M. M. Fogler

17.8k total citations · 9 hit papers
150 papers, 13.4k citations indexed

About

M. M. Fogler is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, M. M. Fogler has authored 150 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Atomic and Molecular Physics, and Optics, 59 papers in Biomedical Engineering and 51 papers in Materials Chemistry. Recurrent topics in M. M. Fogler's work include Quantum and electron transport phenomena (59 papers), Plasmonic and Surface Plasmon Research (49 papers) and Graphene research and applications (40 papers). M. M. Fogler is often cited by papers focused on Quantum and electron transport phenomena (59 papers), Plasmonic and Surface Plasmon Research (49 papers) and Graphene research and applications (40 papers). M. M. Fogler collaborates with scholars based in United States, Germany and Singapore. M. M. Fogler's co-authors include D. N. Basov, B. I. Shklovskiǐ, Alexander McLeod, F. Keilmann, Zhe Fei, M. H. Thiemens, F. Javier Garcı́a de Abajo, A. H. Castro Neto, A. A. Koulakov and Aleksandr Rodin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

M. M. Fogler

148 papers receiving 13.0k citations

Hit Papers

Gate-tuning of graphene plasmons revealed by infrared nan... 2011 2026 2016 2021 2012 2014 2016 2014 2015 500 1000 1.5k

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. Fogler United States 52 7.5k 6.6k 4.8k 3.6k 3.4k 150 13.4k
Tony Low United States 60 5.6k 0.7× 5.8k 0.9× 9.4k 1.9× 3.8k 1.0× 6.1k 1.8× 214 15.6k
Marco Polini Italy 60 10.2k 1.3× 6.0k 0.9× 9.0k 1.9× 3.4k 0.9× 5.2k 1.5× 210 18.1k
Luis E. Hueso Spain 56 4.6k 0.6× 2.7k 0.4× 3.7k 0.8× 4.2k 1.2× 4.2k 1.3× 224 10.6k
Çağlar Girit United States 29 5.1k 0.7× 4.7k 0.7× 9.2k 1.9× 2.6k 0.7× 4.4k 1.3× 47 13.3k
Fèlix Casanova Spain 49 4.0k 0.5× 2.6k 0.4× 2.8k 0.6× 2.9k 0.8× 2.8k 0.8× 182 8.0k
Jacob B. Khurgin United States 55 6.2k 0.8× 4.2k 0.6× 2.4k 0.5× 2.7k 0.8× 6.8k 2.0× 492 11.6k
Tineke Thio United States 31 5.8k 0.8× 11.0k 1.7× 2.6k 0.5× 5.9k 1.6× 4.8k 1.4× 67 15.9k
Jaime Gómez Rivas Netherlands 53 4.1k 0.5× 6.9k 1.0× 1.6k 0.3× 3.9k 1.1× 4.0k 1.2× 210 9.6k
Frank H. L. Koppens Spain 66 10.8k 1.4× 12.3k 1.9× 12.7k 2.6× 6.5k 1.8× 11.5k 3.4× 163 26.8k
Cory R. Dean United States 56 8.9k 1.2× 3.5k 0.5× 17.6k 3.6× 2.5k 0.7× 6.2k 1.8× 143 21.4k

Countries citing papers authored by M. M. Fogler

Since Specialization
Citations

This map shows the geographic impact of M. M. Fogler'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. Fogler 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. Fogler more than expected).

