David L. Green

2.2k total citations
84 papers, 1.8k citations indexed

About

David L. Green is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, David L. Green has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 21 papers in Nuclear and High Energy Physics and 19 papers in Aerospace Engineering. Recurrent topics in David L. Green's work include Magnetic confinement fusion research (19 papers), Plasma Diagnostics and Applications (12 papers) and Particle accelerators and beam dynamics (12 papers). David L. Green is often cited by papers focused on Magnetic confinement fusion research (19 papers), Plasma Diagnostics and Applications (12 papers) and Particle accelerators and beam dynamics (12 papers). David L. Green collaborates with scholars based in United States, Australia and United Kingdom. David L. Green's co-authors include Daniel F. Sunday, Alan Graham, Ján Ilavský, Allen P. Davis, Jan Mewis, Stephen Q. Muth, John J. Potterat, James O. Johnston, Roderick H. Turner and K D Harrington and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

David L. Green

78 papers receiving 1.6k 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 L. Green United States 24 431 265 236 217 211 84 1.8k
Atsushi Ito Japan 24 896 2.1× 83 0.3× 236 1.0× 81 0.4× 177 0.8× 141 2.2k
Shaun C. Hendy New Zealand 27 901 2.1× 89 0.3× 334 1.4× 53 0.2× 74 0.4× 112 2.0k
Bengt Jönsson Sweden 32 275 0.6× 46 0.2× 192 0.8× 140 0.6× 832 3.9× 66 2.5k
Satoru Kaneko Japan 30 681 1.6× 92 0.3× 573 2.4× 871 4.0× 300 1.4× 340 4.0k
Masatoshi Saito Japan 34 742 1.7× 250 0.9× 422 1.8× 40 0.2× 231 1.1× 327 4.4k
Zhongwen Wu China 29 366 0.8× 813 3.1× 243 1.0× 67 0.3× 181 0.9× 181 2.8k
Henrik Jensen Denmark 49 502 1.2× 116 0.4× 907 3.8× 35 0.2× 387 1.8× 211 7.3k
Barbara S. Smith United States 22 277 0.6× 55 0.2× 376 1.6× 38 0.2× 25 0.1× 58 1.9k
Yong Kyun Kim South Korea 23 432 1.0× 35 0.1× 458 1.9× 215 1.0× 45 0.2× 212 2.5k
Mahdi Sadeghi Iran 25 371 0.9× 34 0.1× 207 0.9× 273 1.3× 58 0.3× 285 2.5k

Countries citing papers authored by David L. Green

Since Specialization
Citations

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

Fields of papers citing papers by David L. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Green

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Green. A scholar is included among the top collaborators of David L. Green 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 L. Green. David L. Green 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.
Kanack, Adam J., Geoffrey D. Wool, Mouhamed Yazan Abou‐Ismail, et al.. (2024). Clonal Persistence of Anti-PF4 Antibodies in VITT Represents an MGTS-like State. Blood. 144(Supplement 1). 1227–1227.
2.
Endeve, Eirik, Miroslav Stoyanov, Cory D. Hauck, et al.. (2024). Sparse-grid discontinuous Galerkin methods for the Vlasov–Poisson–Lenard–Bernstein model. Journal of Computational Physics. 510. 113053–113053. 1 indexed citations
3.
Pascuale, S. De, et al.. (2023). Compression of tokamak boundary plasma simulation data using a maximum volume algorithm for matrix skeleton decomposition. Journal of Computational Physics. 484. 112089–112089. 1 indexed citations
4.
Icenhour, Casey, Alexander Lindsay, Cody Permann, et al.. (2023). The MOOSE electromagnetics module. SoftwareX. 25. 101621–101621. 1 indexed citations
5.
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
6.
Pascuale, S. De, David L. Green, & J. Lore. (2022). Data-driven linear time advance operators for the acceleration of plasma physics simulation. Physics of Plasmas. 29(11). 3 indexed citations
7.
Najm, Habib N., R. Doerner, D. Nishijima, et al.. (2021). Quantification of the effect of uncertainty on impurity migration in PISCES-A simulated with GITR. Nuclear Fusion. 62(5). 56007–56007. 1 indexed citations
8.
Bernholdt, David E., et al.. (2018). Comparing theory based and higher-order reduced models for fusion simulation data. 3(2). 41–53. 1 indexed citations
9.
Diem, S. J., David L. Green, R. W. Harvey, & Yuri Petrov. (2018). An electron Bernstein wave heating scheme for the Proto-MPEX linear device. Physics of Plasmas. 25(7). 24 indexed citations
10.
Lin, Richard J., David L. Green, & Gunjan L. Shah. (2017). Therapeutic Anticoagulation in Patients with Primary Brain Tumors or Secondary Brain Metastasis. The Oncologist. 23(4). 468–473. 25 indexed citations
11.
Farrell, Zachary J., et al.. (2016). Theoretical and Experimental Investigation of Microphase Separation in Mixed Thiol Monolayers on Silver Nanoparticles. ACS Nano. 10(11). 9871–9878. 17 indexed citations
12.
Farrell, Zachary J., et al.. (2015). Development of Experiment and Theory to Detect and Predict Ligand Phase Separation on Silver Nanoparticles. Angewandte Chemie International Edition. 54(22). 6479–6482. 19 indexed citations
13.
Sunday, Daniel F., Ján Ilavský, & David L. Green. (2012). A Phase Diagram for Polymer-Grafted Nanoparticles in Homopolymer Matrices. Macromolecules. 45(9). 4007–4011. 134 indexed citations
14.
Green, David L. & Simon Karpatkin. (2009). Effect of Cancer on Platelets. Cancer treatment and research. 148. 17–30. 6 indexed citations
15.
Green, David L., C. L. Waters, H. Korth, & B. J. Anderson. (2008). Validation of southern hemisphere field-aligned currents calculated from iridium magnetic field data. NOVA (University of Newcastle Australia). 1 indexed citations
16.
Green, David L. & Jan Mewis. (2006). Connecting the Wetting and Rheological Behaviors of Poly(dimethylsiloxane)-Grafted Silica Spheres in Poly(dimethylsiloxane) Melts. Langmuir. 22(23). 9546–9553. 83 indexed citations
17.
Falk, Robert H., et al.. (2000). Engineering evaluation of 55-year-old timber columns recycled from an industrial military building. Forest Products Journal. 50(4). 71–74. 16 indexed citations
18.
Potterat, John J., et al.. (1999). Chiamydia Transmission: Concurrency, Reproduction Number, and the Epidemic Trajectory. American Journal of Epidemiology. 150(12). 1331–1339. 155 indexed citations
19.
Potterat, John J., et al.. (1999). Establishing Efficient Partner Notification Periods for Patients With Chlamydia. Sexually Transmitted Diseases. 26(1). 49–54. 20 indexed citations
20.
Green, David L.. (1990). Optical constants of sputtered WO_3. Applied Optics. 29(31). 4547–4547. 15 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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