M. M. Qazilbash

5.5k total citations · 2 hit papers
47 papers, 4.4k citations indexed

About

M. M. Qazilbash is a scholar working on Electronic, Optical and Magnetic Materials, Polymers and Plastics and Condensed Matter Physics. According to data from OpenAlex, M. M. Qazilbash has authored 47 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electronic, Optical and Magnetic Materials, 23 papers in Polymers and Plastics and 16 papers in Condensed Matter Physics. Recurrent topics in M. M. Qazilbash's work include Transition Metal Oxide Nanomaterials (23 papers), Advanced Condensed Matter Physics (12 papers) and Ga2O3 and related materials (11 papers). M. M. Qazilbash is often cited by papers focused on Transition Metal Oxide Nanomaterials (23 papers), Advanced Condensed Matter Physics (12 papers) and Ga2O3 and related materials (11 papers). M. M. Qazilbash collaborates with scholars based in United States, South Korea and Germany. M. M. Qazilbash's co-authors include D. N. Basov, Byung Gyu Chae, Hyun-Tak Kim, F. Keilmann, M. B. Maple, Sun Jin Yun, Bong-Jun Kim, M. Brehm, Alexander V. Balatsky and Pei-Chun Ho and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

M. M. Qazilbash

46 papers receiving 4.3k citations

Hit Papers

Mott Transition in VO 2 Revealed by Infrared Spectroscopy... 2007 2026 2013 2019 2007 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. M. Qazilbash United States 27 2.4k 2.0k 1.7k 1.1k 1.0k 47 4.4k
Hyun-Tak Kim South Korea 28 2.5k 1.1× 3.4k 1.7× 3.4k 2.0× 1.4k 1.3× 294 0.3× 86 5.3k
Byung Gyu Chae South Korea 27 2.5k 1.1× 3.3k 1.6× 3.0k 1.8× 1.7k 1.5× 289 0.3× 58 5.1k
Sun Jin Yun South Korea 30 1.4k 0.6× 2.3k 1.1× 3.6k 2.1× 2.5k 2.4× 279 0.3× 192 5.4k
Gregory Andreev United States 11 1.8k 0.8× 1.0k 0.5× 1.5k 0.9× 1.2k 1.1× 165 0.2× 15 4.3k
Pei-Chun Ho United States 24 2.3k 1.0× 978 0.5× 729 0.4× 644 0.6× 2.1k 2.0× 89 3.5k
D. N. Basov United States 29 2.2k 0.9× 345 0.2× 670 0.4× 881 0.8× 2.1k 2.0× 55 4.1k
Young‐Ki Kim South Korea 28 1.7k 0.7× 1.4k 0.7× 3.2k 1.9× 2.1k 2.0× 171 0.2× 84 5.2k
Luc Piraux Belgium 46 2.0k 0.9× 361 0.2× 2.2k 1.3× 4.9k 4.5× 1.0k 1.0× 243 7.7k
Matthew Mecklenburg United States 30 853 0.4× 243 0.1× 2.1k 1.3× 2.5k 2.3× 218 0.2× 100 4.6k
Rong Zhang China 42 3.1k 1.3× 637 0.3× 3.8k 2.2× 5.0k 4.6× 2.6k 2.4× 539 8.3k

Countries citing papers authored by M. M. Qazilbash

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Qazilbash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Qazilbash

