J. S. Sarff

4.0k total citations
138 papers, 2.4k citations indexed

About

J. S. Sarff is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, J. S. Sarff has authored 138 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Nuclear and High Energy Physics, 87 papers in Astronomy and Astrophysics and 28 papers in Electrical and Electronic Engineering. Recurrent topics in J. S. Sarff's work include Magnetic confinement fusion research (124 papers), Ionosphere and magnetosphere dynamics (86 papers) and Laser-Plasma Interactions and Diagnostics (43 papers). J. S. Sarff is often cited by papers focused on Magnetic confinement fusion research (124 papers), Ionosphere and magnetosphere dynamics (86 papers) and Laser-Plasma Interactions and Diagnostics (43 papers). J. S. Sarff collaborates with scholars based in United States, Japan and Italy. J. S. Sarff's co-authors include S. C. Prager, A. F. Almagri, B. E. Chapman, G. Fiksel, Hantao Ji, D. J. Den Hartog, D. Craig, M. R. Stoneking, D. L. Brower and W. X. Ding and has published in prestigious journals such as Physical Review Letters, PLoS ONE and The American Journal of Medicine.

In The Last Decade

J. S. Sarff

135 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. S. Sarff United States 28 2.1k 1.6k 394 319 266 138 2.4k
G. Taylor United States 28 1.9k 0.9× 1.0k 0.6× 164 0.4× 316 1.0× 321 1.2× 70 2.6k
C. Holland United States 36 3.5k 1.6× 2.5k 1.5× 285 0.7× 413 1.3× 659 2.5× 134 3.7k
M. Spolaore Italy 22 1.1k 0.5× 709 0.4× 325 0.8× 194 0.6× 251 0.9× 121 1.4k
C. L. Rettig United States 21 1.6k 0.8× 964 0.6× 201 0.5× 351 1.1× 233 0.9× 58 1.8k
A. V. Melnikov Russia 24 1.7k 0.8× 1.0k 0.6× 233 0.6× 258 0.8× 331 1.2× 177 2.1k
D. S. Darrow United States 23 2.2k 1.1× 1.3k 0.8× 187 0.5× 325 1.0× 472 1.8× 86 2.4k
A. J. H. Donné Netherlands 24 1.3k 0.6× 609 0.4× 328 0.8× 248 0.8× 365 1.4× 86 1.8k
Y. Kusama Japan 29 2.2k 1.0× 1.2k 0.8× 234 0.6× 440 1.4× 509 1.9× 123 2.4k
P. E. Phillips United States 21 1.3k 0.6× 864 0.5× 132 0.3× 152 0.5× 139 0.5× 57 1.4k
L. Giannone Germany 29 2.9k 1.4× 1.2k 0.7× 399 1.0× 772 2.4× 700 2.6× 185 3.3k

Countries citing papers authored by J. S. Sarff

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Sarff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Sarff. 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 J. S. Sarff. The network helps show where J. S. Sarff may publish in the future.

