Magali Putero

77 total papers · 839 total citations
53 papers, 699 citations indexed

About

Magali Putero is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Magali Putero has authored 53 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 27 papers in Materials Chemistry and 23 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Magali Putero's work include Phase-change materials and chalcogenides (19 papers), Semiconductor materials and interfaces (15 papers) and Chalcogenide Semiconductor Thin Films (12 papers). Magali Putero is often cited by papers focused on Phase-change materials and chalcogenides (19 papers), Semiconductor materials and interfaces (15 papers) and Chalcogenide Semiconductor Thin Films (12 papers). Magali Putero collaborates with scholars based in France, Germany and United States. Magali Putero's co-authors include Marie‐Vanessa Coulet, Christophe Müller, Thomas A. Jung, A. Scheybal, F. Nolting, T. Ramsvik, Simone Raoux, Carsten Baehtz, D. Mangelinck and David Grosso and has published in prestigious journals such as Applied Physics Letters, Advanced Functional Materials and Acta Materialia.

In The Last Decade

Magali Putero

52 papers receiving 690 citations

Author Peers

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

Author Last Decade Papers Cites
Magali Putero 472 379 251 202 113 53 699
Wei Zhang 453 1.0× 451 1.2× 123 0.5× 337 1.7× 79 0.7× 56 798
S. Yu. Turishchev 367 0.8× 443 1.2× 115 0.5× 194 1.0× 60 0.5× 78 624
Tetsuya Homma 456 1.0× 253 0.7× 211 0.8× 80 0.4× 205 1.8× 58 768
Jan Mistrı́k 493 1.0× 438 1.2× 204 0.8× 179 0.9× 182 1.6× 64 891
Marion Kelsch 540 1.1× 368 1.0× 199 0.8× 151 0.7× 121 1.1× 38 864
H.S. Reehal 549 1.2× 526 1.4× 154 0.6× 254 1.3× 109 1.0× 54 866
G.‐R. Yang 574 1.2× 261 0.7× 117 0.5× 230 1.1× 247 2.2× 61 845
Hayato Sone 686 1.5× 520 1.4× 190 0.8× 275 1.4× 145 1.3× 65 883
M. S. Leung 282 0.6× 242 0.6× 206 0.8× 133 0.7× 61 0.5× 62 652
Amit Pratap Singh 354 0.8× 261 0.7× 106 0.4× 186 0.9× 170 1.5× 49 692

Countries citing papers authored by Magali Putero

Since Specialization
Citations

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

Fields of papers citing papers by Magali Putero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Putero

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