Yves Noat

54 total papers · 1.7k total citations
35 papers, 1.4k citations indexed

About

Yves Noat is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yves Noat has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Condensed Matter Physics, 19 papers in Electronic, Optical and Magnetic Materials and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yves Noat's work include Physics of Superconductivity and Magnetism (27 papers), Iron-based superconductors research (17 papers) and Superconductivity in MgB2 and Alloys (13 papers). Yves Noat is often cited by papers focused on Physics of Superconductivity and Magnetism (27 papers), Iron-based superconductors research (17 papers) and Superconductivity in MgB2 and Alloys (13 papers). Yves Noat collaborates with scholars based in France, Netherlands and Japan. Yves Noat's co-authors include J. M. van Ruitenbeek, R. H. M. Smit, Marc C. van Hemert, Carlos Untiedt, N. D. Lang, W. Sacks, Dimitri Roditchev, Tristan Cren, F. Debontridder and A. I. Yanson and has published in prestigious journals such as Nature, Physical Review Letters and Physical review. B, Condensed matter.

In The Last Decade

Yves Noat

33 papers receiving 1.3k citations

Hit Papers

Measurement of the conduc... 2002 2026 2010 2018 2002 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Yves Noat 909 902 366 293 199 35 1.4k
P. E. Kornilovitch 708 0.8× 504 0.6× 669 1.8× 231 0.8× 369 1.9× 60 1.3k
I. K. Yanson 959 1.1× 760 0.8× 637 1.7× 308 1.1× 363 1.8× 62 1.6k
J. K. Viljas 969 1.1× 1.1k 1.2× 114 0.3× 517 1.8× 89 0.4× 29 1.5k
K. von Klitzing 1.2k 1.4× 706 0.8× 427 1.2× 388 1.3× 82 0.4× 66 1.6k
Andrey Danilov 874 1.0× 1.2k 1.3× 144 0.4× 503 1.7× 145 0.7× 56 1.7k
Aarnoud L. Roest 545 0.6× 635 0.7× 201 0.5× 584 2.0× 94 0.5× 22 1.2k
A. Bagrets 891 1.0× 1.1k 1.2× 93 0.3× 509 1.7× 295 1.5× 29 1.4k
B. Lägel 561 0.6× 712 0.8× 108 0.3× 248 0.8× 226 1.1× 43 1.1k
Diana Dulić 614 0.7× 1.1k 1.2× 189 0.5× 592 2.0× 162 0.8× 35 1.6k
Dmitry A. Ryndyk 640 0.7× 648 0.7× 226 0.6× 409 1.4× 124 0.6× 64 1.2k

Countries citing papers authored by Yves Noat

Since Specialization
Citations

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

Fields of papers citing papers by Yves Noat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Noat

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026