H.‐J. Grafe

1.7k total citations
77 papers, 1.3k citations indexed

About

H.‐J. Grafe is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Accounting. According to data from OpenAlex, H.‐J. Grafe has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Condensed Matter Physics, 56 papers in Electronic, Optical and Magnetic Materials and 14 papers in Accounting. Recurrent topics in H.‐J. Grafe's work include Iron-based superconductors research (34 papers), Physics of Superconductivity and Magnetism (34 papers) and Advanced Condensed Matter Physics (29 papers). H.‐J. Grafe is often cited by papers focused on Iron-based superconductors research (34 papers), Physics of Superconductivity and Magnetism (34 papers) and Advanced Condensed Matter Physics (29 papers). H.‐J. Grafe collaborates with scholars based in Germany, Russia and United States. H.‐J. Grafe's co-authors include B. Büchner, Guillaume Lang, G. Behr, C. Heß, R. Klingeler, S. Wurmehl, Franziska Hammerath, N. J. Curro, Dalibor Paar and J. Werner and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review B.

In The Last Decade

H.‐J. Grafe

74 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H.‐J. Grafe Germany 20 966 848 257 186 123 77 1.3k
R. A. Ewings United Kingdom 22 1.0k 1.1× 917 1.1× 152 0.6× 362 1.9× 114 0.9× 61 1.5k
Yu. G. Pashkevich Ukraine 19 894 0.9× 784 0.9× 127 0.5× 362 1.9× 125 1.0× 105 1.2k
V. Vildosola Argentina 13 690 0.7× 663 0.8× 132 0.5× 275 1.5× 84 0.7× 41 989
Keith M. Taddei United States 18 672 0.7× 520 0.6× 107 0.4× 285 1.5× 86 0.7× 61 963
Xiyu Zhu China 15 746 0.8× 505 0.6× 311 1.2× 111 0.6× 79 0.6× 29 1.1k
Yusuke Nakai Japan 20 761 0.8× 656 0.8× 165 0.6× 369 2.0× 80 0.7× 56 1.2k
Keiki Takeda Japan 16 900 0.9× 764 0.9× 164 0.6× 256 1.4× 70 0.6× 75 1.2k
S.-H. Baek United States 18 989 1.0× 1.0k 1.2× 171 0.7× 172 0.9× 107 0.9× 53 1.3k
Toshinori Ozaki Japan 20 837 0.9× 784 0.9× 202 0.8× 278 1.5× 93 0.8× 84 1.2k
Z. V. Pchelkina Russia 18 905 0.9× 854 1.0× 74 0.3× 338 1.8× 93 0.8× 59 1.2k

Countries citing papers authored by H.‐J. Grafe

Since Specialization
Citations

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

Fields of papers citing papers by H.‐J. Grafe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.‐J. Grafe. 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 H.‐J. Grafe. The network helps show where H.‐J. Grafe may publish in the future.

