David Smithe

1.5k total citations
120 papers, 1.1k citations indexed

About

David Smithe is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, David Smithe has authored 120 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Electrical and Electronic Engineering, 61 papers in Atomic and Molecular Physics, and Optics and 50 papers in Aerospace Engineering. Recurrent topics in David Smithe's work include Gyrotron and Vacuum Electronics Research (49 papers), Particle accelerators and beam dynamics (47 papers) and Magnetic confinement fusion research (42 papers). David Smithe is often cited by papers focused on Gyrotron and Vacuum Electronics Research (49 papers), Particle accelerators and beam dynamics (47 papers) and Magnetic confinement fusion research (42 papers). David Smithe collaborates with scholars based in United States, South Korea and Australia. David Smithe's co-authors include B. Goplen, G.D. Alton, John Pasour, M. Friedman, L. Ludeking, Thomas G. Jenkins, T. Kammash, Ming–Chieh Lin, Peter Stoltz and R. Dümont and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

David Smithe

104 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Smithe United States 21 600 505 504 448 303 120 1.1k
S. Alberti Switzerland 21 498 0.8× 826 1.6× 449 0.9× 633 1.4× 182 0.6× 130 1.2k
T. M. Tran Switzerland 19 279 0.5× 418 0.8× 705 1.4× 399 0.9× 550 1.8× 68 1.1k
Thomas J. T. Kwan United States 13 607 1.0× 669 1.3× 177 0.4× 334 0.7× 112 0.4× 53 944
E.P. Gilson United States 18 335 0.6× 369 0.7× 748 1.5× 509 1.1× 231 0.8× 107 1.2k
D. A. Rasmussen United States 19 287 0.5× 255 0.5× 846 1.7× 451 1.0× 233 0.8× 168 1.1k
A.W. Molvik United States 17 434 0.7× 183 0.4× 686 1.4× 409 0.9× 194 0.6× 101 1.0k
A. G. Shalashov Russia 17 401 0.7× 300 0.6× 705 1.4× 372 0.8× 268 0.9× 106 929
C. A. Kapetanakos United States 19 484 0.8× 595 1.2× 560 1.1× 459 1.0× 139 0.5× 74 1.1k
B.M. Marder United States 17 290 0.5× 321 0.6× 262 0.5× 277 0.6× 186 0.6× 33 807
D. W. Swain United States 16 222 0.4× 151 0.3× 749 1.5× 269 0.6× 337 1.1× 79 927

Countries citing papers authored by David Smithe

Since Specialization
Citations

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

Fields of papers citing papers by David Smithe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Smithe

This figure shows the co-authorship network connecting the top 25 collaborators of David Smithe. A scholar is included among the top collaborators of David Smithe 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 David Smithe. David Smithe 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.
Umansky, M., B. Dudson, Thomas G. Jenkins, J. R. Myra, & David Smithe. (2025). Modeling of convective cells, turbulence, and transport induced by a radio-frequency antenna in the tokamak boundary plasma. Plasma Physics and Controlled Fusion. 67(11). 115025–115025.
2.
Smithe, David, et al.. (2024). Spoke Characterization in Re-Entrant Backward Wave Crossed-Field Amplifiers via Simulation. IEEE Transactions on Electron Devices. 71(8). 5020–5027. 1 indexed citations
3.
Smithe, David, et al.. (2022). Simulation of a Pulsed 4.7 MW L-Band Crossed-Field Amplifier. IEEE Transactions on Electron Devices. 69(12). 7053–7058. 3 indexed citations
4.
Green, David L., C. L. Waters, J. Lore, et al.. (2022). Ponderomotive force driven density modifications parallel to B on the LAPD. Physics of Plasmas. 29(4). 4 indexed citations
5.
Bonoli, P. T., E. D’Azevedo, N. Bertelli, et al.. (2019). Recent Results from the SciDAC Center for Simulation of Fusion Relevant RF Actuators. Bulletin of the American Physical Society. 2019. 1 indexed citations
6.
Miller, Nicholas C., Matt Grupen, Kris Beckwith, David Smithe, & John D. Albrecht. (2018). Computational study of Fermi kinetics transport applied to large-signal RF device simulations. Journal of Computational Electronics. 17(4). 1658–1675. 7 indexed citations
7.
Smithe, David & Thomas G. Jenkins. (2017). Simulations of Low Power DIII-D Helicon Antenna Coupling. APS Division of Plasma Physics Meeting Abstracts. 2017.
8.
Lin, Ming–Chieh, Chuandong Zhou, & David Smithe. (2014). An External Circuit Model for 3-D Electromagnetic Particle-In-Cell Simulations. IEEE Transactions on Electron Devices. 61(6). 1742–1748. 6 indexed citations
9.
Veitzer, Seth, David Smithe, & Peter Stoltz. (2012). Application of new simulation algorithms for modeling rf diagnostics of electron clouds. AIP conference proceedings. 404–409.
10.
Veitzer, Seth, David Smithe, & Peter Stoltz. (2011). ADVANCED MODELING OF TE MICROWAVE DIAGNOSTICS OF ELECTRON CLOUDS.
11.
Nieter, C., et al.. (2007). Self-consistent simulations of multipacting in superconducting radio frequencies. 3. 769–771. 3 indexed citations
12.
Nieter, C., John R. Cary, Peter Messmer, et al.. (2005). Modeling of complex geometries with the plasma simulation code VORPAL. Bulletin of the American Physical Society. 47.
13.
Jaeger, E. F., L. A. Berry, J. R. Myra, et al.. (2003). Sheared Poloidal Flow Driven by Mode Conversion in Tokamak Plasmas. Physical Review Letters. 90(19). 195001–195001. 52 indexed citations
14.
Smithe, David, M. Bettenhausen, C. K. Phillips, et al.. (1998). Velocity Distribution Effects on ICRF Heating and Mode-Conversion. APS. 1 indexed citations
15.
Alton, G.D. & David Smithe. (1997). An advanced ECR ion source with a large uniformly distributed ECR plasma volume for multiply charged ion beam generation. Physica Scripta. T71. 66–74. 5 indexed citations
16.
Friedman, M., John Pasour, & David Smithe. (1997). Modulating electron beams for an X band relativistic klystron amplifier. Applied Physics Letters. 71(25). 3724–3726. 37 indexed citations
17.
Jensen, Kevin L., E.G. Zaidman, M.A. Kodis, B. Goplen, & David Smithe. (1996). Analytical and seminumerical models for gated field emitter arrays. I. Theory. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 14(3). 1942–1946. 33 indexed citations
18.
Phillips, C. K., J. R. Wilson, J. C. Hosea, R. Majeski, & David Smithe. (1994). Comments on finite Larmor radius models for ion cyclotron range of frequencies heating in tokamaks. Physics of Plasmas. 1(12). 3905–3907. 2 indexed citations
19.
Alton, G.D. & David Smithe. (1994). Design studies for an advanced ECR ion source. Review of Scientific Instruments. 65(4). 775–787. 52 indexed citations
20.
Smithe, David. (1987). Parallel Gradient Effects on ICRH in Tokamaks.. Deep Blue (University of Michigan).

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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