Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Long-Range Incommensurate Charge Fluctuations in (Y,Nd)Ba 2 Cu 3 O 6+x
2012772 citationsG. Ghiringhelli, M. Le Tacon et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by G. Ghiringhelli
Since
Specialization
Citations
This map shows the geographic impact of G. Ghiringhelli'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 G. Ghiringhelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ghiringhelli more than expected).
This network shows the impact of papers produced by G. Ghiringhelli. 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 G. Ghiringhelli. The network helps show where G. Ghiringhelli may publish in the future.
Co-authorship network of co-authors of G. Ghiringhelli
This figure shows the co-authorship network connecting the top 25 collaborators of G. Ghiringhelli.
A scholar is included among the top collaborators of G. Ghiringhelli 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 G. Ghiringhelli. G. Ghiringhelli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Seibold, G., Riccardo Arpaia, Y. Y. Peng, et al.. (2019). Marginal Fermi Liquid behaviour from charge density fluctuations in cuprates. arXiv (Cornell University).2 indexed citations
Kuo, Cheng‐Tai, G. Ghiringhelli, Ping Yang, et al.. (2017). Determining the depth distribution of RIXS excitations through standing-wave excitation. Bulletin of the American Physical Society. 2017.1 indexed citations
Hawthorn, D. G., Andrew Achkar, Ronny Sutarto, et al.. (2013). Distinct Charge Orders in the Planes and Chains of Ortho-III-Ordered YBa2Cu3O6 identified by Resonant elas- tic x-ray scattering. Bulletin of the American Physical Society. 2013.
12.
Achkar, Andrew, Ronny Sutarto, Alex Frañó, et al.. (2012). Distinct charge orders in the planes and chains of ortho-III ordered YBa$_2$Cu$_3$O$_{6+\delta}$ identified by resonant elastic x-ray scattering. arXiv (Cornell University).3 indexed citations
13.
Galdi, Alice, C. Aruta, P. Orgiani, et al.. (2011). 非化学量論La x MnO 3-δ 薄膜中でMn 2+ イオンにより駆動される磁気特性および軌道異方性. Physical Review B. 83(6). 1–64418.9 indexed citations
14.
Guarise, M., B. Dalla Piazza, M. Moretti Sala, et al.. (2010). 共鳴X線散乱を使う二次元反強磁性Sr 2 CuO 2 Cl 2 における磁気励起の測定:拡張相互作用の証拠. Physical Review Letters. 105(15). 1–157006.16 indexed citations
Schmitt, Thorsten, V. N. Strocov, Thomas Schmidt, et al.. (2007). The ADRESS project at the Swiss Light Source: A beamline for RIXS and ARPES studies on correlated and nanostructured materials. Journal of Electron Spectroscopy and Related Phenomena. 156. 69.1 indexed citations
Tagliaferri, A., L. Braicovich, G. Ghiringhelli, et al.. (1999). Many-body effects in non-resonant and resonant 4p spectroscopies of Gd metal. Physical Review B. 60. 8–8.11 indexed citations
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.