Marley Becerra

1.6k total citations
87 papers, 1.2k citations indexed

About

Marley Becerra is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, Marley Becerra has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 47 papers in Astronomy and Astrophysics and 42 papers in Materials Chemistry. Recurrent topics in Marley Becerra's work include Lightning and Electromagnetic Phenomena (46 papers), High voltage insulation and dielectric phenomena (37 papers) and Power Transformer Diagnostics and Insulation (16 papers). Marley Becerra is often cited by papers focused on Lightning and Electromagnetic Phenomena (46 papers), High voltage insulation and dielectric phenomena (37 papers) and Power Transformer Diagnostics and Insulation (16 papers). Marley Becerra collaborates with scholars based in Sweden, Colombia and Germany. Marley Becerra's co-authors include Vernon Cooray, Lipeng Liu, Vernon Cooray, Rajeev Thottappillil, Francisco Román, Raúl Montaño, Wolfgang Schulz, M. S. Abd Rahman, Serge Soula and Serge Chauzy and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Marley Becerra

82 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marley Becerra Sweden 17 841 693 564 262 176 87 1.2k
Takatoshi Shindo Japan 18 857 1.0× 530 0.8× 291 0.5× 384 1.5× 230 1.3× 102 1.1k
F.A.M. Rizk Canada 24 1.1k 1.4× 1.1k 1.6× 877 1.6× 353 1.3× 501 2.8× 66 2.1k
Nobuyuki Takagi Japan 22 1.5k 1.8× 607 0.9× 367 0.7× 866 3.3× 102 0.6× 100 1.6k
F. Heidler Germany 18 1.3k 1.5× 866 1.2× 331 0.6× 365 1.4× 364 2.1× 77 1.4k
K. J. Rambo United States 30 2.4k 2.9× 1.4k 2.0× 635 1.1× 874 3.3× 353 2.0× 54 2.5k
J. D. Hill United States 23 1.2k 1.4× 491 0.7× 298 0.5× 643 2.5× 63 0.4× 48 1.3k
T. Kawamurа Japan 12 718 0.9× 424 0.6× 326 0.6× 112 0.4× 402 2.3× 29 856
Ronald B. Standler United States 9 491 0.6× 714 1.0× 117 0.2× 140 0.5× 130 0.7× 34 1.0k
M. Ianoz Switzerland 16 2.2k 2.6× 1.9k 2.8× 426 0.8× 401 1.5× 1.1k 6.1× 68 2.5k
Mohammad Azadifar‬ Switzerland 16 407 0.5× 371 0.5× 171 0.3× 138 0.5× 50 0.3× 59 676

Countries citing papers authored by Marley Becerra

Since Specialization
Citations

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

Fields of papers citing papers by Marley Becerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marley Becerra

This figure shows the co-authorship network connecting the top 25 collaborators of Marley Becerra. A scholar is included among the top collaborators of Marley Becerra 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 Marley Becerra. Marley Becerra 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.
Zhao, Xiangen, et al.. (2023). Ionization Activity Detected During Dark Periods in Long Air Positive Sparks. Journal of Geophysical Research Atmospheres. 128(10). 2 indexed citations
2.
Becerra, Marley, et al.. (2023). Spectral and electric diagnostics of low-current arc plasmas in CO2 with N2 and H2O admixtures. Journal of Physics D Applied Physics. 57(1). 15202–15202. 3 indexed citations
3.
Zhao, Xiangen, Marley Becerra, Yongchao Yang, & Junjia He. (2021). Elongation and branching of stem channels produced by positive streamers in long air gaps. Scientific Reports. 11(1). 4120–4120. 16 indexed citations
4.
Becerra, Marley, Jonas Pettersson, Steffen Franke, & Sergey Gortschakow. (2019). Temperature and pressure profiles of an ablation-controlled arc plasma in air. Journal of Physics D Applied Physics. 52(43). 434003–434003. 5 indexed citations
5.
Pettersson, Jonas, Marley Becerra, Steffen Franke, & Sergey Gortschakow. (2019). Spectroscopic and Photographic Evaluation of the Near-Surface Layer Produced by Arc-Induced Polymer Ablation. IEEE Transactions on Plasma Science. 47(4). 1851–1858. 3 indexed citations
6.
Becerra, Marley, et al.. (2018). Advanced Test Circuit for DC Circuit Breakers. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6 indexed citations
7.
Liu, Lipeng & Marley Becerra. (2017). On the critical charge required for positive leader inception in long air gaps. Journal of Physics D Applied Physics. 51(3). 35202–35202. 27 indexed citations
8.
Liu, Lipeng & Marley Becerra. (2017). Gas heating dynamics during leader inception in long air gaps at atmospheric pressure. Journal of Physics D Applied Physics. 50(34). 345202–345202. 55 indexed citations
9.
Liu, Lipeng & Marley Becerra. (2017). Application of the Position-State Separation Method to Simulate Streamer Discharges in Arbitrary Geometries. IEEE Transactions on Plasma Science. 45(4). 594–602. 10 indexed citations
10.
Liu, Lipeng & Marley Becerra. (2016). An Efficient Semi-Lagrangian Algorithm for Simulation of Corona Discharges: The Position-State Separation Method. IEEE Transactions on Plasma Science. 44(11). 2822–2831. 9 indexed citations
11.
Liu, Lipeng & Marley Becerra. (2014). On the transition from positive glow corona to streamers in air. 4 indexed citations
12.
Becerra, Marley, et al.. (2014). Arc jets blown by outgassing polymers in air. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–4. 5 indexed citations
13.
Becerra, Marley, et al.. (2012). CARACTERIZACIÓN ESPACIAL DE LA COMPACTACIÓN EN TERRENOS AGRÍCOLAS DE CIAT, COLOMBIA. 8(16). 33–37.
14.
Becerra, Marley, Francisco Román, & Vernon Cooray. (2008). Lightning attachment to common structures : is the rolling sphere method really adequate?. International Conference on Lightning Protection. 3 indexed citations
15.
Becerra, Marley & Vernon Cooray. (2008). Early streamer emission principle does not work under natural lightning. International Conference on Lightning Protection. 6 indexed citations
16.
Rahman, Mahbubur, et al.. (2008). NOX production in laboratory discharges. International Conference on Lightning Protection. 1 indexed citations
17.
Becerra, Marley & Vernon Cooray. (2006). An improved upward leader propagation model. International Conference on Lightning Protection. 581–586. 2 indexed citations
18.
Becerra, Marley & Vernon Cooray. (2006). Dynamic modeling of the lightning upward connecting leader inception. International Conference on Lightning Protection. 543–548. 4 indexed citations
19.
Cooray, Vernon, Gerhard Diendorfer, C.A. Nucci, et al.. (2006). On The Effect of The Finite Ground Conductivity on Electromagnetic Field Radiated by Lightning to Tall Towers. ArODES (HES-SO (https://www.hes-so.ch/)). 267–272. 10 indexed citations
20.
Becerra, Marley, et al.. (2005). Location of the vulnerable points to be struck by lightning in complex structures. 5 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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