Fields of papers citing papers by M. M. Fogler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Fogler. A scholar is included among the top collaborators of M. M. Fogler 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. Fogler. M. M. Fogler 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.
Sun, Zhiyuan, Isabelle Phinney, Da Sun, et al.. (2025). Current-driven nonequilibrium electrodynamics in graphene revealed by nano-infrared imaging. Nature Communications. 16(1). 3861–3861. 2 indexed citations
2.
Jessen, Bjarke S., Ran Jing, Daniel J. Rizzo, et al.. (2024). Charge Transfer Plasmonics in Bespoke Graphene/α-RuCl3 Cavities. ACS Nano. 18(43). 29648–29657. 2 indexed citations
3.
Xu, Suheng, Yutao Li, Ran Jing, et al.. (2024). Electronic interactions in Dirac fluids visualized by nano-terahertz spacetime interference of electron-photon quasiparticles. Science Advances. 10(43). eado5553–eado5553. 6 indexed citations
4.
Fogler, M. M., et al.. (2024). Feshbach resonance of heavy exciton-polaritons. Physical review. B.. 109(11).
5.
Sternbach, Aaron, Samuel Moore, Shuai Zhang, et al.. (2023). Negative refraction in hyperbolic hetero-bicrystals. Science. 379(6632). 555–557. 67 indexed citations
6.
Shao, Yinming, Aaron Sternbach, Brian S. Y. Kim, et al.. (2022). Infrared plasmons propagate through a hyperbolic nodal metal. Science Advances. 8(43). eadd6169–eadd6169. 12 indexed citations
7.
Xiong, Lin, Yutao Li, Dorri Halbertal, et al.. (2021). Polaritonic Vortices with a Half-Integer Charge. Nano Letters. 21(21). 9256–9261. 24 indexed citations
8.
Xiong, Lin, Yutao Li, Minwoo Jung, et al.. (2021). Programmable Bloch polaritons in graphene. Science Advances. 7(19). 20 indexed citations
9.
Jing, Ran, Yinming Shao, Zaiyao Fei, et al.. (2021). Terahertz response of monolayer and few-layer WTe2 at the nanoscale. Nature Communications. 12(1). 5594–5594. 45 indexed citations
10.
Moore, Samuel, Christopher J. Ciccarino, L. J. McGilly, et al.. (2021). Nanoscale lattice dynamics in hexagonal boron nitride moiré superlattices. Nature Communications. 12(1). 5741–5741. 2 indexed citations
11.
Sternbach, Aaron, Sang Hoon Chae, Simone Latini, et al.. (2021). Programmable hyperbolic polaritons in van der Waals semiconductors. Science. 371(6529). 617–620. 77 indexed citations
12.
Ni, Guangxin, Sai Sunku, Aaron Sternbach, et al.. (2020). Nanoscale Infrared Spectroscopy and Imaging of Catalytic Reactions in Cu2O Crystals. ACS Photonics. 7(3). 576–580. 19 indexed citations
13.
Cremin, Kevin, Jingdi Zhang, C. C. Homes, et al.. (2019). Photoenhanced metastable c-axis electrodynamics in stripe-ordered cuprate La 1.885 Ba 0.115 CuO 4. Proceedings of the National Academy of Sciences. 116(40). 19875–19879. 58 indexed citations
14.
Sunku, Sai, Guangxin Ni, Bor‐Yuan Jiang, et al.. (2018). Photonic crystals for nano-light in moiré graphene superlattices. Science. 362(6419). 1153–1156. 293 indexed citations
15.
Giles, Alexander J., Siyuan Dai, I. Vurgaftman, et al.. (2017). Ultralow-loss polaritons in isotopically pure boron nitride. Nature Materials. 17(2). 134–139. 325 indexed citations breakdown →
16.
Dorow, C. J., M. M. Fogler, L. V. Butov, et al.. (2016). Control of excitons in multi-layer van der Waals heterostructures. Applied Physics Letters. 108(10). 48 indexed citations
17.
Dai, Siyuan, Zhe Fei, Q. Ma, et al.. (2014). Tunable Phonon Polaritons in Atomically Thin van der Waals Crystals of Boron Nitride. Science. 343(6175). 1125–1129. 952 indexed citations breakdown →
18.
McLeod, Alexander, Michael Goldflam, Z. Gainsforth, et al.. (2013). The Lightning Rod Model: Quantitative Near-Field Spectroscopy for Extraction of Nano-Resolved Optical Constants. arXiv (Cornell University). 1 indexed citations
19.
Kumar, Amit, Jean‐Marie Poumirol, C. Faugeras, et al.. (2011). Integer Quantum Hall Effect in Trilayer Graphene. Physical Review Letters. 107(12). 126806–126806. 84 indexed citations
20.
Rodin, Aleksandr & M. M. Fogler. (2011). Hopping transport in systems of finite thickness or length. Physical Review B. 84(12). 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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