Daniel T. Larson

1.1k total citations
30 papers, 844 citations indexed

About

Daniel T. Larson is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Daniel T. Larson has authored 30 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 12 papers in Electrical and Electronic Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Daniel T. Larson's work include 2D Materials and Applications (15 papers), Graphene research and applications (7 papers) and Perovskite Materials and Applications (5 papers). Daniel T. Larson is often cited by papers focused on 2D Materials and Applications (15 papers), Graphene research and applications (7 papers) and Perovskite Materials and Applications (5 papers). Daniel T. Larson collaborates with scholars based in United States, Brazil and Japan. Daniel T. Larson's co-authors include Efthimios Kaxiras, Hitoshi Murayama, Roni Harnik, Graham D. Kribs, Philip Kim, Mehdi Rezaee, Takashi Taniguchi, Hyobin Yoo, Sai Zhao and Kenji Watanabe and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Daniel T. Larson

28 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Larson United States 14 525 266 198 126 97 30 844
Jakob Gath Denmark 9 835 1.6× 314 1.2× 79 0.4× 165 1.3× 69 0.7× 10 1.0k
Nguyen Van Hieu Vietnam 16 524 1.0× 247 0.9× 81 0.4× 132 1.0× 22 0.2× 58 759
Anders Blom United States 12 412 0.8× 413 1.6× 33 0.2× 291 2.3× 35 0.4× 35 735
He Liu China 12 80 0.2× 126 0.5× 132 0.7× 219 1.7× 160 1.6× 46 505
Mauricio Sturla Argentina 11 380 0.7× 45 0.2× 52 0.3× 330 2.6× 52 0.5× 19 544
J. Söllner Germany 12 216 0.4× 252 0.9× 54 0.3× 296 2.3× 45 0.5× 48 527
Christina McGahan United States 6 145 0.3× 185 0.7× 70 0.4× 89 0.7× 14 0.1× 8 413
Nabhanila Nandi Germany 6 298 0.6× 99 0.4× 28 0.1× 283 2.2× 18 0.2× 10 619
D. Keeling United Kingdom 18 336 0.6× 221 0.8× 563 2.8× 176 1.4× 229 2.4× 56 851
Š. Gaži Slovakia 13 154 0.3× 172 0.6× 82 0.4× 183 1.5× 18 0.2× 78 599

Countries citing papers authored by Daniel T. Larson

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Larson'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 Daniel T. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Larson more than expected).

Fields of papers citing papers by Daniel T. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Larson. 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 Daniel T. Larson. The network helps show where Daniel T. Larson may publish in the future.

Co-authorship network of co-authors of Daniel T. Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Larson. A scholar is included among the top collaborators of Daniel T. Larson 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 Daniel T. Larson. Daniel T. Larson 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.
Larson, Daniel T., Daniel Bennett, Anderson S. Chaves, et al.. (2025). Stacking-dependent electronic structure of ultrathin perovskite bilayers. Physical review. B.. 111(12). 1 indexed citations
2.
Arora, Raagya, et al.. (2025). Engineering interfacial charge transfer through modulation doping for 2D electronics. Physical Review Materials. 9(2). 4 indexed citations
3.
Luo, Yue, Andrés M. Mier Valdivia, Daniel T. Larson, et al.. (2025). Observation of hyperbolic intersubband polaritons in native-dielectric-doped van der Waals semiconductor quantum wells. Nature Communications. 16(1). 10158–10158.
4.
Rhone, Trevor David, Bethany Lusch, Marios Mattheakis, et al.. (2023). Artificial Intelligence Guided Studies of van der Waals Magnets. Advanced Theory and Simulations. 6(6). 13 indexed citations
5.
Chaves, Anderson S., Michele Pizzochero, Daniel T. Larson, Alex Antonelli, & Efthimios Kaxiras. (2023). Semiclassical electron and phonon transport from first principles: application to layered thermoelectrics. Journal of Computational Electronics. 22(5). 1281–1309.
6.
Chaves, Anderson S., Daniel T. Larson, Efthimios Kaxiras, & Alex Antonelli. (2022). Out-of-plane thermoelectric performance for p-doped GeSe. Physical review. B.. 105(20). 6 indexed citations
7.
Cho, Yeonchoo, Gabriel R. Schleder, Daniel T. Larson, et al.. (2022). Modulation Doping of Single-Layer Semiconductors for Improved Contact at Metal Interfaces. Nano Letters. 22(23). 9700–9706. 8 indexed citations
8.
Zhu, Ziyan, et al.. (2022). Low-energy moiré phonons in twisted bilayer van der Waals heterostructures. Physical review. B.. 106(14). 15 indexed citations
9.
Chaves, Anderson S., Daniel T. Larson, Efthimios Kaxiras, & Alex Antonelli. (2021). Microscopic origin of the high thermoelectric figure of merit of n-doped SnSe. Physical review. B.. 104(11). 9 indexed citations
10.
Zhang, Kunyan, Yunfan Guo, Daniel T. Larson, et al.. (2021). Spectroscopic Signatures of Interlayer Coupling in Janus MoSSe/MoS2 Heterostructures. ACS Nano. 15(9). 14394–14403. 63 indexed citations
11.
Matt, C. E., Anjan Soumyanarayanan, Y.-S. He, et al.. (2020). Consistency between ARPES and STM measurements on SmB6. Physical review. B.. 101(8). 14 indexed citations
12.
Larson, Daniel T., Wei Chen, Steven B. Torrisi, et al.. (2020). Effects of structural distortions on the electronic structure of T-type transition metal dichalcogenides. Physical review. B.. 102(4). 5 indexed citations
13.
Carr, Stephen, et al.. (2020). Lithium intercalation in MoS2 bilayers and implications for moiré flat bands. Physical review. B.. 102(12). 15 indexed citations
14.
Klein, Dahlia, David MacNeill, Qian Song, et al.. (2019). Enhancement of interlayer exchange in an ultrathin two-dimensional magnet. Iowa State University Digital Repository (Iowa State University). 80 indexed citations
15.
Zhang, Keye, et al.. (2018). Solvent Effects on Growth, Crystallinity, and Surface Bonding of Ge Nanoparticles. Inorganic Chemistry. 57(9). 5299–5306. 21 indexed citations
16.
Bediako, D. Kwabena, Mehdi Rezaee, Hyobin Yoo, et al.. (2018). Heterointerface effects in the electrointercalation of van der Waals heterostructures. Nature. 558(7710). 425–429. 206 indexed citations
17.
Larson, Daniel T., Hitoshi Murayama, & Gilad Perez. (2005). Right-handed new physics remains strangely beautiful. Journal of High Energy Physics. 2005(7). 57–57. 2 indexed citations
18.
Harnik, Roni, Daniel T. Larson, Hitoshi Murayama, & Aaron Pierce. (2004). Atmospheric neutrinos can make beauty strange. Physical review. D. Particles, fields, gravitation, and cosmology. 69(9). 58 indexed citations
19.
Harnik, Roni, Graham D. Kribs, Daniel T. Larson, & Hitoshi Murayama. (2004). Minimal supersymmetric fat Higgs model. Physical review. D. Particles, fields, gravitation, and cosmology. 70(1). 135 indexed citations
20.
Gallagher, T. F., et al.. (1990). Photodetachment in a microwave field. Physical Review Letters. 65(11). 1336–1339. 19 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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