M. J. Veit

1.8k total citations
23 papers, 1.2k citations indexed

About

M. J. Veit 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, M. J. Veit has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Condensed Matter Physics, 11 papers in Electronic, Optical and Magnetic Materials and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. J. Veit's work include Physics of Superconductivity and Magnetism (11 papers), Advanced Condensed Matter Physics (10 papers) and Magnetic and transport properties of perovskites and related materials (8 papers). M. J. Veit is often cited by papers focused on Physics of Superconductivity and Magnetism (11 papers), Advanced Condensed Matter Physics (10 papers) and Magnetic and transport properties of perovskites and related materials (8 papers). M. J. Veit collaborates with scholars based in United States, Germany and China. M. J. Veit's co-authors include R. Heitz, D. Bimberg, P. S. Kop’ev, V. M. Ustinov, Zh. I. Alfërov, N. N. Ledentsov, A. Hoffmann, M. Greven, C. J. Dorow and M. K. Chan and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. B, Condensed matter.

In The Last Decade

M. J. Veit

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. J. Veit United States 15 688 495 455 423 327 23 1.2k
Dai S. Hirashima Japan 19 1.3k 1.9× 802 1.6× 306 0.7× 444 1.0× 484 1.5× 95 1.7k
Jan Zemen Czechia 16 1.1k 1.5× 519 1.0× 374 0.8× 570 1.3× 685 2.1× 37 1.4k
A. Shuvaev Austria 18 452 0.7× 302 0.6× 220 0.5× 444 1.0× 591 1.8× 63 1.0k
Focko Meier Germany 12 853 1.2× 467 0.9× 214 0.5× 273 0.6× 212 0.6× 16 1.1k
Y. Takahashi Japan 19 649 0.9× 623 1.3× 321 0.7× 726 1.7× 932 2.9× 66 1.6k
Rolando Valdés Aguilar United States 19 673 1.0× 666 1.3× 251 0.6× 726 1.7× 748 2.3× 31 1.5k
Junjie Sun China 16 413 0.6× 549 1.1× 435 1.0× 250 0.6× 280 0.9× 50 1.1k
Diyar Talbayev United States 24 427 0.6× 460 0.9× 418 0.9× 427 1.0× 804 2.5× 60 1.3k
Charles‐Henri Lambert Switzerland 17 940 1.4× 261 0.5× 471 1.0× 294 0.7× 467 1.4× 41 1.1k
P. H. O. Rappl Brazil 18 668 1.0× 265 0.5× 402 0.9× 630 1.5× 194 0.6× 105 1.1k

Countries citing papers authored by M. J. Veit

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Veit. 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 M. J. Veit. The network helps show where M. J. Veit may publish in the future.

