Giancarlo Jug

84 total papers · 1.1k total citations
56 papers, 901 citations indexed

About

Giancarlo Jug is a scholar working on Condensed Matter Physics, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Giancarlo Jug has authored 56 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Condensed Matter Physics, 25 papers in Materials Chemistry and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Giancarlo Jug's work include Theoretical and Computational Physics (38 papers), Material Dynamics and Properties (18 papers) and Physics of Superconductivity and Magnetism (12 papers). Giancarlo Jug is often cited by papers focused on Theoretical and Computational Physics (38 papers), Material Dynamics and Properties (18 papers) and Physics of Superconductivity and Magnetism (12 papers). Giancarlo Jug collaborates with scholars based in Italy, United Kingdom and Germany. Giancarlo Jug's co-authors include Erio Tosatti, A. Loidl, Y. Tokura, Daniel Braak, J. Deisenhofer, H.‐A. Krug von Nidda, T. Kimura, J. Hemberger, V. A. Ivanshin and A. M. Balbashov and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

Giancarlo Jug

53 papers receiving 881 citations

Author Peers

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

Author Last Decade Papers Cites
Giancarlo Jug 696 309 296 267 114 56 901
S. Bustingorry 618 0.9× 319 1.0× 281 0.9× 514 1.9× 98 0.9× 59 927
N W Dalton 554 0.8× 126 0.4× 276 0.9× 410 1.5× 99 0.9× 27 883
A. Holz 251 0.4× 130 0.4× 331 1.1× 258 1.0× 54 0.5× 90 740
A. Tröster 247 0.4× 113 0.4× 464 1.6× 164 0.6× 61 0.5× 52 742
Prabodh Shukla 525 0.8× 156 0.5× 182 0.6× 269 1.0× 151 1.3× 52 726
S. Stepanow 518 0.7× 50 0.2× 473 1.6× 181 0.7× 151 1.3× 57 843
Bernhard Baumgartner 221 0.3× 233 0.8× 259 0.9× 399 1.5× 75 0.7× 42 1.0k
B. V. Costa 576 0.8× 78 0.3× 163 0.6× 510 1.9× 37 0.3× 86 799
J. P. Van Dyke 370 0.5× 101 0.3× 332 1.1× 630 2.4× 39 0.3× 28 1.0k
G. Uimin 748 1.1× 214 0.7× 155 0.5× 431 1.6× 29 0.3× 55 892

Countries citing papers authored by Giancarlo Jug

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Jug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Jug

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