William A. Johnson

3.1k total citations · 1 hit paper
131 papers, 1.5k citations indexed

About

William A. Johnson is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, William A. Johnson has authored 131 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Electrical and Electronic Engineering, 58 papers in Atomic and Molecular Physics, and Optics and 33 papers in Aerospace Engineering. Recurrent topics in William A. Johnson's work include Electromagnetic Scattering and Analysis (48 papers), Electromagnetic Simulation and Numerical Methods (43 papers) and Electromagnetic Compatibility and Measurements (24 papers). William A. Johnson is often cited by papers focused on Electromagnetic Scattering and Analysis (48 papers), Electromagnetic Simulation and Numerical Methods (43 papers) and Electromagnetic Compatibility and Measurements (24 papers). William A. Johnson collaborates with scholars based in United States, Italy and Spain. William A. Johnson's co-authors include Donald R. Wilton, Larry K. Warne, H. A. Krebs, Richard W. Ziolkowski, Filippo Capolino, Francesca Vipiana, R. Wolfe, D.G. Dudley, J. C. North and Lorena I. Basilio and has published in prestigious journals such as Journal of Applied Physics, Proceedings of the IEEE and Journal of The Electrochemical Society.

In The Last Decade

William A. Johnson

113 papers receiving 1.4k citations

Hit Papers

CRISPR-GPT for agentic automation of gene-editing experim... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William A. Johnson United States 20 981 687 367 224 160 131 1.5k
Eng Leong Tan Singapore 24 1.6k 1.6× 1.2k 1.7× 253 0.7× 321 1.4× 303 1.9× 209 2.5k
Bin Guo China 23 512 0.5× 902 1.3× 187 0.5× 442 2.0× 367 2.3× 139 2.0k
K.G. Balmain Canada 19 842 0.9× 262 0.4× 481 1.3× 86 0.4× 160 1.0× 89 1.3k
Tomoyuki Murakami Japan 18 764 0.8× 167 0.2× 495 1.3× 78 0.3× 96 0.6× 141 1.6k
Wei Lin China 28 1.9k 2.0× 754 1.1× 78 0.2× 567 2.5× 123 0.8× 263 2.8k
Thomas Weiland Germany 21 1.5k 1.5× 697 1.0× 476 1.3× 354 1.6× 161 1.0× 281 2.1k
Mengmeng Li China 20 520 0.5× 365 0.5× 413 1.1× 182 0.8× 298 1.9× 146 1.3k
Pu Zhang China 20 588 0.6× 550 0.8× 104 0.3× 592 2.6× 483 3.0× 117 1.5k
Cunlin Zhang China 22 1.6k 1.6× 785 1.1× 293 0.8× 405 1.8× 362 2.3× 223 2.4k

Countries citing papers authored by William A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by William A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Johnson. 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 William A. Johnson. The network helps show where William A. Johnson may publish in the future.

Co-authorship network of co-authors of William A. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of William A. Johnson. A scholar is included among the top collaborators of William A. Johnson 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 William A. Johnson. William A. Johnson 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.
Huang, Kaixuan, Ming Yin, Kehui Zhan, et al.. (2025). CRISPR-GPT for agentic automation of gene-editing experiments. Nature Biomedical Engineering. 10(2). 245–258. 16 indexed citations breakdown →
2.
Martín, Victor F., M. Ricci, Donald R. Wilton, William A. Johnson, & Francesca Vipiana. (2024). Automatic MoM Source Integral Quadrature Selection via a Machine Learning Approach. 1–3. 1 indexed citations
4.
Rivero, J., Victor F. Martín, Donald R. Wilton, William A. Johnson, & Francesca Vipiana. (2023). Efficient Evaluation of Test Integrals for Surface Method of Moments Based on Vertex Functions. 234–234.
5.
Johnson, William A., et al.. (2021). Manufactured solutions for the method-of-moments implementation of the electric-field integral equation. Journal of Computational Physics. 443. 110538–110538. 11 indexed citations
6.
Johnson, William A., et al.. (2020). Symmetric triangle quadrature rules for arbitrary functions. Computers & Mathematics with Applications. 79(10). 2885–2896. 7 indexed citations
7.
Bleszyński, E., M. Bleszyński, T. Jaroszewicz, et al.. (2018). Analytical treatment of the near field term of the Green function of planarly stratified media. 683–686.
8.
Campione, Salvatore, Larry K. Warne, R. S. Coats, et al.. (2017). A first principles cable braid electromagnetic penetration model. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). sand2016. 1842–1844.
9.
Valerio, Guido, S. Paulotto, Paolo Baccarelli, et al.. (2015). Efficient Computation of 1-D Periodic Layered Mixed Potentials for the Analysis of Leaky-Wave Antennas With Vertical Elements. IEEE Transactions on Antennas and Propagation. 63(6). 2396–2411. 11 indexed citations
10.
Warne, Larry K., Lorena I. Basilio, William L. Langston, William A. Johnson, & Michael B. Sinclair. (2011). Perturbation Theory in the Design of Degenerate Dielectric Metamaterial Resonators.. IEEE Transactions on Antennas and Propagation. 1 indexed citations
11.
Basilio, Lorena I., Larry K. Warne, William A. Johnson, William L. Langston, & Michael B. Sinclair. (2010). A Metamaterial Design Procedure with Application to an Infrared Negative-Index Layer Based on Single-Species Particles.. IEEE Antennas and Wireless Propagation Letters. 1 indexed citations
12.
Paulotto, S., Guido Valerio, David R. Jackson, et al.. (2010). Efficient calculation of 1-D periodic Green's functions for leaky-wave applications. IRIS Research product catalog (Sapienza University of Rome). 204–207. 5 indexed citations
13.
Basilio, Lorena I., Larry K. Warne, William L. Langston, William A. Johnson, & Michael B. Sinclair. (2010). An effective media toolset for use in metamaterial design. 143. 577–580. 4 indexed citations
14.
Capolino, Filippo, Donald R. Wilton, & William A. Johnson. (2006). Efficient computation of the 3D Green's function with one dimensional periodicity using the Ewald method. 2006 IEEE Antennas and Propagation Society International Symposium. 2847–2850. 4 indexed citations
15.
Johnson, William A., et al.. (2005). Modeling of braided shields.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
17.
Seidel, D. B., Mark L. Kiefer, R. S. Coats, et al.. (1991). The 3-D, Electromagnetic, Particle-In-Cell Code, QUICKSILVER. International Journal of Modern Physics C. 2(1). 475–482. 17 indexed citations
19.
Burke, G.J., William A. Johnson, & E.K. Miller. (1983). Modeling of simple antennas near to and penetrating an interface. Proceedings of the IEEE. 71(1). 174–175. 11 indexed citations
20.
Johnson, William A.. (1976). Improving gas dielectric performance for substation design. 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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