Daniel C. Ralph

23.3k total citations · 11 hit papers
129 papers, 16.9k citations indexed

About

Daniel C. Ralph is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Daniel C. Ralph has authored 129 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Atomic and Molecular Physics, and Optics, 49 papers in Electrical and Electronic Engineering and 44 papers in Materials Chemistry. Recurrent topics in Daniel C. Ralph's work include Magnetic properties of thin films (77 papers), Quantum and electron transport phenomena (35 papers) and Advanced Memory and Neural Computing (23 papers). Daniel C. Ralph is often cited by papers focused on Magnetic properties of thin films (77 papers), Quantum and electron transport phenomena (35 papers) and Advanced Memory and Neural Computing (23 papers). Daniel C. Ralph collaborates with scholars based in United States, China and Germany. Daniel C. Ralph's co-authors include R. A. Buhrman, Luqiao Liu, Chi‐Feng Pai, E. Myers, J. A. Katine, H. W. Tseng, Yi Li, Takahiro Moriyama, F. J. Albert and Paul L. McEuen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel C. Ralph

127 papers receiving 16.6k citations

Hit Papers

Spin-Torque Switching with the Giant Spin Ha... 1999 2026 2008 2017 2012 2000 2011 1999 2015 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Ralph United States 50 12.4k 6.7k 6.0k 5.4k 4.1k 129 16.9k
Stefano Sanvito Ireland 70 7.5k 0.6× 10.2k 1.5× 15.2k 2.5× 6.0k 1.1× 1.8k 0.4× 404 22.5k
Claus M. Schneider Germany 56 7.2k 0.6× 3.4k 0.5× 4.5k 0.8× 3.1k 0.6× 2.6k 0.6× 511 11.8k
R. Wiesendanger Germany 79 21.7k 1.8× 6.2k 0.9× 6.9k 1.1× 5.2k 1.0× 8.1k 2.0× 584 26.0k
Jiaqiang Yan United States 72 6.6k 0.5× 8.5k 1.3× 15.7k 2.6× 9.1k 1.7× 8.8k 2.2× 369 25.9k
Claudia Draxl Austria 59 4.2k 0.3× 5.6k 0.8× 8.9k 1.5× 3.4k 0.6× 1.8k 0.4× 310 14.5k
Yoshishige Suzuki Japan 62 13.8k 1.1× 5.8k 0.9× 6.3k 1.0× 6.9k 1.3× 4.0k 1.0× 527 18.1k
Yan Zhou China 50 8.1k 0.7× 3.2k 0.5× 2.1k 0.3× 3.7k 0.7× 3.6k 0.9× 377 10.6k
D. Weller United States 59 13.0k 1.0× 3.4k 0.5× 6.7k 1.1× 7.9k 1.5× 3.8k 0.9× 277 19.0k
Herre S. J. van der Zant Netherlands 76 9.5k 0.8× 13.2k 2.0× 14.0k 2.3× 3.3k 0.6× 1.7k 0.4× 366 23.9k
Shiang Fang United States 30 6.7k 0.5× 2.7k 0.4× 9.8k 1.6× 1.8k 0.3× 2.5k 0.6× 64 13.0k

Countries citing papers authored by Daniel C. Ralph

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Ralph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Ralph

