R. C. Dynes

14.7k total citations · 3 hit papers
184 papers, 11.5k citations indexed

About

R. C. Dynes is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, R. C. Dynes has authored 184 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Condensed Matter Physics, 100 papers in Atomic and Molecular Physics, and Optics and 37 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in R. C. Dynes's work include Physics of Superconductivity and Magnetism (126 papers), Quantum and electron transport phenomena (55 papers) and Magnetic properties of thin films (28 papers). R. C. Dynes is often cited by papers focused on Physics of Superconductivity and Magnetism (126 papers), Quantum and electron transport phenomena (55 papers) and Magnetic properties of thin films (28 papers). R. C. Dynes collaborates with scholars based in United States, Canada and Israel. R. C. Dynes's co-authors include Philip B. Allen, J. P. Garno, V. Narayanamurti, J. M. Valles, T. A. Fulton, Alice E. White, A. G. Sun, J. V. Waszczak, M. B. Maple and J. P. Ćarbotte and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

R. C. Dynes

178 papers receiving 11.1k citations

Hit Papers

Transition temperature of... 1975 2026 1992 2009 1975 1978 1989 500 1000 1.5k 2.0k 2.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. C. Dynes 8.3k 5.2k 2.9k 2.8k 1.8k 184 11.5k
L. M. Falicov 5.2k 0.6× 8.1k 1.6× 3.1k 1.1× 2.9k 1.0× 576 0.3× 272 12.0k
Henry Krakauer 4.4k 0.5× 5.2k 1.0× 3.8k 1.3× 5.0k 1.8× 1.1k 0.6× 175 11.3k
T. H. Geballe 9.3k 1.1× 3.1k 0.6× 6.4k 2.2× 4.8k 1.7× 816 0.5× 260 13.2k
Shōji Tanaka 10.1k 1.2× 3.0k 0.6× 8.6k 3.0× 3.8k 1.4× 831 0.5× 682 15.1k
John W. Wilkins 3.3k 0.4× 6.4k 1.2× 1.5k 0.5× 2.7k 1.0× 597 0.3× 201 9.9k
V. V. Moshchalkov 9.5k 1.1× 6.9k 1.3× 4.4k 1.5× 4.2k 1.5× 372 0.2× 628 14.6k
R. Zeller 4.1k 0.5× 8.0k 1.5× 3.7k 1.3× 4.8k 1.7× 354 0.2× 242 13.0k
J. Friedel 3.3k 0.4× 4.9k 0.9× 2.5k 0.9× 2.9k 1.0× 549 0.3× 126 9.2k
A. Kapitulnik 15.9k 1.9× 7.9k 1.5× 7.4k 2.5× 3.4k 1.2× 889 0.5× 310 18.5k
M. R. Beasley 13.9k 1.7× 6.1k 1.2× 7.9k 2.7× 4.5k 1.6× 697 0.4× 297 17.6k

Countries citing papers authored by R. C. Dynes

Since Specialization
Citations

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

Fields of papers citing papers by R. C. Dynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. C. Dynes