Co-authorship network of co-authors of H.‐J. Grafe

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

All Works

20 of 20 papers shown
1.
Hammerath, Franziska, A. P. Dioguardi, Martin Valldor, et al.. (2024). Comparison of local structure of CrCl3 bulk and nanocrystals above and below the structural phase transition. Physical review. B.. 110(2).
2.
Dioguardi, A. P., Mihael S. Grbić, Genda Gu, et al.. (2023). Uniaxial stress study of spin and charge stripes in La1.875Ba0.125CuO4 by La139 NMR and Cu63 NQR. Physical review. B.. 108(20). 4 indexed citations
3.
Lou, Rui, H.‐J. Grafe, Maxim Krivenkov, et al.. (2023). Suppression of nematicity by tensile strain in multilayer FeSe/SrTiO3 films. Physical Review Research. 5(4). 1 indexed citations
4.
Scaravaggi, Francesco, A. P. Dioguardi, Xiaochen Hong, et al.. (2021). Revisiting the phase diagram of LaFe1xCoxAsO in single crystals by thermodynamic methods. Physical review. B.. 103(17). 7 indexed citations
5.
Dioguardi, A. P., et al.. (2021). The normalized limit of detection in NMR spectroscopy. Journal of Magnetic Resonance. 332. 107077–107077. 13 indexed citations
6.
Hong, Xiaochen, Federico Caglieris, S. Wurmehl, et al.. (2020). Evolution of the Nematic Susceptibility in LaFe1xCoxAsO. Physical Review Letters. 125(6). 67001–67001. 15 indexed citations
7.
Dioguardi, A. P., Saicharan Aswartham, Mihai Sturza, et al.. (2020). Quasi-two-dimensional magnetic correlations inNi2P2S6probed byP31NMR. Physical review. B.. 102(6). 14 indexed citations
8.
Valldor, Martin, Daria Mikhailova, Lars Giebeler, et al.. (2018). Synthesis, Characterization, and Electrochemistry of Layered Chalcogenides LiCuCh (Ch = Se, Te). Inorganic Chemistry. 57(12). 7201–7207. 3 indexed citations
9.
Hammerath, Franziska, Sirko Kamusella, Giacomo Prando, et al.. (2018). Impact of concomitant Y and Mn substitution on superconductivity in La1yYyFe1xMnxAsO0.89F0.11. Physical review. B.. 97(5). 5 indexed citations
10.
Hammerath, Franziska, R. Kraus, T. Ritschel, et al.. (2017). Effect of different in-chain impurities on the magnetic properties of the spin chain compound SrCuO2 probed by NMR. Physical review. B.. 96(11). 9 indexed citations
11.
Grafe, H.‐J., Satoshi Nishimoto, E. Vavilova, et al.. (2017). Signatures of a magnetic field-induced unconventional nematic liquid in the frustrated and anisotropic spin-chain cuprate LiCuSbO4. Scientific Reports. 7(1). 6720–6720. 25 indexed citations
12.
Dioguardi, A. P., Kent Shirer, Matthew Lawson, et al.. (2016). NMR Evidence for Inhomogeneous Nematic Fluctuations inBaFe2(As1xPx)2. Physical Review Letters. 116(10). 107202–107202. 29 indexed citations
13.
Nag, Pranab Kumar, et al.. (2016). Two distinct superconducting phases in LiFeAs. Scientific Reports. 6(1). 27926–27926. 14 indexed citations
14.
Krupskaya, Yulia, A. U. B. Wolter, H.‐J. Grafe, et al.. (2016). Magnetic Resonance Study of the Spin-1/2 Quantum Magnet BaAg2Cu[VO4]2. Zeitschrift für Physikalische Chemie. 231(4). 759–775. 3 indexed citations
15.
Singh, Shiv J., A. U. B. Wolter, H.‐J. Grafe, et al.. (2016). Physical properties optimization of polycrystalline LiFeAs. Physica C Superconductivity. 529. 8–20.
16.
Baek, S.-H., R. Klingeler, Christoph Neef, et al.. (2014). Unusual spin fluctuations and magnetic frustration in olivine and non-olivine LiCoPO4detected byP31andLi7nuclear magnetic resonance. Physical Review B. 89(13). 11 indexed citations
17.
Hammerath, Franziska, Satoshi Nishimoto, H.‐J. Grafe, et al.. (2011). Spin Gap in the Zigzag Spin-1/2Chain CuprateSr0.9Ca0.1CuO2. Physical Review Letters. 107(1). 17203–17203. 28 indexed citations
18.
Lang, Guillaume, H.‐J. Grafe, Dalibor Paar, et al.. (2010). Nanoscale Electronic Order in Iron Pnictides. Physical Review Letters. 104(9). 97001–97001. 61 indexed citations
19.
Grafe, H.‐J., et al.. (2006). Nuclear magnetic resonance studies of rare earth co-doped lanthanum cuprates. Qucosa (Saxon State and University Library Dresden). 41(1). 1 indexed citations
20.
Grafe, H.‐J., N. J. Curro, M. Hücker, & B. Büchner. (2006). Nuclear-Magnetic-Resonance Evidence for Charge Inhomogeneity in Stripe OrderedLa1.8xEu0.2SrxCuO4. Physical Review Letters. 96(1). 17002–17002. 22 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.

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