Co-authorship network of co-authors of J. S. Sarff

This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Sarff. A scholar is included among the top collaborators of J. S. Sarff 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 J. S. Sarff. J. S. Sarff 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.
Himura, H., A. F. Almagri, J. S. Sarff, et al.. (2024). All-in-one probe for exploring self-organized two-fluid equilibria in toroidal plasmas. Review of Scientific Instruments. 95(8).
2.
Himura, H., et al.. (2024). An octahedral Mach B-dot probe for 3D flows and magnetic fields in the edge of reversed field pinches. Review of Scientific Instruments. 95(7). 1 indexed citations
3.
Sarff, J. S., et al.. (2023). Implementation of an Assault Prevention Quality Improvement Initiative in an Urban Emergency Department. Journal of Nursing Care Quality. 38(4). 341–347. 4 indexed citations
4.
Chapman, B. E., A. F. Almagri, K. J. McCollam, et al.. (2022). Self-organized magnetic equilibria in tokamak plasmas with very low edge safety factor. Physics of Plasmas. 29(8). 7 indexed citations
5.
Beidler, Matthew, S. Munaretto, B. E. Chapman, et al.. (2022). Computational study of runaway electrons in MST tokamak discharges with applied resonant magnetic perturbation. Physics of Plasmas. 29(5). 2 indexed citations
6.
Marrelli, L., P. Martin, M.E. Puiatti, et al.. (2020). The reversed field pinch. Nuclear Fusion. 61(2). 23001–23001. 41 indexed citations
7.
Pueschel, M. J., P. W. Terry, T. Nishizawa, et al.. (2020). Impact of resonant magnetic perturbations on zonal flows and microturbulence. Nuclear Fusion. 60(9). 96004–96004. 10 indexed citations
8.
Canamar, Catherine P., et al.. (2020). The Discharge Lounge. Journal of Nursing Care Quality. 35(3). 240–244. 5 indexed citations
9.
Tolles, Juliana, G. Scott Waterman, C. Edward Coffey, et al.. (2020). A randomized trial of a behavioral intervention to decrease hospital length of stay by decreasing bedrest. PLoS ONE. 15(1). e0226332–e0226332. 2 indexed citations
10.
Li, Zichao, K. J. McCollam, T. Nishizawa, et al.. (2018). Effects of oscillating poloidal current drive on magnetic relaxation in the Madison Symmetric Torus reversed-field pinch. Plasma Physics and Controlled Fusion. 61(4). 45004–45004. 1 indexed citations
11.
Fridström, R., B. E. Chapman, A.F. Almagri, et al.. (2018). Dependence of Perpendicular Viscosity on Magnetic Fluctuations in a Stochastic Topology. Physical Review Letters. 120(22). 225002–225002. 8 indexed citations
12.
Koepke, M. E., R. J. Buttery, G. G. Howes, et al.. (2017). New Frontier Science Campaign on DIII-D launched in 2017. Bulletin of the American Physical Society. 2017. 1 indexed citations
13.
Kumar, S. T. A., D. J. Den Hartog, Richard Magee, et al.. (2012). Classical Impurity Ion Confinement in a Toroidal Magnetized Fusion Plasma. Physical Review Letters. 108(12). 125006–125006. 8 indexed citations
14.
Bergerson, W.F., F. Auriemma, B. E. Chapman, et al.. (2011). Bifurcation to 3D Helical Magnetic Equilibrium in an Axisymmetric Toroidal Device. Physical Review Letters. 107(25). 255001–255001. 27 indexed citations
15.
Paz-Soldan, C., et al.. (2011). Stabilization of the Resistive Wall Mode by a Rotating Solid Conductor. Physical Review Letters. 107(24). 245001–245001. 8 indexed citations
16.
Tharp, T. D., et al.. (2010). Measurements of nonlinear Hall-driven reconnection in the reversed field pinch. Bulletin of the American Physical Society. 52. 3 indexed citations
17.
Anderson, J. K., T. M. Biewer, C. B. Forest, et al.. (2003). Dynamo-free plasma in the reversed field pinch. APS Division of Plasma Physics Meeting Abstracts. 45. 1 indexed citations
18.
Crocker, N. A., G. Fiksel, S. C. Prager, & J. S. Sarff. (2003). Measurement of the Current Sheet during Magnetic Reconnection in a Toroidal Plasma. Physical Review Letters. 90(3). 35003–35003. 22 indexed citations
19.
Brower, D. L., W. X. Ding, S. D. Terry, et al.. (2002). Measurement of the Current-Density Profile and Plasma Dynamics in the Reversed-Field Pinch. Physical Review Letters. 88(18). 185005–185005. 41 indexed citations
20.
Forest, C. B., J. K. Anderson, B. E. Chapman, et al.. (1997). EFIT Equilibrium reconstructions for the MST reversed field pinch.. APS Division of Plasma Physics Meeting Abstracts. 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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