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Ralph. A scholar is included among the top collaborators of Daniel C. Ralph 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 C. Ralph. Daniel C. Ralph 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.
Patton, Michael Quinn, Gautam Gurung, Ding‐Fu Shao, et al.. (2023). Symmetry Control of Unconventional Spin–Orbit Torques in IrO2. Advanced Materials. 35(39). e2301608–e2301608. 21 indexed citations
2.
Li, Ruofan, Hai Zhong, Bo Li, et al.. (2023). A puzzling insensitivity of magnon spin diffusion to the presence of 180-degree domain walls. Nature Communications. 14(1). 2393–2393. 7 indexed citations
3.
Jain, Rakshit, Arnab Bose, Anthony Richardella, et al.. (2023). Thermally generated spin current in the topological insulator Bi 2 Se 3. Science Advances. 9(50). eadi4540–eadi4540. 5 indexed citations
4.
Ralph, Daniel C., et al.. (2023). Sagnac interferometry for high-sensitivity optical measurements of spin-orbit torque. Science Advances. 9(36). eadi9039–eadi9039. 14 indexed citations
5.
Campbell, Neil, Gautam Gurung, Xiaoxi Huang, et al.. (2023). Large spin–orbit torque in bismuthate-based heterostructures. Nature Electronics. 6(12). 973–980. 10 indexed citations
6.
Balch, Halleh B., Austin M. Evans, Raghunath R. Dasari, et al.. (2020). Electronically Coupled 2D Polymer/MoS2 Heterostructures. Journal of the American Chemical Society. 142(50). 21131–21139. 33 indexed citations
7.
Stiehl, Gregory M., Arnab Bose, Kaifei Kang, et al.. (2020). Manipulation of the van der Waals Magnet Cr2Ge2Te6 by Spin–Orbit Torques. Nano Letters. 20(10). 7482–7488. 59 indexed citations
8.
Zhu, Lijun, et al.. (2020). Energy‐Efficient Ultrafast SOT‐MRAMs Based on Low‐Resistivity Spin Hall Metal Au0.25Pt0.75. Advanced Electronic Materials. 6(2). 39 indexed citations
9.
Mak, Kin Fai, Jie Shan, & Daniel C. Ralph. (2019). Probing and controlling magnetic states in 2D layered magnetic materials. Nature Reviews Physics. 1(11). 646–661. 391 indexed citations breakdown →
10.
Stiehl, Gregory M., Arnab Bose, Kaifei Kang, et al.. (2019). Current-induced torques in heterostructures of 2D van der Waals magnets. Bulletin of the American Physical Society. 2019. 1 indexed citations
12.
Moriyama, Takahiro, Nikhil Sivadas, Ryan F. Need, et al.. (2019). Spin Seebeck imaging of spin-torque switching in antiferromagnetic Pt/NiO/Pt heterostructures. Bulletin of the American Physical Society. 2019. 1 indexed citations
13.
Matsumoto, Michio, Lauren Valentino, Gregory M. Stiehl, et al.. (2018). Lewis-Acid-Catalyzed Interfacial Polymerization of Covalent Organic Framework Films. Chem. 4(2). 308–317. 467 indexed citations breakdown →
14.
Täte, Mark W., Prafull Purohit, Kayla X. Nguyen, et al.. (2016). High Dynamic Range Pixel Array Detector for Scanning Transmission Electron Microscopy. Microscopy and Microanalysis. 22(1). 237–249. 336 indexed citations
15.
Allwood, Julian M., et al.. (2015). A General Nonlinear Least Squares Data Reconciliation and Estimation Method for Material Flow Analysis. Journal of Industrial Ecology. 20(5). 1038–1049. 14 indexed citations
16.
Ralph, Daniel C.. (2015). Spin-Torque Switching with the Giant Spin Hall Effect. Bulletin of the American Physical Society. 2015. 5 indexed citations
17.
Mellnik, Alex, Jennifer Grab, Peter J. Mintun, et al.. (2013). Efficient Generation of Spin Current and Spin Transfer Torque by the Topological Insulator Bismuth Selenide. Bulletin of the American Physical Society. 2013. 3 indexed citations
18.
Ralph, Daniel C., et al.. (2011). Spin-transfer torque in nanoscale magnetic devices. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 369(1951). 3617–3630. 16 indexed citations
19.
Eberhard, Andrew, et al.. (2009). Some new approximation results for utilities in revealed preference theory. RMIT Research Repository (RMIT University Library).
20.
Katine, J. A., F. J. Albert, R. A. Buhrman, E. Myers, & Daniel C. Ralph. (2000). Current-Driven Magnetization Reversal and Spin-Wave Excitations in Co/Cu/Co Pillars. Physical Review Letters. 84(14). 3149–3152. 1441 indexed citations breakdown →

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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