Patricio Farrell

1.0k total citations
50 papers, 676 citations indexed

About

Patricio Farrell is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Patricio Farrell has authored 50 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 19 papers in Computational Mechanics and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Patricio Farrell's work include Advanced Numerical Methods in Computational Mathematics (12 papers), GaN-based semiconductor devices and materials (9 papers) and Semiconductor Quantum Structures and Devices (8 papers). Patricio Farrell is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (12 papers), GaN-based semiconductor devices and materials (9 papers) and Semiconductor Quantum Structures and Devices (8 papers). Patricio Farrell collaborates with scholars based in Germany, Italy and United Kingdom. Patricio Farrell's co-authors include Gerard Gorman, Matthew D. Piggott, Christopher C. Pain, C. R. Wilson, Thomas Koprucki, Jürgen Fuhrmann, Simona Perotto, Stefano Micheletti, Holger Wendland and I. M. Navon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Patricio Farrell

45 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricio Farrell Germany 14 295 198 92 82 80 50 676
Bartosz Protas Canada 18 551 1.9× 274 1.4× 150 1.6× 43 0.5× 30 0.4× 73 1.0k
David Medina United States 7 167 0.6× 81 0.4× 24 0.3× 48 0.6× 34 0.4× 10 400
Sergio Chibbaro France 21 792 2.7× 191 1.0× 140 1.5× 85 1.0× 35 0.4× 59 1.2k
PN Shankar India 16 979 3.3× 159 0.8× 102 1.1× 49 0.6× 74 0.9× 57 1.4k
J. M. McDonough United States 14 496 1.7× 59 0.3× 70 0.8× 41 0.5× 85 1.1× 78 920
V. V. Meleshko Ukraine 15 227 0.8× 37 0.2× 86 0.9× 47 0.6× 200 2.5× 45 665
Arnold D. Kim United States 16 122 0.4× 93 0.5× 35 0.4× 147 1.8× 22 0.3× 68 819
David W. Watt United States 12 481 1.6× 73 0.4× 21 0.2× 192 2.3× 60 0.8× 37 838
J.J.W. van der Vegt Netherlands 19 1.1k 3.6× 267 1.3× 110 1.2× 108 1.3× 169 2.1× 85 1.3k
Ferenc Járai-Szabó Romania 8 115 0.4× 217 1.1× 31 0.3× 132 1.6× 28 0.3× 33 608

Countries citing papers authored by Patricio Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Patricio Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricio Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of Patricio Farrell. A scholar is included among the top collaborators of Patricio Farrell 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 Patricio Farrell. Patricio Farrell 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.
Farrell, Patricio, et al.. (2024). A Weighted Hybridizable Discontinuous Galerkin Method for Drift-Diffusion Problems. Journal of Scientific Computing. 99(2). 1 indexed citations
2.
Merdon, Christian, et al.. (2024). An energy‐based finite‐strain model for 3D heterostructured materials and its validation by curvature analysis. International Journal for Numerical Methods in Engineering. 125(19).
3.
Chainais-Hillairet, Claire, et al.. (2023). Numerical analysis of a finite volume scheme for charge transport in perovskite solar cells. IMA Journal of Numerical Analysis. 44(2). 1090–1129. 2 indexed citations
4.
Courtier, Nicola E., et al.. (2023). Volume exclusion effects in perovskite charge transport modeling. Optical and Quantum Electronics. 55(10).
5.
Spetzler, Benjamin, et al.. (2023). The Role of Vacancy Dynamics in Two‐Dimensional Memristive Devices. Advanced Electronic Materials. 10(1). 15 indexed citations
6.
7.
Farrell, Patricio, et al.. (2021). Assessing the quality of the excess chemical potential flux scheme for degenerate semiconductor device simulation. Optical and Quantum Electronics. 53(3). 7 indexed citations
8.
Farrell, Patricio, et al.. (2021). Modeling and simulation of the lateral photovoltage scanning method. Computers & Mathematics with Applications. 102. 248–260. 4 indexed citations
9.
Dropka, Natasha, et al.. (2021). Assessing doping inhomogeneities in GaAs crystal via simulations of lateral photovoltage scanning method. Journal of Crystal Growth. 571. 126248–126248. 1 indexed citations
10.
Selmer, Ilka, Patricio Farrell, Ирина Смирнова, & Pavel Gurikov. (2020). Comparison of Finite Difference and Finite Volume Simulations for a Sc-Drying Mass Transport Model. Gels. 6(4). 45–45. 3 indexed citations
11.
Kunkel, Julian, et al.. (2019). What company does my news article refer to? Tackling multiclass problems with topic modeling. Open MIND. 353–364. 1 indexed citations
12.
Farrell, Patricio & Dirk Peschka. (2019). Nonlinear diffusion, boundary layers and nonsmoothness: Analysis of challenges in drift–diffusion semiconductor simulations. Computers & Mathematics with Applications. 78(12). 3731–3747. 8 indexed citations
13.
Selmer, Ilka, et al.. (2018). Model development for sc-drying kinetics of aerogels: Part 2. Packed bed of spherical particles. The Journal of Supercritical Fluids. 147. 149–161. 13 indexed citations
14.
Farrell, Patricio, et al.. (2018). Comparison of thermodynamically consistent charge carrier flux discretizations for Fermi–Dirac and Gauss–Fermi statistics. Optical and Quantum Electronics. 50(2). 8 indexed citations
15.
Farrell, Patricio, et al.. (2018). Highly Accurate Discretizations for non-Boltzmann Charge Transport in Semiconductors. 53–54. 1 indexed citations
16.
Dassi, Franco, et al.. (2017). Tetrahedral mesh improvement using moving mesh smoothing, lazy searching flips, and RBF surface reconstruction. Computer-Aided Design. 103. 2–13. 7 indexed citations
17.
Dassi, Franco, Patricio Farrell, & Hang Si. (2016). A novel surface remeshing scheme via higher dimensional embedding and radial basis functions. TIB Repositorium. 2 indexed citations
18.
Farrell, Patricio, et al.. (2016). Numerical methods for drift-diffusion models. TIB Repositorium. 9 indexed citations
19.
Koprucki, Thomas, et al.. (2014). On thermodynamic consistency of a Scharfetter–Gummel scheme based on a modified thermal voltage for drift-diffusion equations with diffusion enhancement. Optical and Quantum Electronics. 47(6). 1327–1332. 19 indexed citations
20.
Piggott, Matthew D., Patricio Farrell, C. R. Wilson, Gerard Gorman, & Christopher C. Pain. (2009). Anisotropic mesh adaptivity for multi-scale ocean modelling. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1907). 4591–4611. 69 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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