Co-authorship network of co-authors of M. J. Veit

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Veit. A scholar is included among the top collaborators of M. J. Veit 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 M. J. Veit. M. J. Veit 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.
Parvizi, Josef, M. J. Veit, Daniel A. N. Barbosa, et al.. (2022). Complex negative emotions induced by electrical stimulation of the human hypothalamus. Brain stimulation. 15(3). 615–623. 16 indexed citations
2.
Yi, Di, Yujia Wang, O.M.J. van ‘t Erve, et al.. (2020). Emergent electric field control of phase transformation in oxide superlattices. Nature Communications. 11(1). 902–902. 47 indexed citations
3.
Pelc, Damjan, M. J. Veit, C. J. Dorow, et al.. (2020). Resistivity phase diagram of cuprates revisited. Physical review. B.. 102(7). 17 indexed citations
4.
Balakrishnan, Purnima P., et al.. (2019). Metallicity in SrTiO3 substrates induced by pulsed laser deposition. APL Materials. 7(1). 14 indexed citations
5.
Barišić, N., M. K. Chan, M. J. Veit, et al.. (2019). Evidence for a universal Fermi-liquid scattering rate throughout the phase diagram of the copper-oxide superconductors. New Journal of Physics. 21(11). 113007–113007. 23 indexed citations
6.
Veit, M. J., M. K. Chan, B. J. Ramshaw, et al.. (2019). Three-dimensional character of the Fermi surface in ultrathin LaTiO3/SrTiO3 heterostructures. Physical review. B.. 99(11). 9 indexed citations
7.
Veit, M. J., Rémi Arras, B. J. Ramshaw, Rossitza Pentcheva, & Y. Suzuki. (2018). Nonzero Berry phase in quantum oscillations from giant Rashba-type spin splitting in LaTiO3/SrTiO3 heterostructures. Nature Communications. 9(1). 1458–1458. 30 indexed citations
8.
Chan, M. K., C. J. Dorow, Lucile Mangin-Thro, et al.. (2016). Commensurate antiferromagnetic excitations as a signature of the pseudogap in the tetragonal high-Tc cuprate HgBa2CuO4+δ. Nature Communications. 7(1). 10819–10819. 52 indexed citations
9.
Hinton, James P., Eric Thewalt, Zhanybek Alpichshev, et al.. (2016). The rate of quasiparticle recombination probes the onset of coherence in cuprate superconductors. Scientific Reports. 6(1). 23610–23610. 19 indexed citations
10.
Chan, M. K., C. J. Dorow, Jaehong Jeong, et al.. (2016). Hourglass Dispersion and Resonance of Magnetic Excitations in the Superconducting State of the Single-Layer Cuprate HgBa2CuO4+δ Near Optimal Doping. Physical Review Letters. 117(27). 277002–277002. 23 indexed citations
11.
Rybicki, Damian, Jürgen Haase, M. Greven, et al.. (2015). Electronic spin susceptibilities and superconductivity inHgBa2CuO4+δfrom nuclear magnetic resonance. Physical Review B. 92(8). 9 indexed citations
12.
Chan, M. K., M. J. Veit, C. J. Dorow, et al.. (2014). In-Plane Magnetoresistance Obeys Kohler’s Rule in the Pseudogap Phase of Cuprate Superconductors. Physical Review Letters. 113(17). 177005–177005. 66 indexed citations
13.
Tabiś, Wojciech, Yuan Li, M. Le Tacon, et al.. (2014). Charge order and its connection with Fermi-liquid charge transport in a pristine high-Tc cuprate. Nature Communications. 5(1). 5875–5875. 210 indexed citations
14.
Türck, V., F. Heinrichsdorff, M. J. Veit, et al.. (1998). Correlation of InGaAs/GaAs quantum dot and wetting layer formation. Applied Surface Science. 123-124. 352–355. 12 indexed citations
15.
Heitz, R., M. J. Veit, N. N. Ledentsov, et al.. (1997). Energy relaxation by multiphonon processes in InAs/GaAs quantum dots. Physical review. B, Condensed matter. 56(16). 10435–10445. 355 indexed citations
16.
Heitz, R., Marius Grundmann, N. N. Ledentsov, et al.. (1996). Multiphonon-relaxation processes in self-organized InAs/GaAs quantum dots. Applied Physics Letters. 68(3). 361–363. 188 indexed citations
17.
Heitz, R., Marius Grundmann, N. N. Ledentsov, et al.. (1996). Excition relaxation in self-organized InAs/GaAs quantum dots. Surface Science. 361-362. 770–773. 5 indexed citations
18.
Langen, J., M. J. Veit, M. Gálffy, et al.. (1988). Bulk superconductivity at 70 K in Tetragonal YBa2(Cu0.96Co0.04)3O7−y. Solid State Communications. 65(9). 973–976. 16 indexed citations
19.
Blumenröder, S., et al.. (1988). Raman scattering as a probe of the stoichiometry of YBa2Cu3O7−x. Physica C Superconductivity. 153-155. 296–297. 1 indexed citations
20.
Langen, J., et al.. (1987). Lattice parameter and resistivity anomalies of CeRh3B2. Solid State Communications. 64(2). 169–173. 12 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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