A.C. Cangellaris

6.7k total citations
299 papers, 4.9k citations indexed

About

A.C. Cangellaris is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Astronomy and Astrophysics. According to data from OpenAlex, A.C. Cangellaris has authored 299 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 267 papers in Electrical and Electronic Engineering, 107 papers in Atomic and Molecular Physics, and Optics and 51 papers in Astronomy and Astrophysics. Recurrent topics in A.C. Cangellaris's work include Electromagnetic Simulation and Numerical Methods (141 papers), Electromagnetic Compatibility and Noise Suppression (137 papers) and Electromagnetic Scattering and Analysis (94 papers). A.C. Cangellaris is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (141 papers), Electromagnetic Compatibility and Noise Suppression (137 papers) and Electromagnetic Scattering and Analysis (94 papers). A.C. Cangellaris collaborates with scholars based in United States, China and Germany. A.C. Cangellaris's co-authors include M. Celik, Vladimir Okhmatovski, Yu Zhu, Albert E. Ruehli, J.L. Prince, J.-F. Lee, J. Morsey, A.E. Ruehli, Lanhao Zhao and Hong Wu and has published in prestigious journals such as Physical Review Letters, Proceedings of the IEEE and Journal of Computational Physics.

In The Last Decade

A.C. Cangellaris

283 papers receiving 4.6k citations

Peers

A.C. Cangellaris

EEE

AMPO

SNP

Albert E. Ruehli United States

Michał Mrozowski Poland

Joel Phillips United States

Giulio Antonini Italy

T. Weiland Germany

Jin‐Fa Lee United States

Hakan Bağcı Saudi Arabia

C. Christopoulos United Kingdom

P. Russer Germany

Markus Clemens Germany

Albert E. Ruehli United States

A.C. Cangellaris

5.5k ×1.3

EEE

1.2k ×0.6

AMPO

767 ×1.0

860 ×1.4

435 ×1.0

SNP

Citations per year, relative to A.C. Cangellaris A.C. Cangellaris (= 1×) peers Albert E. Ruehli

Countries citing papers authored by A.C. Cangellaris

Since Specialization

Citations

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

Fields of papers citing papers by A.C. Cangellaris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.C. Cangellaris

This figure shows the co-authorship network connecting the top 25 collaborators of A.C. Cangellaris. A scholar is included among the top collaborators of A.C. Cangellaris 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 A.C. Cangellaris. A.C. Cangellaris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schutt‐Ainé, José E., et al.. (2019). Stochastic LIM for Transient Solution of Electromagnetic and Circuit Problems with Uncertainties. 8712858. 2 indexed citations

Ma, Hanzhi, Er‐Ping Li, José E. Schutt‐Ainé, & A.C. Cangellaris. (2019). Deep Learning Method for Prediction of Planar Radiating Sources from Near-Field Intensity Data. 610–615. 11 indexed citations

Ma, Xiao, Maxim Raginsky, & A.C. Cangellaris. (2018). A machine learning methodology for inferring network S-parameters in the presence of variability. 1–4. 7 indexed citations

Cangellaris, A.C., et al.. (2014). Preconditioned adaptive integral method for fast electromagnetic analysis of arrays of through-silicon vias. 1–4.

Cangellaris, A.C., et al.. (2011). Transient analysis of distributed electromagnetic systems exhibiting stochastic variability in material parameters. 1–4. 12 indexed citations

Russer, Johannes A. & A.C. Cangellaris. (2008). An efficient methodology for the modeling of electromagnetic wave phenomena in domains with moving boundaries. 14. 157–160. 7 indexed citations

Ramachandran, Anand, et al.. (2007). SPICE‐compatible stamps for semi‐discrete approximations of Maxwell's equations. International Journal of Numerical Modelling Electronic Networks Devices and Fields. 21(4). 265–277. 1 indexed citations

Cangellaris, A.C., et al.. (2006). Stability of a hybrid FDTD‐circuit model for on‐chip power‐grid switching analysis. Microwave and Optical Technology Letters. 48(4). 644–649. 1 indexed citations

Okhmatovski, Vladimir & A.C. Cangellaris. (2004). Evaluation of layered media Green's functions via rational function fitting. IEEE Microwave and Wireless Components Letters. 14(1). 22–24. 54 indexed citations

10.

Wu, Hong & A.C. Cangellaris. (2004). Model-Order Reduction of Finite-Element Approximations of Passive Electromagnetic Devices Including Lumped Electrical-Circuit Models. IEEE Transactions on Microwave Theory and Techniques. 52(9). 2305–2313. 53 indexed citations

11.

Yioultsis, Traianos V., et al.. (2003). Passive Synthesis of Compact Frequency-Dependent Interconnect Models via Quadrature Spectral Rules. International Conference on Computer Aided Design. 827–834. 5 indexed citations

12.

Okhmatovski, Vladimir, J. Morsey, & A.C. Cangellaris. (2003). An efficient integral equation solver for the electromagnetic modeling of highly-integrated planar RF/microwave circuits. 3. 1897–1900. 2 indexed citations

13.

Cangellaris, A.C., et al.. (2002). Rules for robust generation of accurate reduced-order models of high-speed coupled interconnections. 502–507. 2 indexed citations

14.

Morsey, J., et al.. (2002). A new broadband transmission line model for accurate simulation of dispersive interconnects. 345–351. 10 indexed citations

15.

Cangellaris, A.C. & Craig Jin. (1999). Macro-Elements for Accurate Dispersive Modeling of Thin Material Sheets and Impedance Boundary Conditions in FDTD. 357–362. 2 indexed citations

16.

Celik, M. & A.C. Cangellaris. (1996). A general dispersive multiconductor transmission line model for interconnect simulation in SPICE. International Conference on Computer Aided Design. 563–568. 5 indexed citations

17.

Cangellaris, A.C., et al.. (1994). Dispersion analysis of multiconductor waveguiding systems using point-matched time domain finite elements. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 13. 243–248. 1 indexed citations

18.

Cangellaris, A.C., et al.. (1991). Frequency-dependent [L] and [R] matrices for lossy microstrip lines. 8(4). 281–318. 11 indexed citations

19.

Cangellaris, A.C., et al.. (1991). Dispersion of picosecond pulses propagating on microstrip interconnections on semiconductor integrated-circuit substrates. Proceedings of SPIE - The International Society for Optical Engineering. 1389. 297–301. 1 indexed citations

20.

Cangellaris, A.C.. (1988). Importance of skin-effect in microstrip lines at high frequencies.. 1988. 197–198. 13 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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