R. Graham

9.7k total citations
171 papers, 7.2k citations indexed

About

R. Graham is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Fluid Flow and Transfer Processes. According to data from OpenAlex, R. Graham has authored 171 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Atomic and Molecular Physics, and Optics, 72 papers in Statistical and Nonlinear Physics and 39 papers in Fluid Flow and Transfer Processes. Recurrent topics in R. Graham's work include Rheology and Fluid Dynamics Studies (39 papers), Quantum chaos and dynamical systems (38 papers) and Polymer crystallization and properties (33 papers). R. Graham is often cited by papers focused on Rheology and Fluid Dynamics Studies (39 papers), Quantum chaos and dynamical systems (38 papers) and Polymer crystallization and properties (33 papers). R. Graham collaborates with scholars based in Germany, United Kingdom and United States. R. Graham's co-authors include Hermann Haken, Tamás Tél, Alexei E. Likhtman, A. Schenzle, Tom McLeish, Thomas Dittrich, Peter D. Olmsted, Scott T. Milner, K. V. Krutitsky and P. Zoller and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

R. Graham

169 papers receiving 6.9k citations

Author Peers

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

Author Last Decade Papers Cites
R. Graham 3.1k 2.5k 1.5k 1.5k 1.1k 171 7.2k
Hans Christian Öttinger 723 0.2× 1.8k 0.7× 3.3k 2.2× 1.5k 1.0× 186 0.2× 207 7.8k
M. G. Brereton 1.5k 0.5× 560 0.2× 1.8k 1.2× 1.0k 0.7× 83 0.1× 66 6.5k
Gary P. Morriss 1.5k 0.5× 2.8k 1.1× 752 0.5× 152 0.1× 357 0.3× 127 5.4k
Miroslav Grmela 441 0.1× 1.7k 0.7× 1.6k 1.1× 1.0k 0.7× 182 0.2× 189 4.9k
Peter Sollich 547 0.2× 749 0.3× 806 0.5× 267 0.2× 124 0.1× 182 5.4k
H. S. Eisenberg 3.6k 1.1× 2.7k 1.1× 121 0.1× 189 0.1× 637 0.6× 106 6.2k
D. C. Rapaport 1.5k 0.5× 592 0.2× 506 0.3× 222 0.2× 172 0.1× 102 6.7k
Helmut R. Brand 2.0k 0.6× 2.1k 0.8× 173 0.1× 199 0.1× 3.2k 2.8× 351 7.6k
Tapio Ala-Nissilä 2.4k 0.8× 1.1k 0.4× 201 0.1× 297 0.2× 130 0.1× 350 9.6k
David Jasnow 1.7k 0.6× 603 0.2× 227 0.1× 360 0.2× 149 0.1× 136 5.4k

Countries citing papers authored by R. Graham

Since Specialization
Citations

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

Fields of papers citing papers by R. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Graham

This figure shows the co-authorship network connecting the top 25 collaborators of R. Graham. A scholar is included among the top collaborators of R. Graham 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. Graham. R. Graham 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.
Anwar, Muhammad & R. Graham. (2021). Direct observation of long chain enrichment in flow-induced nuclei from molecular dynamics simulations of bimodal blends. Soft Matter. 17(10). 2872–2882. 3 indexed citations
2.
Spotorno, Roberto, María V. Candal, Mercedes Fernández, et al.. (2020). Residual alignment and its effect on weld strength in material-extrusion 3D-printing of polylactic acid. Additive manufacturing. 36. 101415–101415. 54 indexed citations
3.
Read, Daniel J., Claire McIlroy, Chinmay Das, Oliver G. Harlen, & R. Graham. (2020). PolySTRAND Model of Flow-Induced Nucleation in Polymers. Physical Review Letters. 124(14). 147802–147802. 23 indexed citations
4.
Anwar, Muhammad & R. Graham. (2019). Nonlinear shear of entangled polymers from nonequilibrium molecular dynamics. Journal of Polymer Science Part B Polymer Physics. 57(24). 1692–1704. 11 indexed citations
5.
Anwar, Muhammad & R. Graham. (2019). Molecular dynamics simulations of crystal nucleation in entangled polymer melts under start-up shear conditions. The Journal of Chemical Physics. 150(8). 84905–84905. 15 indexed citations
6.
Graham, R., et al.. (2015). A new equation of state for CCS pipeline transport: Calibration of mixing rules for binary mixtures of CO2 with N-2, O-2 and H-2. Repository@Nottingham (University of Nottingham). 23 indexed citations
7.
Matthews, P. C., et al.. (2011). A continuum model of cell proliferation and nutrient transport in a perfusion bioreactor. Mathematical Medicine and Biology A Journal of the IMA. 30(1). 21–44. 34 indexed citations
8.
Graham, R. & Ronald G. Larson. (2010). Coarse-grained simulations of stretching entangled DNA using oscillating electric fields. Chemical Communications. 47(1). 337–339. 2 indexed citations
9.
Graham, R. & Peter D. Olmsted. (2009). Coarse-Grained Simulations of Flow-Induced Nucleation in Semicrystalline Polymers. Physical Review Letters. 103(11). 115702–115702. 99 indexed citations
10.
Graham, R. & Peter D. Olmsted. (2009). Kinetic Monte Carlo simulations of flow-induced nucleation in polymer melts. Faraday Discussions. 144. 71–92. 35 indexed citations
11.
Krutitsky, K. V., Michael Thorwart, Reinhold Egger, & R. Graham. (2008). Ultracold bosons in lattices with binary disorder. Physical Review A. 77(5). 22 indexed citations
12.
Chen, Zheng, R. Graham, Mark A. Burns, & Ronald G. Larson. (2007). Modeling ssDNA electrophoretic migration with band broadening in an entangled or cross‐linked network. Electrophoresis. 28(16). 2783–2800. 6 indexed citations
13.
Martino, Alessandro De, Michael Thorwart, Reinhold Egger, & R. Graham. (2005). Exact Results for One-Dimensional Disordered Bosons with Strong Repulsion. Physical Review Letters. 94(6). 60402–60402. 29 indexed citations
14.
Blanchard, A.J., R. Graham, M. Heinrich, et al.. (2005). Small Angle Neutron Scattering Observation of Chain Retraction after a Large Step Deformation. Physical Review Letters. 95(16). 166001–166001. 44 indexed citations
15.
Graham, R., Alexei E. Likhtman, Tom McLeish, & Scott T. Milner. (2003). Microscopic theory of linear, entangled polymer chains under rapid deformation including chain stretch and convective constraint release. Journal of Rheology. 47(5). 1171–1200. 407 indexed citations
16.
Krutitsky, K. V. & R. Graham. (2003). Interference of Atomic Levels and Superfluid-Mott Insulator Phase Transitions in a Two-Component Bose-Einstein Condensate. Physical Review Letters. 91(24). 240406–240406. 16 indexed citations
17.
Graham, R.. (1988). Quantization of Poincaré Maps. Europhysics Letters (EPL). 7(8). 671–675. 12 indexed citations
18.
Graham, R., et al.. (1985). Semi-classical Limit of Chaos and Quantum Noise in Second Harmonic Generation. THC6–THC6. 2 indexed citations
19.
Yamada, T., et al.. (1981). Intermittency and chaos in a laser system with modulated inversion. Physics Letters A. 82(7). 321–323. 39 indexed citations
20.
Graham, R. & Fritz Haake. (1968). On the calculation of normally ordered correlation functions for the electromagnetic field by means of the Q(β)-function. Physics Letters A. 26(8). 385–386. 2 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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