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Qazilbash. A scholar is included among the top collaborators of M. M. Qazilbash 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. M. Qazilbash. M. M. Qazilbash 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.
Simmons, F. Blair, Pavel Salev, Lionel Aigouy, et al.. (2023). Deep learning Hamiltonians from disordered image data in quantum materials. Physical review. B.. 107(20). 4 indexed citations
2.
Greenwood, Alexander I., et al.. (2022). Protein secondary structure in spider silk nanofibrils. Nature Communications. 13(1). 4329–4329. 65 indexed citations
3.
Kim, Chang‐Yong, et al.. (2022). Insulator-to-metal transition in ultrathin rutile VO2/TiO2(001). npj Quantum Materials. 7(1). 9 indexed citations
4.
Huang, Fei‐Ting, et al.. (2022). Orbital-selective metallicity in the valence-bond liquid phase of Li2RuO3. Physical review. B.. 105(24). 1 indexed citations
5.
Qazilbash, M. M., et al.. (2021). Hyperspectral infrared imaging of surface phonon-polaritons in SrTiO3. Physical review. B.. 104(23). 13 indexed citations
6.
Biswas, Amlan, et al.. (2020). Near-field infrared nanospectroscopy of surface phonon-polariton resonances. Physical Review Research. 2(2). 29 indexed citations
7.
Thompson, Dakotah, Linxiao Zhu, Rohith Mittapally, et al.. (2018). Hundred-fold enhancement in far-field radiative heat transfer over the blackbody limit. Nature. 561(7722). 216–221. 88 indexed citations
8.
Carlson, E. W., Shuo Liu, Karin A. Dahmen, et al.. (2016). Random Field Driven Spatial Complexity at the Mott Transition in VO 2. APS March Meeting Abstracts. 2016. 4 indexed citations
9.
Liu, Shuo, E. W. Carlson, Karin A. Dahmen, et al.. (2016). Random Field Driven Spatial Complexity at the Mott Transition inVO2. Physical Review Letters. 116(3). 36401–36401. 34 indexed citations
10.
Xu, Peng, et al.. (2016). Role of electron-electron interactions in the charge dynamics of rare-earth-dopedCaFe2As2. Physical review. B.. 94(6). 6 indexed citations
11.
Kats, Mikhail A., Romain Blanchard, Patrice Genevet, et al.. (2013). Thermal tuning of mid-infrared plasmonic antenna arrays using a phase change material. Optics Letters. 38(3). 368–368. 185 indexed citations
12.
Xu, Peng, M. M. Qazilbash, Eric J. Walter, et al.. (2013). Anisotropic infrared response of vanadium dioxide microcrystals. Physical Review B. 87(11). 41 indexed citations
13.
Schafgans, A. A., S. J. Moon, B. C. Pursley, et al.. (2012). Electronic Correlations and Unconventional Spectral Weight Transfer in the High-Temperature PnictideBaFe2xCoxAs2Superconductor Using Infrared Spectroscopy. Physical Review Letters. 108(14). 147002–147002. 60 indexed citations
14.
Zhang, Junfeng, M. M. Qazilbash, Sun Jin Yun, et al.. (2011). Photoinduced Phase Transitions by Time-Resolved Far-Infrared Spectroscopy inV2O3. Physical Review Letters. 107(6). 66403–66403. 47 indexed citations
15.
Schafgans, A. A., A. D. LaForge, S. V. Dordevic, et al.. (2010). Towards a Two-Dimensional Superconducting State ofLa2xSrxCuO4in a Moderate External Magnetic Field. Physical Review Letters. 104(15). 157002–157002. 37 indexed citations
16.
Qazilbash, M. M., Kenneth S. Burch, Daniel Whisler, et al.. (2006). Correlated metallic state of vanadium dioxide. Physical Review B. 74(20). 145 indexed citations
17.
Dagan, Y., M. M. Qazilbash, & R. L. Greene. (2005). Tunneling into the Normal State ofPr2xCexCuO4. Physical Review Letters. 94(18). 187003–187003. 25 indexed citations
18.
Dagan, Y., M. M. Qazilbash, C. Hill, V. N. Kulkarni, & R. L. Greene. (2004). Evidence for a Quantum Phase Transition inPr2xCexCuO4δfrom Transport Measurements. Physical Review Letters. 92(16). 167001–167001. 155 indexed citations
19.
Dagan, Y., M. M. Qazilbash, C. Hill, V. N. Kulkarni, & R. L. Greene. (2003). Evidence for a quantum phase transition in the electron-doped cuprate Pr2-xCexCuO4+d from Hall and resistivity measurements. arXiv (Cornell University). 75 indexed citations
20.
Biswas, Amlan, P. Fournier, M. M. Qazilbash, et al.. (2001). Evidence of a d to s-wave pairing symmetry transition in the electron-doped cuprate superconductor Pr$_{2-x}$Ce$_x$CuO$_4$. arXiv (Cornell University). 5 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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