26 567
A. Conca 600 1.3× 400 1.5× 229 1.0× 183 1.2× 138 1.0× 29 690
Sylvain Eimer 608 1.3× 284 1.0× 259 1.1× 189 1.2× 229 1.6× 30 690
P. Nieves 425 0.9× 253 0.9× 195 0.8× 128 0.8× 143 1.0× 29 558
Yuushou Hirata 585 1.3× 382 1.4× 197 0.8× 114 0.7× 223 1.6× 13 647
Kai Wagner 458 1.0× 213 0.8× 196 0.8× 122 0.8× 155 1.1× 26 565
A. B. Oliveira 442 0.9× 221 0.8× 173 0.7× 107 0.7× 132 0.9× 26 497
Meiyin Yang 493 1.1× 389 1.4× 279 1.2× 220 1.4× 114 0.8× 36 667
Ser Choon Ng 534 1.1× 313 1.1× 169 0.7× 151 1.0× 208 1.5× 15 645
Kees M. Schep 598 1.3× 218 0.8× 212 0.9× 134 0.9× 240 1.7× 23 677
Arnab Bose 449 1.0× 215 0.8× 174 0.8× 179 1.2× 190 1.4× 25 600

Countries citing papers authored by Pierre Vallobra

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Vallobra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Vallobra

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