This figure shows the co-authorship network connecting the top 25 collaborators of R. C. Dynes. A scholar is included among the top collaborators of R. C. Dynes 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 R. C. Dynes. R. C. Dynes 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.
Cybart, Shane A. & R. C. Dynes. (2024). Collective neural network behavior in a dynamically driven disordered system of superconducting loops. Proceedings of the National Academy of Sciences. 121(12). e2314995121–e2314995121. 1 indexed citations
2.
Bandaru, Prabhakar R., et al.. (2023). Probing interlayer van der Waals strengths of two-dimensional surfaces and defects, through STM tip-induced elastic deformations. Nanotechnology. 34(15). 15LT01–15LT01. 2 indexed citations
3.
Schuller, Iván K., Alex Frañó, R. C. Dynes, et al.. (2022). Neuromorphic computing: Challenges from quantum materials to emergent connectivity. Applied Physics Letters. 120(14). 11 indexed citations
4.
Hoffmann, Axel, Shriram Ramanathan, Julie Grollier, et al.. (2022). Quantum materials for energy-efficient neuromorphic computing: Opportunities and challenges. APL Materials. 10(7). 43 indexed citations
5.
Cai, Han, et al.. (2022). Superconducting disordered neural networks for neuromorphic processing with fluxons. Science Advances. 8(16). eabn4485–eabn4485. 17 indexed citations
6.
Zaluzhnyy, Ivan A., et al.. (2021). Low-temperature emergent neuromorphic networks with correlated oxide devices. Proceedings of the National Academy of Sciences. 118(35). 21 indexed citations
7.
Dynes, R. C., et al.. (2021). Superconducting neural networks with disordered Josephson junction array synaptic networks and leaky integrate-and-fire loop neurons. Journal of Applied Physics. 129(7). 26 indexed citations
8.
Cheng, Shaobo, Min‐Han Lee, Xing Li, et al.. (2021). Operando characterization of conductive filaments during resistive switching in Mott VO 2. Proceedings of the National Academy of Sciences. 118(9). 27 indexed citations
9.
Hwang, Choongyu, Shane A. Cybart, S. J. Shin, et al.. (2016). Magnetic effects in sulfur-decorated graphene. Scientific Reports. 6(1). 21460–21460. 12 indexed citations
10.
Chen, Ke, et al.. (2013). イオン照射からのY‐Ba‐Cu‐OナノJosephson接合の時間安定性. IEEE Transactions on Applied Superconductivity. 23. 1–3. 1 indexed citations
11.
Ono, Shimpei, et al.. (2009). Josephson scanning tunneling microscopy: A local and direct probe of the superconducting order parameter. Scholar Commons (Santa Clara University). 18 indexed citations
12.
Barber, Richard, et al.. (2008). 通常の超伝導性チップをもつ単結晶Bi 2 Sr 2 CaCu 2 O 8+δ の走査型Josephsonトンネル顕微鏡観測. Physical Review Letters. 101(3). 1–37002. 2 indexed citations
13.
Wu, Stephen M., Shane A. Cybart, John Clarke, & R. C. Dynes. (2008). Simulation of a YBCO Superconducting Quantum Interference Filter. Bulletin of the American Physical Society. 1 indexed citations
14.
Barber, Richard, et al.. (2008). Scanning Josephson Tunneling Microscopy of Single-CrystalBi2Sr2CaCu2O8+δwith a Conventional Superconducting Tip. Physical Review Letters. 101(3). 11 indexed citations
15.
Bourgeois, Olivier, A. Frydman, & R. C. Dynes. (2002). Inverse Proximity Effect in a Strongly Correlated Electron System. Physical Review Letters. 88(18). 186403–186403. 29 indexed citations
16.
Naaman, Ofer, W. Teizer, & R. C. Dynes. (2001). Fluctuation Dominated Josephson Tunneling with a Scanning Tunneling Microscope. Physical Review Letters. 87(9). 97004–97004. 72 indexed citations
17.
Frydman, A., et al.. (1998). Mesoscopic phenomena in disordered superconductors. Uspekhi Fizicheskih Nauk. 168(2). 237–237. 1 indexed citations
18.
Xiong, Peng, A. V. Herzog, & R. C. Dynes. (1996). Negative Magnetoresistance in Homogeneous Amorphous Superconducting Wires. APS March Meeting Abstracts. 1 indexed citations
19.
Sun, A. G., Seung Ho Han, A. S. Katz, et al.. (1995). Anisotropy of the penetration depth in YBa{sub 2}Cu{sub 3}O{sub 7{minus}{delta} }: Josephson-tunneling studies. Physical Review B. 52(22). 1 indexed citations
20.
Brodsky, M. B., R. C. Dynes, K. Kitazawa, & Harry L. Tuller. (1988). High-temperature superconductors; Proceedings of the Symposium, Boston, MA, Nov. 30-Dec. 4, 1987. The Journal of Urology. 113(2). 236–7. 1 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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