J. London

3.4k total citations
124 papers, 1.8k citations indexed

About

J. London is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, J. London has authored 124 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Electrical and Electronic Engineering, 40 papers in Control and Systems Engineering and 25 papers in Safety, Risk, Reliability and Quality. Recurrent topics in J. London's work include Optimal Power Flow Distribution (63 papers), Power System Optimization and Stability (57 papers) and Power System Reliability and Maintenance (24 papers). J. London is often cited by papers focused on Optimal Power Flow Distribution (63 papers), Power System Optimization and Stability (57 papers) and Power System Reliability and Maintenance (24 papers). J. London collaborates with scholars based in Brazil, United States and Portugal. J. London's co-authors include N.G. Bretas, Alexandre C. B. Delbem, Júlio A. D. Massignan, Luís Alberto, Carlos Dias Maciel, Michel Bessani, G. J. Rottman, Danilo Sipoli Sanches, Harry van Loon and Takashi Sasamori and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and IEEE Transactions on Power Systems.

In The Last Decade

J. London

116 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
J. London Brazil 21 918 529 496 343 286 124 1.8k
Emil M. Constantinescu United States 22 668 0.7× 513 1.0× 190 0.4× 352 1.0× 16 0.1× 78 1.9k
Pierre Laroche France 22 449 0.5× 345 0.7× 126 0.3× 861 2.5× 1.2k 4.2× 99 1.9k
Ming Ma China 17 273 0.3× 109 0.2× 82 0.2× 284 0.8× 350 1.2× 64 955
Gerry Wiener United States 14 288 0.3× 986 1.9× 30 0.1× 790 2.3× 91 0.3× 34 1.6k
Wei Xue China 22 344 0.4× 381 0.7× 89 0.2× 321 0.9× 8 0.0× 146 2.2k
Umberto Amato Italy 22 161 0.2× 337 0.6× 66 0.1× 336 1.0× 30 0.1× 102 1.5k
Xiaodong Luo Norway 26 204 0.2× 345 0.7× 93 0.2× 252 0.7× 8 0.0× 134 1.9k
Rebecca Castaño United States 26 76 0.1× 620 1.2× 74 0.1× 640 1.9× 621 2.2× 121 2.4k
Risto Pirjola Finland 38 532 0.6× 48 0.1× 284 0.6× 51 0.1× 2.8k 9.9× 138 4.8k
François Dufour France 21 56 0.1× 128 0.2× 398 0.8× 71 0.2× 22 0.1× 128 1.3k

Countries citing papers authored by J. London

Since Specialization
Citations

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

Fields of papers citing papers by J. London

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. London

This figure shows the co-authorship network connecting the top 25 collaborators of J. London. A scholar is included among the top collaborators of J. London 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 J. London. J. London 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.
Massignan, Júlio A. D., et al.. (2025). Enhancing performance of state estimation algorithms with FACTS. Electric Power Systems Research. 246. 111641–111641.
2.
Oliveira, Carla, et al.. (2025). Modeling of smart inverter functions executed by photovoltaic systems for power flow analysis. Electric Power Systems Research. 248. 111873–111873.
3.
Bessani, Michel, et al.. (2023). Vulnerability and Recovery Capacity Assessment of Real Distribution Systems. Journal of Control Automation and Electrical Systems. 34(5). 1054–1069. 1 indexed citations
4.
Massignan, Júlio A. D., et al.. (2021). Bayesian Inference Approach for Information Fusion in Distribution System State Estimation. IEEE Transactions on Smart Grid. 13(1). 526–540. 45 indexed citations
5.
Bessani, Michel, et al.. (2019). Stochastic indexes for power distribution systems resilience analysis. IET Generation Transmission & Distribution. 13(12). 2507–2516. 13 indexed citations
6.
London, J., et al.. (2019). Analysis of the Hosting Capacity of a Real Distribution Feeder with Wind Generation. 1–5. 3 indexed citations
7.
Delbem, Alexandre C. B., et al.. (2017). Towards the improvement of multi-objective evolutionary algorithms for service restoration. 1–5. 2 indexed citations
8.
Silva, Rodrigo, Oriane M. Neto, Frederico Gadelha Guimarães, et al.. (2014). Differential evolution using ancestor tree for service restoration in power distribution systems. Applied Soft Computing. 23. 498–508. 21 indexed citations
9.
10.
Alberto, Luís, et al.. (2013). Power system state estimation: Undetectable bad data. International Transactions on Electrical Energy Systems. 24(1). 91–107. 11 indexed citations
11.
12.
London, J., et al.. (2009). A unified algorithm for observability and redundancy analysis. 1–7. 1 indexed citations
13.
London, J., Luís Alberto, & N.G. Bretas. (2007). Analysis of measurement-set qualitative characteristics for state-estimation purposes. IET Generation Transmission & Distribution. 1(1). 39–45. 59 indexed citations
14.
London, J., N.G. Bretas, & Luís Alberto. (2005). Analysis of measurement set qualitative characteristics for state estimation purposes. IEEE Power Engineering Society General Meeting, 2005. ii. 589–596. 2 indexed citations
15.
London, J., Lamine Mili, & N.G. Bretas. (2004). An observability analysis method for a combined parameter and state estimation of a power system. 594–599. 5 indexed citations
16.
London, J., et al.. (1992). Long-term tropospheric and lower stratospheric ozone variations from ozonesonde observations. Journal of Atmospheric and Terrestrial Physics. 54(5). 599–625. 37 indexed citations
17.
London, J. & Lori M. Perliski. (1989). Hemispheric Differences in Observed Stratospheric Ozone. 211. 1 indexed citations
18.
London, J.. (1985). The observed distribution of atmospheric ozone and its variations. NASA Technical Reports Server (NASA). 11–80. 27 indexed citations
19.
Rottman, G. J., C. A. Barth, Ronald J. Thomas, et al.. (1982). Solar spectral irradiance, 120 to 190nm, October 13, 1981 ‐ January 3, 1982. Geophysical Research Letters. 9(5). 587–590. 61 indexed citations
20.
Haurwitz, B., et al.. (1957). Solar activity and atmospheric tides. Journal of Geophysical Research Atmospheres. 62(3). 489–491. 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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